SRC Poster Competition & General Poster Session

Thursday, November 10th 6:30 – 9:00 PM
Convention Center – Exhibit Halls B and C


SRC Poster Competition – Undergraduate

In alphabetical order by title:

Alice in WonderClassroom

The poster is based on a research conducted during the fall of 2010 to measure the effectiveness of the free 3D animation software called ALICE in addressing the individual learning needs of children with special needs. The research was conducted in Polo Road Elementary School in a special education classroom with ten autistic children. The poster summarizes the effectiveness, limitations and future analysis of the research.

Presenter: Pragya Tripathi (Columbia College)
Pragya Tripathi is a junior undergraduate student at Columbia College, SC. She is originally from Kathmandu, Nepal. She enjoys problem solving and mathematics. However, instead of being just a Math major, she wanted to expand her horizons and apply the concept of Mathematics in the real world. Thus, she chose to major in Computer Science and Accounting. Her major goal in life is to help change the world by expanding the use of advancing technology, especially in developing countries. Database, networks and programming are her major areas of interest in Computer Science.

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Research of Chemical Hydrogen Storage for Fuel Cell as Mobile Computer Power Source

We are carried out the research of chemical hydrogen storage for fuel cell as mobile computer’s power source. The fuel cell uses hydrogen and its only discharge is water. Among the various alternative energy strategies, constructing an energy infrastructure that uses hydrogen as the primary carrier may enable a secure and clean energy future. That is the reason why we recommend using the fuel cell as mobile computer’s power source.

Presenter: Hikari Murota (Toyama National College of Technology)
Ms. Hikari Murota entered Toyama National College of Technology in 2007. She is studying environmental catalysts such as the chemical hydrogen storage for fuel cell as mobile computer’s power source. She prefers experiments and she will be a chemical analyst. Now, she applies to enter a chemical company in Toyama.

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Unsupervised Phoneme Segmentation in Continuous Speech

Children rapidly learn the inventory of phonemes used in their native tongues. Computational approaches to learning phoneme boundaries from speech data do not yet reach the same level of human performance. We present an unsupervised algorithm, inspired by approaches to text segmentation, that discretizes continuous speech into a sequence of phonemes. We present empirical results of our method on the TIMIT data set.

Presenter: Stephanie M. Antetomaso (Wheaton College)
Stephanie Antetomaso is a senior at Wheaton College in Massachusetts where she is majoring in Linguistics and Russian Studies. Her current area of focus is computational linguistics, specifically audio and text segmentation and the use of deterministic finite state automata to describe ordered alphabets. She is particularly interested in natural language processing and human-computer interaction.

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What If Application Demands Phonetic Similarity?

A novel approach for searching in database of names has been proposed. Many efficient indexing and searching algorithms exist for dictionary words. However, most of them perform badly for database of names, as there is no standard way to spell a name. Phonetic similarity is the most important criterion for matching names. Hence, we have designed and implemented a “phoneme based indexing structure” which supports multilevel searching, thus performs better.

Presenter:Avani Nandini (Indian Institute of Technology, Kanpur)
I am a fourth year B.tech-M.Tech dual degree student in department of computer science and engineering at IIT Kanpur. Having lived most of my life in hostels, somehow getting involved in studies has been my hobby. I am very passionate about research and always dreamed of giving my contributions in research. My stay has been exciting with challenges at many stages. One such was last year when I successfully completed my internship at Microsoft Research Redmond, Washington working at a PHD level.

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SRC Poster Competition – Graduate

In alphabetical order by title:

A Fast Scale Invariant Method for Traffic Sign Detection and Tracking

Traffic sign (TS) detection and tracking is one of the main tasks of an autonomous vehicle in order to follow traffic laws. Besides, TS detection and tracking can provide feedback to the driver. In this work, a fast method is proposed that incorporates the changes in shape and scale of traffic signs and estimates the local scale of the tracked TS in the image in addition to its new location.

Presenter: Behnoush Abdollahi (University of Louisville)
I am a Master Student in Computer Science at University of Louisville. I am currently working as a research assistant under the guidance of Dr. Ming Ouyang and will be starting my PhD from Fall 2012. My research area is computer vision. As master thesis, I have been working on object detection and tracking methods for road-signs in moving camera video sequences. I also have a keen passion for data mining, social network mining and game programming. Before coming to Louisville, I completed my bachelor’s degree in Computer Software Engineering at University of Tehran, Iran.

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A Soft Circuit Curriculum to Promote Technological Self-Efficacy

Engaging in hands-on activities, such as creating soft, electronic textile (e-textile) circuits, is one promising path to building self-efficacy and scientific understanding – both of which can have a dramatic impact on diversity in computing. To this end, I have developed a set of e-textile instructional materials for informal learning environments. I have subsequently assessed these materials and their preliminary impact on students through a short series of workshops.

Presenter: Emily Lovell (Massachusetts Institute of Technology Media Lab)
Emily Lovell is currently a doctoral student in the High-Low Tech research group at the MIT Media Lab. Guided by an interest in technological self-efficacy, her research focuses on creating electronic textile (e-textile) support materials for educators. She has also helped to design and develop an online e-textile community known as LilyPond. Emily also holds a B.A. in Computer Science with a minor in Electronic Music from the University of California at Santa Cruz and a certificate in Graphic Design from the Center for Digital Imaging Arts at Boston University.

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A Statistical and Combinatorial Approach for Fault Detection in Large-Scale Data and Event-Driven Applications

The world’s largest computational problems are solved on a class of large and powerful computers. Performance of applications that run on these machines are functions of several components and understanding failures and detecting performance problems is difficult. My research utilizes combinatorial algorithms to create statistical models to describe the behavior of large systems and applications thereby making it possible to identify, localize, and classify faults while also optimizing system performance.

Presenter: Steena D. Monteiro (Utah State University/Lawrence Livermore National Laboratory)
Steena Monteiro is a Computer Science Ph.D. student at Utah State University and is currently a Lawrence Scholar at Lawrence Livermore National Laboratory. Her research is focused on combinatorial testing algorithms and fault detection in large-scale data and event driven applications. Her other research interests include cyber defense architectures, computer forensics, statistical classifiers, and R.

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A Technique to Achieve Higher Utilization Bound for Static-Priority Tasks on Multiprocessors

In this poster I propose an algorithm for scheduling real-time periodic tasks on multiprocessors using a new task splitting technique. The feasibility of worst-case performance is analyzed. It also proves that if the load of a task-set is less than an arbitrary percentage of the total processing capacity of a system, all tasks meet their deadlines. This algorithm is applicable for online scheduling and scalable with increasing number of processors.

Presenter: Molood Noori Alavijeh (Chalmers University of Technology)
Molood is a computer engineer who is also dominant at social life. She graduated from the high school of National Organization for Development of Exceptional Talents in Iran and studied Information Technology in college. She has done research in emotional intelligence, Service-Oriented Architecture and meta-heuristic algorithms as well as real-time systems. In 2008 she moved to Sweden to study in Chalmers University of Technology. She has worked as researcher in FCC and as Software Developer in Ericsson. She was the president of Chalmers International Reception Committee in 2010. She was also a young journalist before becoming a technical woman.

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An Empirical Study of Link Quality in Embedded Wireless Networks

Applications of embedded wireless networks range from social networking to saving lives. Still, designers face challenges in estimating the quality of wireless links. This leads to unexpected application performance and may deem an application ineffective. We present an empirical analysis of some factors affecting link quality. Specifically, we study the effects of height differences between nodes, device orientation, and transmission rate on link quality for networks deployed in open environments.

Presenter: Sally K. Wahba (Clemson University)
After graduating from The American University in Cairo (Egypt), Sally joined IBM Egypt then ITWorx as a software engineer. In Fall 2006, Sally joined the PhD program in the School of Computing at Clemson University. She plans to graduate in 2012. Sally’s research interests span software engineering and wireless sensor networks. Specifically, she is interested in modeling and simulating wireless network systems. Sally was the first graduate student from Clemson to receive the Google Anita Borg Memorial Scholarship. Apart from research, Sally is involved in numerous service activities and has served as a reviewer for multiple conferences and journals.

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Anticipatory Wireless Bitrate Control for Blocks

We present BlockRate, a wireless bitrate adaptation algorithm for blocks, or large contiguous units of data, as opposed to small packets. In contrast to state-of-the-art algorithms that can either have the amortization benefits of blocks or high responsiveness to underlying channel conditions of packets, BlockRate has both. BlockRate converts the hurdle, namely large feedback block delays, to an opportunity by predicting coarse-grained channel trends over the course of block transmission.

Presenter: Xiaozheng Tie (University of Massachusetts, Amherst)
Xiaozheng Tie is a PhD student at Computer Science Department, University of Massachusetts Amherst. She received her M.S. in Computer Science from University of Massachusetts Amherst in 2011, and her B.S. in Computer Science from Tsinghua University in China in 2008. Her research interests are broadly in the areas of networks and distributed systems, with an emphasis on wireless networks and mobile networks.

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APMap – Towards Mapping the Wi-Fi Weather

To enable analysis of smartphone networking performance, we need a way to collect data that would help characterizing aspects of mobile communications including usability trends, networks and applications performance. The collected data must provide information for multiple locations and should enable capturing the dynamics of changing networks. We address these problems by proposing a smart-phone application – APMap, that utilizes smart-phones to perform location aware sniffing in wireless networks.

Presenter: Mariya Zheleva (University of California, Santa Barbara)
Mariya Zheleva is a second year PhD student in the Department of Computer Science at University of California, Santa Barbara. Her research interest is in wireless networking and more specifically in medium access control, measurements in wireless networks and smart-phones. She is a member of the MOMENT lab at UCSB and is working under the supervision of Professor Elizabeth Belding.


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Automated Detection and Analysis of Dermoscopic Structures on Dermoscopy Images

There is an increasing demand for computer aided-diagnosis of skin lesions. Our method is a fully automated skin lesion analysis that successfully segments and analyzes the three important dermoscopic structures of skin cancers which are used to aid skin cancer diagnosis. Our results over 500 images show an accuracy of 93% on pigment network detection, 82% on typical-atypical pigment network classification, 74% on streaks detection, and 84% on scale detection.

Presenter: Maryam Sadeghi (Simon Fraser University)
Maryam Sadeghi received her BSc in Computer Engineering from Iran University of Science and Technology in 2006. She is currently pursuing a PhD in Computing Science at Simon Fraser University in the Medical Image Analysis lab working closely with the Cancer Control Research Program, BC Cancer Agency and UBC Dermatology Department. Her research focuses on computer vision and analysis of dermoscopic images, computer-aided diagnosis and prevention of skin cancer.


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BenchLab: An Open Testbed for Realistic Benchmarking of Web Applications

Popular benchmarks like TPC-W that are commonly used for evaluation by the systems community are no longer representative of modern Web applications. Many of these benchmarks lack features such as JavaScript and AJAX. Further, they rely on emulators that mimic the basic network functionality of real web browsers but cannot emulate their more complex interactions. We propose BenchLab, an open testbed that uses real browsers with real applications and datasets.

Presenter: Veena Udayabhanu (University of Massachusetts, Amherst)
My name is Veena Udayabhanu and I am a first-year graduate student in the Department of Computer Science at University of Massachusetts, Amherst. My advisor is Prof. Prashant Shenoy. My research interests are broadly in the areas of Operating Systems and Distributed Systems, with a focus on Cloud Computing, Virtualization Technology and Web Benchmarking. I am currently working on a project titled BenchLab that aims at developing an Open Testbed for Realistic Benchmarking of Web Applications with Dr.Emmanuel Cecchet and Prof.Prashant Shenoy. I enjoy playing tennis, travelling and trekking in my free time.

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Distribution Column Overviews in Tabular Visualizations

While visual overviews have been proposed for tables with a single value per cell, we present a novel way to summarize tables containing columns of distributions (e.g. the distributions of ages across counties, distribution of movie-ratings and trust-ratings in recommender-systems). Our proposed interactive overviews of distribution-columns reveal interesting patterns, outliers or correlation in columns. Our case studies include data from of telephone calls, online community evolution and movie-recommendation systems.

Presenter: Awalin Sopan (University of Maryland, College Park)
Awalin Nabila Sopan is a PhD student at the department of computer science of University of Maryland. Currently she is a research assistant at the Human-computer Interaction Lab in the area of Information visualization, working in developing visual analytic tool and methods for temporal evolution of online social network. She worked as a software engineer at Escenic Asia developing content management system using J2EE. She completed her undergraduate in Computer Science and Engineering from Bangladesh University of Engineering of Engineering and Technology. HCI and Information visualization for networks are her prime research focus. Also enjoys hiking, photography and music.

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ePortfolios, Digital Identity Development, and Communities of Practice

ePortfolios are tools for students to critically reflect on their education and its connection to their current or future lives in a digital environment; they also serve as academic assessment tools. This preliminary study provides insight into how ePortfolios can also inform our understanding of identity formation, social learning, and communities of practice, and the role these play in learning, especially for non-traditional and underrepresented students.

Presenter: Kathryn M. Wozniak (DePaul University)
Kathryn Wozniak is working on her Ph.D. at DePaul University’s College of Computing & Digital Media, wherein she will focus her dissertation research on ePortfolios. She is also the coordinator of an ePortfolio pilot program at DePaul’s School for New Learning, where she teaches academic and professional writing to adult students. Her areas of interest include educational technology, learning sciences, and human-computer interaction. She and two of her colleagues were awarded the 2009 Kairos: Journal of Rhetoric, Technology, and Pedagogy “Best Webtext” Award for their publication, “Expanding the Space of f2f: Writing Centers and Audio-Visual-Textual Conferencing” (Yergeau, Wozniak, & Vandenberg, 2009).

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Generating Op Art Lines

TBD

Presenter: Tiffany C. Inglis (University of Waterloo)
Growing up in Vancouver, Tiffany was always very interested in mathematics and logic puzzles. She received numerous awards for math contests in high school and consequently obtained a Bachelor’s degree in math and statistics at the University of British Columbia. For graduate studies, Tiffany shifted her focus to computational aesthetics and decided to pursue a PhD in Computer Science specializing in mathematical art at the University of Waterloo. Her areas of interest include picture logic puzzles, Op Art, computational geometry, and pixel art.

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High-Throughput Virtual Molecular Docking Within the MapReduce Framework of Hadoop

High-throughput virtual molecular docking is a method used in computer-aided drug design that greatly reduces the time and cost of suggesting new potential pharmaceuticals. This high-throughput screening is a task parallel process and therefore well suited for distributed computing. In this study, I use the Hadoop framework implementing the MapReduce paradigm for distributed computing on a cloud platform and the widely used open-source molecular docking program, AutoDock4.

Presenter: Sally R. Ellingson (University of Tennessee)
Sally Ellingson has B.S. degrees in Computer Science and Mathematical Science and is currently working on her PhD in Genome Science and Technology with a minor in Computational Sciences. She is a recipient of the Scalable Computing and Leading Edge Innovative Technologies for Biology graduate training program (NSF/IGERT). She works at the Center for Molecular Biophysics at Oak Ridge National Laboratory with her PhD advisor Dr. Jerome Baudry. Sally’s current interests include the development and application of high-throughput molecular docking programs that run in distributed and parallel environments which reduce the time and cost of the novel drug discovery process.

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Human-Computer Collaboration in Level Design for Computer Games

Creating a good level for a game is a highly iterative process. The level must be tested frequently to ensure that it is even playable: there should be no areas unreachable by the player. Minor changes can have wide-ranging consequences on the entire level’s design. This poster presents an AI-assisted tool that aims to alleviate design burden through its ability to suggest content and ensure that the level is playable.

Presenter: Gillian Smith (University of California, Santa Cruz)
Gillian Smith is a PhD candidate at the University of California, Santa Cruz, studying in the Center for Games and Playable Media with Professors Jim Whitehead and Michael Mateas. Her research interests lie in procedural content generation for computer games, how it can be used to create new playable experiences, how to evaluate procedurally generated content, and how computers can assist during the design process. She also teaches game design and programming in COSMOS, a California summer outreach program for high school students.

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Joint Inference for Extracting Text Descriptors from Triage Images of Mass Disaster Victims

Mass disasters lead to searches for missing family and friends, which can be facilitated by automatically extracting textual descriptors of patients from images taken at emergency triage centers. The main contributions of this work include a set of biographical feature extractors unified in a probabilistic graphical model that together produce text descriptors from triage images. The model is built using domain domain knowledge and data obtained from Amazon’s Mechanical Turk.

Presenter: Niyati Chhaya (University of Maryland, Baltimore County)
Niyati Chhaya is a PhD student in Computer Science in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). Her dissertation research is a combination of computer vision and machine learning where she is working on building a representation to exploit relationships between different soft biometrics features. Her research interests include machine learning, computer vision, image processing, and artificial intelligence. She holds a Masters’ Degree from UMBC and an undergraduate degree in Computer Science from University of Pune, India.

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Leveraging Domain Knowledge to Learn Multiple Bayesian Network Structures

Existing algorithms that learn Bayesian networks from related datasets ignore valuable, real-world information about the relationships among datasets. I present a novel algorithm that learns multiple Bayesian networks for a collection of unsupervised machine learning tasks when data is limited and a metric of the relatedness of tasks is given. This is the first general multitask, network learning algorithm that incorporates domain knowledge about the relatedness of tasks.

Presenter: Diane Oyen (University of New Mexico)
Diane Oyen is a Ph.D. candidate in Computer Science at the University of New Mexico. She received her B.S. in Electrical and Computer Engineering from Carnegie Mellon University. Her research develops machine learning algorithms for the discovery of patterns of network activity in brain imaging data from people with varied backgrounds, including mental illness. These functional brain networks tell us how individual areas of the brain interact with each other. They are similar, but not identical, from person to person and it is valuable to understand how mental illness and treatment affect the brain as a network.

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Sharing Revenue of Online Ads Over Social Networks

We present the design and analysis of revenue sharing schemes for incentivized advertising over social networks. We use cooperative game theory and the Shapley value to design revenue sharing schemes to incentivize users to assist the social network platform for more effective advertising. Our mechanisms achieve desirable objectives in terms of computability, individual rationality, and reach. We analyze models of ad propagation and study them both theoretically and via simulations.

Presenter: Zeinab Abbassi (Columbia University)
Zeinab Abbassi is a PhD student of Computer Science at Columbia University. She received her M.Sc. from the Department of Computer Science, University of British Columbia, and prior to that her B.Sc. from Sharif University of Technology, Tehran, Iran. She is interested in Social Networks, and Recommender Systems.

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Walking-In-Place Technique Based on Mobile Devices

This study describes an approach to design a walking-in-place (WIP) interaction technique based on a sensor fusion and a wireless communication. A new computationally-efficient algorithm was proposed to reduce detection and communication latency, after characterizing acceleration and magnetic sensors integrated in a smart phone. The results of initial experiments showed that the new WIP interaction technique can detect a variety of gaits and speeds with low latency and computation overhead.

Presenter: Ji-Sun Kim (Virginia Tech)
Ji-Sun Kim is a Ph.D. candidate in the department of Computer Science and Center for HCI at Virginia Tech. Before joining Virginia Tech, she had some experiences as a software developer in industry over five years. Her research interests include 3D interaction techniques for learning and user interface software development on multi-platforms. Her current research work focuses on pursuing development of an advanced interaction design concept leveraging core theories in neuroscience and psychology. In addition to her research, she has also served by mentoring undergraduate students in a multidisciplinary Research Experience for Undergraduates (REU) program for the last three years.

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Widening Tunnels in Protein Structures

We describe algorithms for finding and widening tunnels in proteins. Given a fixed conformation of a protein with a buried active site, we first identify and visualize the widest tunnel from the active site to the outside environment. Then we try to make the tunnel wider by considering various alternative conformations of the protein. Our experiments show that in most cases we can make the tunnels wider in alternative conformations.

Presenter: Somayyeh Zangooei (University of Waterloo)
Somayyeh Zangooei is a graduate student in the School of Computer Science at the University of Waterloo. Her main research interest is structural Bioinformatics and algorithms. Currently she is working on developing efficient algorithms for computing and widening tunnels in protein structures. She is also a member of Women in Computer Science (WICS) committee. The objective of this committee is to establish a supportive environment for women in Computer Science.

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General Poster Session

In alphabetical order by title:

ABCDEFGHIJKLMOPRSTUVWY

3D Automatic Vessel Enhancement Technique in MRA Images

We present an enhancement method based on nonlinear diffusion filter and statistical intensity approaches for smoothing and extracting 3D vascular system from Magnetic Resonance Angiography data. Our method distinguishes and enhances the vessels from the other embedded tissues. The Expectation Maximization technique is employed with non-linear diffusion filter to find the optimal contrast for enhancing vessels; therefore, smoothing while dimming the embedded tissues around the vessels and brightening the vessels.

Presenter: Behnaz Abdollahi (University of Louisville)
I am currently a PhD student in Electrical and Computer Engineering Department at the University of Louisville with focus on medical image analysis. I started in January 2009. I finished my master degree in 2006 and I studied in Computer Engineering Department at the Sharif University of Technology; which is one of the top technical universities in Iran, and my final project was on segmenting medical images. My major was computer engineering during my bachelor, and my final project was on database systems. My research and software development experience have truly helped me to become very enthusiastic in both fields.

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3D Sketching Interaction Metaphors Using Fabric for Surface Design

Tools for 3D surface design such as 3D Studio Max, use traditional keyboard/mouse interactions to develop surfaces, lacking in freeform movements more easily accomplished in 3D interaction. We discover different 3D interaction metaphors with respect to fabric and surface design, and we organize the metaphors to further aid the design of deformable interfaces. The 3D interactions will come from a user study on using a fabric-based system.

Presenter: Anamary Leal (Virginia Tech)
Anamary Leal is a first year doctoral computer science student at the Center of Human-Computer interaction at Virginia Tech. She is interested in Human-Computer Interaction, specifically 3D User Interfaces, and gaming, and researches how to use 3d interactions to aid in surface design. Anamary is an avid supporter of women and minorities in computer science, as the Grace Hoper co-chair of Virginia Tech’s Association of Women in Computing, and held a similar role at the University of Central Florida. She is also a recipient of the NSF Graduate Fellowship, GEM Fellowship and Google Hispanic Scholars.

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A Domain-Specific Language Based Approach for Writing Error-Free Asynchronous Communication Protocols

Asynchronous communication is often the key to achieve an increased performance in high performance computing. However, such communication is prone to subtle bugs such as deadlocks; which are difficult to detect due to their infrequency in occurrence. A specification language is introduced to allow developer encode protocol’s semantic information in such a way that the relevancy of protocol characteristics in terms of its correctness can be expressed and verified.

Presenter: Pooja Adhikari (Mississippi State University)
I am a master’s continued PhD student in the Department of Computer Science and Engineering at Mississippi State University since January 2007. I completed my undergraduate in Computer Engineering from Tribhuwan University, Nepal in 2005. At Mississippi State, my research goal is to reduce the cost of verification of parallel asynchronous communication protocol in high performance computing using finite state verification. I am working on building a model specific language that supports both protocol specification and automatic verification. I have presented my work in 22nd international conference on parallel and distributed computing in 2009.

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A Journey to the Center of the SSD: Same Device, Different World

Flash memory is transforming the way we store our data. It’s high density, low power and solid state nature place it into our cell phones, digital cameras, thumb drives and Solid State Disks (SSDs). We explore ways to enhance SSDs’ functionality by using a deeper understanding of the memory technology. We provide a mechanism to support erasure of sensitive information and we selectively enhance performance and reliability of critical operations.

Presenter: Laura Grupp (University of California, San Diego)
Laura is a PhD student in the department of Computer Science and Engineering at the University of California, San Diego. Her current research focuses on improving Flash Translation Layers through characterization of flash memory. She is a Microsoft Research Scholar, an Emerging Leaders Boeing Scholar, a NASA Space Grant Scholar, and has received the Karl Ellerbeck EE scholarship.

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A Novel Approach for Network Sampling

To efficiently study the characteristics of network domains, it is necessary to sample a representative subgraph from a large network. While prior research has shown that topological sampling methods produce accurate samples, they do not produce samples that match the distributions of graph properties. We address this problem using a novel algorithm called TIES that consists of (1) edge-based node selection, and (2) graph induction step to select additional edges.

Presenter: Nesreen Ahmed (Purdue University)
Nesreen is currently a PhD student and a research assistant in the CS department at Purdue University. Her research interests are in machine learning and data mining. She is also a member of Statistical Machine Learning @Purdue. Nesreen received her Bachelor and Masters degrees from the Information Technology department @Cairo University. Nesreen is currently working on sampling social networks. Social networks have witnessed a tremendous popularity recently which makes it important to study their behavior. However, their large size makes it computationally challenging to study. This can be solved by using network sampling.

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A Practical Congestion Control Algorithm for Real-Time Multimedia Streaming

In this work, we propose Tunable TCP-Friendly Window Control (TTFWC) which provides high sending rate for throughput-sensitive multimedia applications. Although applications such as on-demand video and audio streaming require high sending rate, existing congestion control algorithms, such as TFRC and TFWC compromise sending rate for smoothness. By modifying TFWC to more responsive, TTFWC achieves 35 % higher throughput than the original TFWC without compromising fairness between competing TCP flows.

Presenter: Midori Kato (Keio University)
Midori Kato was born in 1989. She is an undergraduate student in Faculty of Environment and Information at Keio University, Japan. Her major field of research is congestion control for multimedia streaming. Her research interests include IPv6 network design, network measurement and network visualization.

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A Probabilistic Trust and Reputation Model for Supply Chain Management

One of the critical factors for a successful cooperative relationship in real-world environments such as Supply Chain Management (SCM) is trust. One shortcoming of current SCM models is that their trust models are ad hoc and do not have a strong theoretical basis. My thesis will contribute to the field of multi-agent systems by proposing a novel and formal trust-based decision model for supply chain management.

Presenter: Yasaman Haghpanah (University of Maryland, Baltimore County)
Yasaman Haghpanah is a doctoral candidate in the computer science at the University of Maryland, Baltimore County (UMBC). Her anticipated graduation date is May 2012. Her research is on modeling trust and reputation in supply chain management and online markets. She is interested in learning peoples’ reviewing, rating, or reporting behavior, and then use the learned behavior to adjust the reviews, rates or reports. She is currently collaborating with researchers in the supply chain field to integrate her model into a supply chain management application. She serves as the president of ACM student chapter at UMBC.

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A Self-Managed Cloud Cache for Accelerating Data-Intensive Applications

To facilitate highly compute and data-intensive processes in today’s scientific world, clouds are becoming indispensible. We propose a fully autonomous cloud-cache-engine (implemented over AWS cloud) that accelerates compute-intensive processes by caching intermediate results for re-use. Our system intelligently provisions resources at runtime based on user’s cost and performance expectations, while abstracting the various low-level decisions regarding efficient cloud resource allocation and data placement within cloud storage hierarchy from the user.

Presenter: Farhana M. Kabir (Washington State University, Vancouver)
Farhana Kabir is currently pursuing a Masters in Computer Science at Washington State University Vancouver. Her research area is Cloud Computing, under the supervision of Dr. David Chiu. She received a B.S. in CS (with highest distinction) from Purdue University. In the past she has worked as a software developer for Oracle Corp. More recently she was a graduate intern at Intel’s Digital Home Group, working on the security controller software for Intel® CE media processor. Cloud Computing, Information Retrieval, Networking, and Security are among the technologies she is most excited about and wishes to work on in the future.

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A Technological Investigation of Counter Human Trafficking Organizations in Colorado

According to the U.S. Department of State (2010), 12.3 million people are victims of human trafficking worldwide. Although trafficking of persons is a well-researched topic, little research has been conducted about the use of information technology to combat human trafficking. This study conducted web crawler methodology to explore how counter human trafficking entities collaborate with one another and how technology is utilized to suit collaborative and counter trafficking efforts.

Presenter: Rachel K. Strobel (University of Colorado at Boulder)
Rachel Strobel is a researcher at the University of Colorado at Boulder in Information, Communication, and Technology for Development (ICTD), with specific research interest in utilizing technology for counter human trafficking efforts. Research endeavors have led Rachel to Mexico City, Mexico twice in 2011, in collaboration with counter trafficking organization – iEmpathize, the Mexican Government, and Mexican safe home – Camino A Casa. Rachel’s research has been presented in Puerto Rico; Buffalo, NY; and Berkley, CA. Rachel has been accepted to the MS-ICTD program at CU Boulder for fall 2012.

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A Web-Based Machine Learning Framework

We propose a comprehensive and interactive web-based machine learning suite that will allow researchers and practitioners to use a wide collection of basic and experimental learning algorithms and sophisticated visualization and analysis tools. ML-Lab includes a large variety of machine learning algorithms for resampling, feature selection and extraction, classification and ensemble methods, as well as tools to visualize the experimental results of statistical comparison and testing.

Presenter: Pinar Yanardag Delul (Bogazici University/Purdue University)
Pinar Yanardag is a Ph.D. student at Purdue University, Department of Computer Science under Fulbright Ph.D. fellowship and Google Anita Borg scholarship. She holds a bachelor’s and a master’s degree, both in Computer Engineering from Canakkale and Bogazici University, respectively. Prior to moving to United States, she worked for TUBITAK UEKAE (The National Research Institute of Electronics and Cryptology, Turkey) as a Security Team Leader and worked for Parkyeri (selected as the fastest growing Internet company in Turkey) as a project manager and developer, and also worked as a mentor for Google during Google Summer of Code.

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Acoustic Recognition and Classification of Bats

The goal of this work is recognition and classification of bat echolocation calls in the vicinity of wind turbines. Since there are large number of reports of bat mortality due to collision with the wind turbines, it is important to safe guard their population. This work will help in identifying bat population in wind farms. Artificial Intelligence techniques such as Neural Networks and genetic Algorithm are developed to classify bat calls.

Presenter: Golrokh Mirzaei (University of Toledo)
I am a PhD student / research assistant in the University of Toledo in the Electrical Engineering and Computer Science. My research area is mostly in the signal processing, Image Processing , Artificial Intelligence and Bio Inspired Computing. I have several publications on Evolutionary Neural Networls, Detection and classification of targets in acoustics and Imaging, Wireless networks and Smart Grid. I was the reviewer of the Journal of Supercomputing, Springer (SC2011) and the IEEE International Symposium on Circuits ans Systems(ISCAS2011). Also I have one year experience teaching in the University.

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Addressing The Gender Gap In Federal Law Enforcement Professions: What If More Women Had A Motivational Attraction To Computing?

Nationwide, federal law enforcement agencies seek candidates with specialized skill sets and an advanced education for employment. A significant step in encouraging women to pursue computing careers is to examine the reasons women, currently employed in federal law enforcement, have chosen a computer-related career path. Research that provides an analysis of the motivations that exist for women in computing professions will help address equal representation of women in the field.

Presenter: Maegan Stanek (Rochester Institute of Technology)
My name is Maegan Stanek. I am twenty five years old and reside in Buffalo, NY. I received my Master’s Degree from the Rochester Institute of Technology in Networking, Security, and Systems Administration, and my Bachelor’s Degree from Hilbert College in Economic Crime Investigation, with a concentration in Computer Security. I currently work in Cyber Intelligence Research for the Department of Justice. I have previous work experience with the Department of Homeland Security, as well as the Western New York Regional Computer Forensics Laboratory. I have attended the Google Workshop for Women Engineers, as well the GHC Conference in 2009.

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An Integrated Hardware/Software Approach for the Implementation of Time-Frequency Distributions on FPGAs

This work presents an environment for the analysis, design, implementation, and modification of time-frequency distributions using an integrated hardware/software approach. The proposed approach is conformed of five stages: algorithms: 1) Signal processing algorithm development using the numeric computation software package Matlab; 2) Simulink formulation of signal processing algorithms; 3) System generator algorithms implementation; 4) Field Programmable Gate Array (FPGA) algorithm simulation and emulation; 5) Signal processing algorithm validation through Matlab.

Presenter: Maria Gonzalez-Gil (University of Puerto Rico at MayagĂĽez)
Maria D. Gonzalez-Gil is a Computer Engineering undergraduate student at the University of Puerto Rico- Mayagüez. In order to accomplish her careers goals, expand her knowledge, and get practical experiences, she has participated in several research experiences for undergraduates. Her research works include: “An integrated Hardware/Software Environment for the Implementation of Signal Processing Algorithms on FPGA Architectures,” at University of Puerto Rico- Mayagüez; “Characterizing Application Specific Accelerators on Mobile Processors,” at Drexel University; “GPU vs. CPU Math Matrix Multiplication,” at University of Kentucky; and “Predicting Survival Time Using Genomic Data,” at University of South Florida.

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Ants! What If We Learn From Them?

We explore how real ants collaboratively solve several complicated problems like forming a trail on the shortest path to a food source and avoidance of traffic jams despite being blind. Each ant chooses a path independently using only local pheromone concentrations on paths and communicates indirectly. This behavior is extremely attractive for solving distributed dynamic optimization problems wherein agents make simple independent decisions and yet collaboratively solve a complex problem.

Presenter: Sameena Shah (Indian Institute of Technology, Delhi)
Sameena works in the area of Swarm Intelligence, Machine Learning.

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AppFlow-Based Autonomic Performance-Per-Watt Management of Large-Scale Data Centers

With the rapid growth of servers and applications spurred by the Internet, the power consumption of servers has become critically important and must be efficiently managed. This paper presents a theoretical and experimental framework and general methodology for hierarchical autonomic power & performance management in high performance distributed data centers. We adopt mathematically rigorous optimization approach to prevent over-provisioning in data centers thus reducing power while maintaining performance.

Presenter: Bithika Khargharia (Cisco)
Bithika Khargharia received the BS degree in Electrical Engineering from Assam Engineering College, India in 2000 and the MS and PhD degrees in Electrical and Computer Engineering from the University of Arizona, Tucson, in 2003 and 2008, respectively. She is currently working with Cisco Systems on their next-generation enterprise router architecture. Her research focus is in the area of power and performance management, computer architecture, operating systems, autonomic computing, and high-performance distributed computing. Bithika is also active in the SWE community and in GHC having held different roles since 2008. She is a member of IEEE.

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Applying a Facial Recognition Login Module to a Virtual Interview System

We outline our attempts to add a facial recognition module to simplify logging in to a virtual interview system. The speaking ability of Japanese students studying English is relatively poor. English language teaching has ignored the important aspects of speaking. But for future jobs, speaking practice is very important. Facial recognition will simplify and speed up the login process, so students can have more speaking practice in class.

Presenter: Mizuho Yago (Toyama National College of Technology)
Mizuho Yago received her Associate of Arts in Computer Engineering from Toyama National College of Technology, Japan. She is in the Advanced Course Department of Control Information System Engineering Course at Toyama National College of Technology. She wants to learn more about the working ways of women in foreign countries, and become part of a network of women engineers. Last year, she was a member of the “Kosen Branding Project” for women engineers at Toyama National College of Technology.

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Architecture of High level Defense System for Network Security Using Honeypots

Now a days the number of attacks has been increasing on internet leading to compromise of many networks and sensitive information, causing large frauds.so every client and server using the internet is prone to attack. In such a situation it is always needed to employ a good defense system for network security.We propose an architecture which helps in achieving this using honeypots which can detect both client and server side attacks.

Presenter: Divya Chaganti (Birla Institute of Technology and Science, Pilani Hyderabad Campus)
I am Divya Chaganti,currently pursuing my BTech in Computer Sciences from BITS Pilani,Hyderabad campus. I am interested in network security and currently I am researching on adoption of honeypots for Intrusion Detections. I also did paper presentations on Intrusion Detection System. I am also interested in Distributed Computing and Computer graphics. My favorite passtime is to do a lot of browsing related to technical innovations and they inspire me. I am interested in applying computer science to solve real world problems. I am also serving as a member of National Service Scheme and conduct many service activities along with other members.

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Benefits of Colocated Collaboration on Large High Resolution Displays

Large, high-resolution displays equipped with multiple input devices facilitate an easy transition from individual to collaborative work while providing benefits to collaborators. These benefits, extrapolated from an initial user study, include effortless ad hoc collaboration, sufficient space for personal, shared, and storage territories, easy information transfer, and no additional learning curve to use the system. Further research should be conducted in this field, starting with a real-world observational study.

Presenter: Lauren Bradel (Virginia Tech)
Lauren is a second-year Computer Science Ph.D. student at Virginia Tech advised by Dr. Chris North. She is currently researching co-located collaborative sensemaking for intelligence analysis on large, high-resolution displays . Lauren is an active member of Virginia Tech’s Association for Women in Computing, currently serving as the Public Relations chair.

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Body Area Network for Biotelemetric Applications

Firefighting is one of the most physically demanding and exhausting activities a human body can perform. Stress or overexertion are the most common causes of death amongst firefighters. This project proposes the design, development and implementation of a body area network for health monitoring. Our system involves a small sensor network which transmits real-time data to a master node. An interrogator is implemented using a software defined radio module platform.

Presenter: Yolián Amaro-Rivera (University of Puerto Rico at Mayagüez)
Yolián Amaro-Rivera is a Computer Engineering undergraduate student at the University of Puerto Rico at Mayagüez (UPRM). Through her academic life she has been involved in research at various institutions such as Virginia Tech, University of Colorado at Boulder and UPRM. Yolián is member of FemProf, an organization that encourages female computer engineers and computer scientists to follow academic career paths towards the professoriate, SWE (Society of Women Engineers) and Campus Verde, an environmental organization. She currently works at the Intelligent Wireless and Networked Communications Laboratory (iWiNC) with Dr. Lizdabel Morales as her advisor. She plans to pursue a PhD.

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Building an Internal Cloud Computing Environment

In building an enterprise private cloud, Intel IT has more efficiently utilized IT infrastructure, increased business agility, lowered costs and positioned ourselves to use public cloud services. This poster shares key learnings based on real world experience emphasizing strategy, architecture and current state of development. Key technical areas are virtualization, security, and cloud service management. We also share our thoughts on challenges we are facing, future directions and trends.

Presenter: Catherine Spence (Intel)
Catherine Spence is an Enterprise Architect in Intel Information Technology. Catherine, a 14 year Intel veteran, is a part of the Intel IT Cloud Computing team with specialization in on-demand services including Cloud Computing, PaaS, SaaS, and client virtualization. She holds degrees in Engineering, Computer Science and Software Engineering from Trinity College and Harvard University.

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Can Remote Touch Support Immediate Affect Conveyance

Previous work in mediated social touch often robs touch of its privileged position in affect conveyance. We posit that the strategic provision of contextualizing channels will liberate touch to assume its role in affect conveyance. Armed with this analysis, our in-lab between-subjects experiment shows that remote touch reinforces the meaning of a symbolic channel reducing sadness significantly and showing a trend to reduce general negative mood and to reinforce joviality.

Presenter: Rongrong Wang (Virginia Tech)
Wang Rongrong is a PhD candidate in Computer Science at Virginia Tech. Her research interests include human computer interaction, computer mediated communication, social computing and computer animation. Before she came to Virginia Tech, she got her Master and Bachelor Degree in Computer Science from China. In her spare time, she enjoys reading history books, running and playing tennis.

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Can RSS Catch Rapists?

If only 2% of the 20,000 ads posted daily in Craigslist’s Adult Services section in summer 2010 were for sex with minors, Craigslist’s profits from slavery topped a million dollars a year. Working with Polaris Project, a national NGO combating trafficking, we designed a tool to count Adult Services posts in American cities. Supported by our work, in fall 2010, the anti-trafficking movement convinced Craigslist to shut-down that section.

Presenter: Jessica Dickinson Goodman (Carnegie Mellon University/HollaBack)
Jessica Dickinson Goodman received the prestigious 5th Year Scholarship at Carnegie Mellon University enabling her to stay for an additional year and complete her minor in opera and certificate in Arabic, in addition to her completed major in Ethics, History, and Public Policy. Through internships with the World Organization for Human Rights USA and the Polaris Project, Jessica learned about the widespread devastation which sex trafficking trafficking causes. Through her work as an activist, in Summer 2011 the Pittsburgh became the first city in the United States to take a comprehensive approach to ending sex trafficking in its massage parlors.

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Career Intentions, Expectations, and Transitions in Computer Science and Engineering

The NSERC Chairs for Women in Science and Engineering conducted nation-wide surveys of undergraduates in engineering and computer science in 2010 and 2011. This work showcases selected results that show discipline and gender differences in educational experiences and perceptions of the workplace. For example, females in computer science were more likely to have concerns about their employability and felt they would face challenges in the workplace due to their gender.

Presenter: Melanie A. Veltman (Women in Science and Engineering – Ontario (CWSE-ON)/University of Guelph)
Since completing her MSc. in Computer Science in 2010, Melanie has been working as a Project Manager for the NSERC/RIM Chair for Women in Science and Engineering – Ontario (CWSE-ON). In addition to participating in research projects and organizing events, Melanie has delivered more than 250 hands-on workshops promoting computer science and technology to more than 6,000 middle and high school students.

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CBIR: A System For Image Analysis and Content-Based Retrieval

With the abundance of digital media available today, indexing and retrieval based upon content, rather than manual annotations, is more practical. A user-facing system is constructed to accomplish this. Queries consist of either text or example images, allowing for user flexibility. A relevance metric is devised from a database of images. It is determined that a combination of the main features is most effective in the return of relevant results.

Presenter: Amanda S. Danko (University at Albany, State University of New York)
Amanda Danko is a doctoral student in Computer Science at the University at Albany in NY. She completed her Masters degree in May 2011 and is currently working toward the PhD. Amanda completed her undergraduate work in Computer Science at Siena College in 2007. Upon graduation she took a position with the NYS Department of Taxation & Finance. Before returning to graduate school Amanda also worked as a software developer at Auto/Mate Dealership Systems. In her second year, Amanda became the primary instructor for ICSI-201 Introduction to Computer Science at UAlbany, for the Fall, Spring, and Summer semesters.


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Censorship, Internet and Public Political Awareness

In this presentation, we plan to present our research about the effect of government censorship on citizen’s online exposure to political contents. More specifically, we examine young Chinese Internet users’ (20-35 years old) attitude towards censorship, motivation to access censored materials, and their actual exposure to political contents, to find out whether political censorship has positive or negative effect on these aspects.

Presenter: Weiyi Sun (University at Albany, State University of New York)
Weiyi Sun is an Informatics Ph.D. student in SUNY Albany, with research interests in social computing, knowledge discovery and management. Prior to her doctoral study, she worked as a web application product manager in an international software company. She completed her undergraduate study in Fudan University with a major in Mathematics, and a second major in Computer Science.

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Chase Display of Social Streams in RAYS

This poster presents the concept of social streams and their instantiation as continuous media streams produced by a smartPhone such as an iPhone. The owner of the device may allow each viewer to perform a chase display of the produced stream with duration ?. We describe a novel memory management technique that produces summary data to maximize utility of data. This technique is parallelizable and ideal for multi-core CPUs.

Presenter: Sumita Barahmand (University of Southern California)
Sumita Barahmand received her B.Sc in Information Technology Engineering from the Sharif University of Technology, the premiere engineering institution in Iran. She is currently a Ph.D. student collaborating with Professor Shahram Ghandeharizadeh in DBLab at USC. Her current research interests include social streaming, sharing of multimedia streams using smart devices and the cloud. These concepts are exercised in a prototype named RAYS (rays.shorturl.com) that was deployed in early 2011. Her current focus is on design and implementation of novel memory management techniques that allow viewers of social streams to perform time-shifted displays on the streams.

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Classifying Twitter Accounts by Political Orientation

Social networking websites are becoming the new platforms for politics. Twitter allows two way communication between voters and politicians, opening up a new, innovative political forum. A feature necessary in qualifying communication over this forum is the political orientation of those participating in it. This study uses machine learning to classify Twitter accounts. The accuracy achieved by the classifiers attests to how informative the social network of Twitter is.

Presenter: Samantha T. Finn (Wellesley College)
Samantha Finn is a senior at Wellesley College, majoring in Computer Science. Her current research centers around analyzing how people discuss politics on Twitter and how the online discussion can influence and predict real world outcomes.

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Cloud Security Using Distribted Cryptography

2010 is considered to be the year of the cloud by some. While the benefits of using computing in the clouds are well known, its adoption is hindered by security concerns. We have proposed a security scheme that follows strong two factor authentication and a robust encryption algorithm based on Distributed Cryptography. The merits of this scheme being the cloud service provider agnostic of the data and full access control in the hands of consumers.

Presenter: Spurthi Chaganti (University of Minnesota, Twin Cities)
I am Spurthi Chaganti, currently pursuing Master of Science in Computer Science from University of Minnesota, Twin cities. I did my undergraduation from BITS-Pilani, India in 2009. My focus is on implementing data mining and machine learning techniques that solve real world problems. I worked as a researcher from past two years and I have worked on distributed caches, replication tools for providing high availability, scalability and performance,secure group communication and complex event processing system. I love vedic mathematics. I am a music buff and love to travel whole world. I adore swami vivekananda’s philosophy.

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Conceptual Integration Modeling Framework: A Case Study

As business becomes more reliant on technology, the quantity of data available grows rapidly, resulting in a new challenge for businesses – finding concise and meaningful results from their data. The goal of the Conceptual Integration Modeling Framework is to give business executives a high-level, conceptual model of the underlying data, allowing them to develop a data warehouse from a top-down approach.

Presenter: Melissa Smith (University of British Columbia)
Melissa Smith is an undergraduate student in Computer Science at the University of British Columbia. She will begin her Master’s degree specializing in Data Management in January to continue work on the Conceptual Integration Modeling Framework. Her research interests include Database Usability, Data Integration and Business Intelligence.

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CONDEX: COpy Number Detection in Exome sequencing

The lower costs of high-throughput sequencing today has resulted in massive amounts of data for analysis. This project introduces an algorithm to identify large scale variants in the genome using exome sequence data. The algorithm uses a Hidden Markov Model with the underlying states of the model representing the number of copies of the region present in the genome. The results of the algorithm identifies such abnormalities in the genome.

Presenter: Arthi Ramachandran (Columbia University)
Arthi Ramachandran is a third year doctoral student at Columbia University, in the Pe’er Lab of Computational Genetics. She graduated from Princeton University with a BSE in Computer Science. She is president of WiCS (Women in Computer Science) and a graduate coordinator for the Emerging Scholar’s Program. Her current research interest is development of methodologies for analysis of high-throughput sequencing data.

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Constructing Street Maps from GPS Traces

The objective of this research is to develop geometric algorithms with quality and performance guarantees for map construction and map updates from geo-referenced trajectory data. We propose two algorithms, the first one uses geometric data model and partial curve matching and compute the road network graph incrementally by adding edges and vertices from input curves. The second one uses region-based model, polygon operations and medial axis computations.

Presenter: Mahmuda Ahmed (University of Texas at San Antonio)
Mahmuda Ahmed is a second year PhD student of Department of Computer Science at The University of Texas at San Antonio. Her research interests include Algorithms, Computational Geometry especially, Geometric Algorithms, Geometric Pattern Analysis, Computational Biology and Data Mining. Currently, she is working on Map Construction from geo-referenced trajectory data under supervision of her adviser, Carola Wenk. She completed her B.S. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) in 2008.

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Correcting Cell Tracking Errors Using Adaptive Re-Segmentation and Coupled Flow

Understanding complex interactions in cellular systems requires accurate tracking of individual cells observed in microscopic image sequences and acquired from multi-day in vitro experiments. However, high accuracy long-range cell tracking is difficult because the collection and segmentation of images is error-prone. This paper introduces a new method that automatically identifies and then corrects tracking errors using a combination of combinatorial registration, flow constraints and image segmentation repair.

Presenter: Nare Hayrapetyan (Utah State University)
I was born and raised in Yerevan, Armenia. Since early childhood I was fascinated by math and read a lot of physics and science fiction books. I graduated from high school when I was sixteen years old and started college in Yerevan to study applied math. However, at the end of my freshman year I got a full scholarship for Utah State University and decided to move to Utah to pursue a computer science degree. I graduated with a Bachelor’s Degree in Computer Science and a minor in Mathematics last December and started working on my Master’s Degree in bioinformatics.

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Creating an Energy-Efficient Smart Home Using Sensors

An energy-efficient smart home can help users in numerous ways: saving energy, reducing bills, and by providing more convenience to home owners in general. Lights are left on unnecessarily throughout the day and even when nobody is home. In this project, we use motion and light sensors to adjust light intensity, as well as safely turn on or off electronic devices in the house based on our existence in the house.

Presenter: Seetha Annamraju (Rutgers, The State University of New Jersey)
Seetha Annamraju is a senior at Rutgers- State University of New Jersey. She is studying Electrical and Computer Engineering, with a focus in Sensor design. As an active member of Women in Computer Science, and Society of Women Engineers, Seetha enjoys doing research, attending conferences, and meeting other women in CS. Seetha plans on pursuing her PhD in Computer Science, and eventually travel around the whole world.

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CSTutor: A Pen-Based Tool for Visualizing Data Structures

CSTutor is a pen-based application that combines drawing, animation, and programming with the goal of providing useful insights into how elementary data structures behave. The UI consists of a sketching area, where the user can draw a data structure, and a code area. The user can edit the source code and add functions which animate the corresponding data structure in real time.

Presenter: Sarah A. Buchanan (University of Central Florida)
Sarah Buchanan is a second year Computer Science PhD student at the University of Central Florida, as well as a research assistant at the Interactive Systems and User Experiences Laboratory. Her focus is on sketch-based interfaces for STEM education, and is currently working on a sketch-based tutoring system for computer science students called CSTutor.

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Deadlock-Free Motion Planning Using the Laplace Potential Field

In present study we introduce a motion planning method which uses an artificial potential field obtained by solving Laplace’s differential equation. A potential field based on Laplace’s equation has no minimal point; therefore, path planning is performed without falling into local minima. According to this aproach, A path between a start and a goal point is constructed by tracking the negated gradient of the potential field.

Presenter: Kayona Yamada (Toyama National College of Technology)
Kayona YAMADA began studying at Toyama National College of Technology, in April 2007 in the department of Electrical Engineering. She is in her fifth year at the college currently. Last year, she began her studies in robotics in the laboratory of Professor Sato and is to graduate in March 2012. In college, she has been learning a lot on electronic circuits and electrical circuits related to computer science, and electrical engineering. In college, she was a vice leader of the brass band for one year. As club activities, the band performs community services like charity concerts at nursing homes.

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Design and Implementation of a Network Traffic Sonification System for Anomaly Detection

To understand computer network state especially to detect abnormal network traffic, computer users have had to be familiar with network protocols and behavior of application programs. Therefore, the author has designed and implemented a network traffic sonification system. This system, allow user to understand network state and detect anomaly traffic intuitively, through the use of the auditory sense. This is achieved by sonifying packets and network flow data, and uses a web browser for audio output.

Presenter: Asuka Nakajima (Keio University)
Asuka Nakajima was born in Osaka, Japan, on October 27, 1990. She is now a student at Keio University. At Keio University, Asuka is belonging to Keiji Takeda laboratory, which studies about computer security. She has been interested in comuter security since she was high school student. Her present research topic is “Design and Implementation of a Network Sonification System for Anomaly Detection”.

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Development of a Browser-Based Virtual Interview System: Enhancing Communication for Interviews and Standardized Tests

This study reports our development of a browser-based interactive visual/audio recording system that incorporates facial recognition. We hope to increase student-speaking practice, and offer opportunities to master interview skills. The browser-based system has improved data transfer rates. Facial recognition speeds up the login process and improves the user experience. We are not trying to replace face-to-face talk, we are helping students enhance communicative ability for their professional & academic futures.

Presenter: Todd Cooper (Toyama National College of Technology)
Todd Cooper is an Associate Professor at Toyama National College of Technology and is a graduate of St. Francis Xavier University and the University of Alberta (1996). He teaches a wide range of communicative and specialized English courses, and has given talks about educational technology at conferences in Canada, Japan, Korea and the UK. His current research involves developing an interactive virtual interview system, and was recently awarded a Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology in Japan.

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Drive My Data – Collecting Research Data with Usable and Secure Interface

HCI research poses security challenges due the need to protect the Personally Identifiable Information of the human subjects. The researcher attempts to collect data without impacting the user experience through techniques like guerrilla-style short bursts of data collection. The researchers need highly usable but secure collection instruments. This study’s data collection interface design combines security and usability to verify an usability study interface can be both usable and secure.

Presenter: Ann-Marie Horcher (Nova Southeastern University)
Ann-Marie Horcher is a PhD student in Information Systems at Nova Southeastern University in Fort Lauderdale, FL. Her research interests include security and usability, wearable computers, gender-based design differences and mobile device security. Currently she teaches Computer Forensics and programming as an adjunct professor at Saginaw Valley State University. Previously she worked for a large global chemical company in information architecture and global infrastructure design. This included the design of intellectual property security models to be used by multiple companies to collaborate on secure projects.

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Emotion Detection from Speech Using AdaBoost Algorithm and SVMs

Emo-DB database was used for training and testing sets. Introduced ADABoost Algorithm for the first time for classifying emotions. Weighted voting of binary-classifiers gave the accuracies : neutral(87.50%), angry(96.36%), sad(99.00%), happy(25.71%). SVM classifiers were trained with 3 best features out of 70 features obtained from ADABoost. The computation cost reduced remarkably from ADABoost with 70 features to SVMs with 3 features with a little tolerance in accuracy levels.

Presenter: Parul Agarwal (Indian Institute of Technology, Kanpur)
Parul Agarwal is a third year undergraduate student studying at Department of Computer Science and Engineering at Indian Institute of Technology (IIT) Kanpur, India. Her career goal is to pursue research in Computer Science.


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Enhancement of Resource Provisioning in Grid Resource Management Systems

For the resource management technique to be efficient and in an understandable form, there is a need to associate resource provisioning with resource management. Resource provisioning allows the users and providers to access the specified resources according to availability of the resources in virtual organizations. In this poster, a resource provisioning framework based on QoS parameters for Grid environment is presented for enhancing resource provisioning in grid resource management systems.

Presenter: Rajni (Thapar University)
Rajni received her Bachelor’s Degree (Mathematics, Computer Application and Economics) from Punjab University, India in 2007, and obtained Master’s Degree in Mathematics and Computing from Thapar University, India in year 2009. At present she is a Ph.D. Candidate in Computer Science & Engineering Department at Thapar University. Her research interests lie in algorithm aspects of resource provisioning and scheduling in distributed computing, Grid Computing.

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Enhancing Security and Privacy in Online Social Networks

Enormous usage growth of Online Social Networks (OSNs) challenges information security and privacy. In our research, we emphasis on enhancing security and privacy features in OSNs by means of cryptographic techniques and decentralization of the OSN architecture. Our attribute-based cryptographic scheme and OSN architecture based on a DHT support fine-grained access control efficiently and prevents unauthorized access to user data both by the users in the OSN and outside attackers.

Presenter: Sonia Jahid (University of Illinois Urbana-Champaign)
Sonia Jahid is a Ph.D. candidate in the Department of Computer Science at University of Illinois at Urbana-Champaign. Her research interests lie in computer security area. She works on access control and security and privacy issues of social networks under the supervision of professor Nikita Borisov. Her recent works include efficient revocation for attribute-based encryption scheme and distributed architecture for social networks with emphasis on security and privacy. She has also worked on attribute-based security for databases and countermeasures for denial of service. She received her bachelors degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology.

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Ergonomic Study of Solid Waste Collection

This research is a comprehensive ergonomics analysis of waste collection tasks at varying levels of collection. The study will utilize ergonomic softwares, laboratory analysis and statistical review of the injuries by the Bureau of Labor Statistics. Biomechanics laboratory analysis were conducted to simulate and analyze waste collectors’ tasks using 3D Static Strength Prediction Program (3DSSPP) program and JACK Software that help to design industrial tasks for optimal safety and productivity.

Presenter: Fatina Gammoh (University of Central Florida)
Fatina T. Gammoh is currently working as a research assistant with Dr. Pamela McCauley Bush in an Ergonomic Study of Solid Waste Collection. She is a graduate student at the University of Central Florida in the Industrial Engineering and Management system department. She had her bachelor degree in Industrial Engineering at the University of Jordan in 2008 and then she worked in the Total Quality Management field for two years at one of the best leading industrial companies in the Middle East. She has two Green Belt certificates in Six Sigma and currently working towards getting project engineering certificate from the University of Central Florida.

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Estimating Temporal Boundaries of Events Using Social Media Data

Social media websites like Twitter, Flickr and YouTube generate a high volume of user generated content as a major event occurs requiring automatic pre-processing before analysis. We describe a technique that estimates the temporal boundaries of anticipated events like sports and hurricanes. When applied to natural disasters and man-made disturbances, the derived data can help organizations involved in mediation efforts to track and analyze evolving events.

Presenter: Akshaya M. Iyengar (University of Maryland, Baltimore County)
Akshaya Iyengar has a masters degree in computer science from the University of Maryland, Baltimore County (UMBC). At UMBC she worked at the eBiquity Research Group on the Relief Social Media project with. In her thesis advised by Dr.Tim Finin, she developed an approach to estimate temporal boundaries for events using social social media data. She received her Bachelor of Engineering in Information Technology from the University of Pune, India in 2008. She has worked at Azingo Inc (now Motorola), ZS Associates and interned at Akamai Technologes. Upon graduation she would be joining Amazon as a Software Development Engineer.

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Expertise Modeling and Matching

A corpus-based expertise modeling framework is proposed, based on keyterm extraction. Keyterms of a researcher’s papers train a Self-Organizing Map (SOM), aiming to capture a higher-level description of research expertise by including the information collected from external resources, such as Wikipedia. SOMs are used also for expertise matching problem. Moreover, time information will be added to the modeling and matching process to be able to capture the temporal changes in the interests.

Presenter: Ozge Yeloglu (Dalhousie University)
Ozge is a PhD candidate at Faculty of Computer Science at Dalhousie University, Halifax, Canada. She received her B.Eng in Computer Engineering from Ege University, Turkey in 2004 and her Master’s in Computer Science from Dalhousie University in 2007. Her research areas are Machine Learning and Text Mining. In particular, her focus is on the applications of Neural Networks to the information management problems. She enjoys spreading the awareness of women in technology by being actively involved in Dalhousie Women in Technology Society and her achievements with this group has been recognized with many awards including Google Anita Borg Scholarship.

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Exploiting Half-Wits: Smarter Storage for Low-Power Devices

This work analyzes the stochastic behavior of writing to embedded flash memory at voltages lower than recommended by a microcontroller’s specifications to reduce energy consumption. Flash memory integrated within a microcontroller typically requires the entire chip to operate on common supply voltage almost double what the CPU portion requires. Our approach tolerates a lower supply voltage so that the CPU may operate in a more energy efficient manner.

Presenter: Mastooreh Salajegheh (University of Massachusetts, Amherst)
Mastooreh Salajegheh is a PhD candidate in the Computer Science Department of the University of Massachusetts Amherst. Her research interest is in different aspects of low-power devices. Specifically, storage and security of resource constraint battery-powered or batteryless devices such as RFIDs, medical devices and sensor motes. Mastooreh is a member of RFID CUSP (Consortium for Security and Privacy) and works under the supervision of Professor Kevin Fu.

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Faster Communication for High Performance Computing (HPC) Clusters

Message Passing Interface (MPI) has been used to develop a large number of applications. In an MPI program, the communication invocation patterns are different for each run, it is hard for one protocol to achieve high performance in all scenarios. The trace analysis can choose the best protocol for each invocation pattern in different communication patterns. In real application benchmarks, our customization improves communication time by up to 219.4%

Presenter: Zheng Gu (Florida State University)
Zheng Gu is a Ph.D. candidate at Computer Science Department in Florida State University. Her primary research interests include high performance computing, communication protocols, and MPI optimizations.

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Finding Story Chain in Newswire Articles

Search engines can assist in retrieving information on the web, however the problem of large volumes of unstructured search results make it hard to keep a clear picture of the evolution of an event. Moreover, it is hard to capture relationships between news events. We propose to enrich the functionality of search engines to allow users to search for correlation between two stories. Then, a coherent story chain will be output as the result.

Presenter: Xianshu Zhu (University of Maryland, Baltimore County)
Xianshu Zhu is currently a PhD candidate in computer science at University of Maryland Baltimore County. Before joining UMBC, she got her Master’s and Bachelor’s degrees from Hunan University, Changsha, China, both in computer science. Her main research interest is in data mining, especially text mining. She has published several papers in various prestigious conferences.

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FML: A Simple Approach at Form Security

Just like “a chain is as strong as its weakest link” our information is as secure as the less secure website we stored it in. The proposed method for create secure forms is simple to learn and can be used even by non-programmers. With this approach we aim to create a more secure web, by increasing the percentage of secure websites and by creating a centralized control system.

Presenter: Valentina De Rosa (Univesity of Rome, Sapienza)
I’m a 22 years old student from Rome. I obtained my Bs in CS at Sapienza University of Rome and from September I will be a CS Master Student at ETHZ. I work as a freelance web developer. I’m very passionate about all the different aspects of CS and I’m still trying to find my way; in the meanwhile I follow my inspiration and study whatever I find useful, interesting or simply amusing. My other interests include traveling, cooking and learning foreign languages. I’m very curious about different cultures and I pride myself on having friends from four different continents.

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Gender-Inclusivity in World of Warcraft: Changing Real-World Perceptions of Women and Technology Through Online Virtual Communities

This poster summarizes the results of a pilot ethnographic study of a female-inclusive community within the game World of Warcraft. Findings suggest that gender-inclusive communities create positive perceptions of women as both users and producers of technology in the game’s virtual spaces, and that activities in virtual community interact with real-life communities in compelling ways. These interactions are potentially significant because of the low representation of women in technology-related careers.

Presenter: Kara A. Behnke (University of Colorado at Boulder)
Kara A. Behnke is a second-year PhD student in the Technology, Media & Society Program at the ATLAS Institute, University of Colorado at Boulder. Her research interests involve the sociological impacts of digital games on identity, cross-cultural computer-mediated communication (CMC) in virtual worlds, and learning theories developed for serious games and human-computer interaction (HCI) frameworks. Her dissertation research investigates the sociocultural contexts of gender and gaming within Asia and the United States. As a teaching assistant in ATLAS, she also explores how game development can be used as an educational tool to promote computer science learning.

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Generating Language Quizzes for ESL Learners Using WordNet

Importance of learning English as a Second Languages (ESL) is increasing more for people who want to work in technology and in a globalized society. We have designed the algorithm that automatically generates quizzes for ESL leaners. In this study we worked on the multiple choice language quizzes, where a learner chooses a correct description in English for the given English word in the given article.

Presenter: Aya Nakahama (Tsuda College)
Aya Nakahama was born in Otaru City, Hokkaido Prefecture, Japan. She received her Bachelor of Mathematics and Computer Science in 2011 from Tsuda College. In her Bachelor, her research was designing the algorithm that automatically generates quizzes for ESL learners. She currently enrolls in Graduate Program in Mathematics and Computer Science, Tsuda College. She engages in the Generating Language Quizzes for ESL learners. She has been a member of the institute of electronics, information and communication engineers.

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GrailGM: Moving Beyond Combat-Reliance in Role-Playing Games

Over time, computer role-playing games have grown in size and combat complexity, but the narrative structures and game mechanics have remained much the same. The GrailGM system was created in response to this limitation. GrailGM is a run-time framework that allows for player-driven dynamic narrative, while retaining the designer’s story goals. GrailGM also supports social actions which allow designers to add interesting gameplay without relying on combat mechanics alone.

Presenter: Anne M. Sullivan (University of California, Santa Cruz)
Anne Sullivan is a PhD candidate at the University of California Santa Cruz in the Expressive Intelligence Studio. Her research focuses on artificial intelligence techniques within quest-driven story games. The motivation for her research is to support player-influenced dynamic narratives as well as moving away from combat-centric mechanics. Her work is both in author-support tools as well as in-game frameworks.

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Hand Gestures

Hand gestures are a rich source of information in communication in communication of spatial concepts. This study aims to develop and evaluate a distance-collaboration tool that allows designers to juxtaposition their hand gestures on top of design drawings which are seen by their distant teammates.The current system is a screen sharing application on a Paint-style platform also displaying motions and positions of hands on the screen in their natural shape.

Presenter: Caroline Cornelius (University of Minnesota, Twin CIties)
Ph.D. 1990, Robotics, Carnegie Mellon University M.S. 1987, Knowledge-Based Systems, Carnegie Mellon University B.S. 1983, Math/Computer Science, Carnegie Mellon University. Projects explore issues ranging from: -Computer decision support systems to assist people in complex tasks such as manufacturing, architectural design, and intelligence analysis; Decision making in natural work settings, Globally distributed design teams and barriers to their effectiveness, Interfaces through which a quadriplegic person can control a wheel-chair mounted robot arm.

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Head Pose Estimation in Monocular Image Using a 3D Face Model

This paper presents a novel technique to estimate the head pose in a monocular image. Initially, facial features are located in the 2D face image using an Active Shape Models. Next we localized the landmarks corresponding to the facial features in the 3D model. The head pose is estimate minimizing the error between the points of 3D model projected to XY plane and the points localized in the face image.

Presenter: Yessenia Yari (Universidade Federal do Rio Grande do Sul)
Yessenia Yari was born in Arequipa, PerĂş. She got her Bachelor degree in Systems Engineering from San Agustin University of Arequipa, Peru in the year of 2008. Currently she is doing her Master degree in Computer Science at the Federal University of Rio Grande do Sul, Brazil. Her areas of interest are image processing and computer vision.

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How Do Women Evaluate the Quality of Health Websites?

This study presents a multi-step process applying focus group research, sorting task and factor analysis to identify metrics women use in evaluating the quality of health websites. Our findings reveal that women use factors of â€Aesthetic-Design’, â€Information-Quality’, â€Information-Architecture’, â€Responsiveness’, â€Trust’, â€Identity’, â€Appropriateness-to-Culture-of-Women’, and â€Information- friendliness’. The study offers guidelines for website designers, online content managers, health behavior change professionals on how to design high quality health websites for women.

Presenter: Samar Swaid (Philander Smith College)
Dr. Samar Swaid is an innovative researcher in the area of human factors in computing systems. Her Main research area is web-based service system of e-commerce and e-health. Her work focuses on usability, information architecture and quality management of web-based service systems. Dr. Swaid’s work was published in highly ranked journals such as Journal of Electronic Commerce Research and International Journal of Management. As well, her work was presented in national and international conferences of International Conference of Information Systems, International Conference on Information Quality, IsOneWolrd, Decision Science Institute and Conference of Association of History, Literature, Science and Technology.

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How Software Developers Solve Problems by Searching for Source Code on the Web: Studies on Result Evaluation and Information Use

Looking for source code on the Web is a common practice among software developers. Through a series of empirical studies we will gain a better understanding of how software developers solve problems by searching for source code on the Web. These results can be used to guide software developers and evaluate tools.

Presenter: Rosalva E. Gallardo-Valencia (University of California, Irvine)
Rosalva Gallardo-Valencia is a PhD Candidate at the Donald Bren School of Information and Computer Sciences at University of California, Irvine under the supervision of Professor Susan Sim. Rosalva conducts empirical studies on software engineering, specifically on source code search on the Web and Agile methodologies. She has six years of experience developing applications for telecommunication and financial organizations. Rosalva holds a B.S. degree in Informatics from the Pontifical Catholic University of Peru.

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ICTD Failure Analysis

ICTD Failure Analysis: Impact and Sustainability. This poster describes efforts to understand why large numbers of Information and Communication Technology for Development (ICTD) projects fail. Forty projects reported in the ICTD literature are carefully examined with respect to impact, appropriateness and sustainability, as well as a number of other factors. The resulting lessons learned are summarized.

Presenter: Leslie Dodson (University of Colorado at Boulder)
Leslie Dodson is earning her PhD in Technology, Media and Society in the ATLAS Institute at the University of Colorado at Boulder, focusing on Information and Communication Technology for Development (ICTD). Prior to pursuing a PhD, Leslie was a TV news reporter covering international development, finance and the environment for CNBC, MSNBC, CNN and NHK-Tokyo. She co-authored a paper with Dr. Revi Sterling entitled “Ethics of Participation: Research or Reporting?” which she presented at the International Development Informatics Association 2010 conference in South Africa. Leslie is on the board of Her Story Media and the National Academy of Television Arts and Sciences, Heartland Chapter.

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Identifying Similar Spam Campaigns Using Natural Language Processing

Spam filters prevent spam from entering mailboxes but do not stop spammers from sending spam emails with malwares, phishing links etc. Our work identifies similar spam campaigns with NLP and text mining techniques. We cluster spam based on attributes like subject, sender, writing styles of emails. Spam clusters have URLs which are used to retrieve hosting IPs and get WHOIS information of the master minds behind such spam campaigns.

Presenter: Soma Halder (University of Alabama at Birmingham)
Soma Halder was born in West Bengal, India on 18th April 1985. She graduated with an undergraduate degree in Computer Science from Kolkata, also known as city of joy .She is doing her master’s degree from the University of Alabama at Birmingham. She has done considerable research in the field of Computer Forensics and Knowledge base and data mining. Het interest includes – information extraction and retrieval, machine learning and computer forensics.

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Image Registration and Visualization of In-Situ Gene Expression Images

Rapid technology development for high-throughput data generation in the fields of molecular and cell biology have caused an explosive growth in the amount of biological data available. Analyzing, interpreting and integrating this data has became a big challenge. Our research has been in developing methodologies for interpreting results visually representing localized gene expression through in-situ hybridization experiments so these images can later be seamlessly integrated with other -omics data.

Presenter: Ernur Saka (University of Louisville)
Ernur Saka received the BS degree in computer engineering from the University of Dokuz Eylul, Turkey. She is currently graduate student and research assistant in the Department of Computer Engineering and Computer Science at the University of Louisville. Her research interests include in-situ gene expression image analysis, high performance computing (HPC) cluster and visualization walls, data visualization, and computer graphics. She also enjoys skiing, tennis, swimming, SCUBA diving and couple dancing.

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IMAGINE: Intelligent Monitoring and Geophysical Inspection of Embankment Dams

Earthen dams are critical components in our nation’s water resource infrastructure, but many are at their intended design life. As dams age, the development of seepage and internal erosion impacts their operation. To improve safety and ensure water availability, we have developed a wireless geophysical platform and accompanying network protocols for continuous dam inspection. Our work enables non-invasive dam inspection, improving subsurface knowledge and decreasing the probability of catastrophic failure.

Presenter: Kerri Stone (Colorado School of Mines)
Kerri is a PhD Candidate in the Mathematical and Computer Sciences Department at The Colorado School of Mines in Golden, CO. Her research interests include embedded systems, wireless sensor networks (WSNs), and machine learning. Currently, Kerri is researching WSN localization and time synchronization algorithms to enable the development of low-cost wireless geophysical monitoring applications. Kerri’s WSN algorithm research is motivated by the need for improved embankment dam monitoring techniques, and her research enables low-cost, continuous, and autonomous geophysical inspection of embankment dams.

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Incorporating Label Dependency for Improving Hierarchical Multi-Label Gene Function Classification

Functional classification of genes is a fundamental problem in functional genomics. We describe our newly proposed algorithm that exploits the hierarchical dependencies among the classes. We also propose HiBLADE, a hierarchical multi-label learning algorithm that takes advantage of not only the pre-established hierarchical taxonomy of the classes, but also effectively exploits the hidden correlation among the classes, thereby improving the quality of the predictions made by a hierarchical multi-label classification algorithm.

Presenter: Noor N. Alaydie (Wayne State University)
Noor Alaydie is a Ph.D. candidate in the Department of Computer Science at Wayne State University. She received her B.Sc. and M.Sc. degrees in Computer Science from the University of Jordan, Jordan. She has served as a Graduate Teaching Assistant and instructor in the Department of Computer Science at Wayne State University since 2007. Her research interests include bioinformatics, data mining, medical informatics and data integration. Currently, she is working on hierarchical multi-label classification for gene function classification under the supervision of her advisers, Farshad Fotouhi and Chandan Reddy. She has published several research papers in refereed conferences, such as: IEEE ICTAI, IEEE IRI, ACM-BCB, CSB and DEXA.

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Information Extraction from Clinical Narratives

We aim to build an information extraction and fusion pipeline leveraging semantic and temporal information found in clinical narratives. We consider a machine learning approach to temporally ordering medical events and integrating structured and unstructured clinical information. The ability to use a semi-automated approach to enrolling patients in clinical studies depends on the availability of a temporally coherent longitudinal health record, which can be generated using the process described in this poster.

Presenter: Preethi Raghavan (Ohio State University)
Preethi Raghavan is a PhD student in Computer Science and Engineering at The Ohio State University. She is co-advised by Dr. Eric Fosler-Lussier and Dr. Albert Lai. Her research interests include temporal reasoning and natural language processing applied to medical data. She received a Masters in Computer Science and Engineering from The Ohio State University in 2009 and a BTech in Computer Science from SNDT University, Mumbai in 2005. She has also worked as a Software Engineer with Infosys Technologies Ltd. (2006-2007) for 2 years and pursued internships with IBM Research Labs (2009) and eBay Research Labs (2011).

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Intrusion Detection System Using Data Mining

Intrusion detection systems attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of legal behavior (anomaly-based IDSs). Majorly, two reasons are identified for incorrect classification of events , causing large number of false alarms. We used initial clustering and then an event classification scheme that is based on Bayesian networks.

Presenter: Spurthi Chaganti (University Of Minnesota, Twin Cities)
I am Spurthi Chaganti, currently pursuing Master of Science in Computer Science from University of Minnesota, Twin cities. I did my undergraduation from BITS-Pilani, India in 2009. My focus is on implementing data mining and machine learning techniques that solve real world problems. I worked as a researcher from past two years and I have worked on distributed caches, replication tools for providing high availability, scalability and performance,secure group communication and complex event processing system. I love vedic mathematics. I am a music buff and love to travel whole world. I adore swami vivekananda’s philosophy.

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Is Browsing Internet on Your Mobile Phone Secure? An Evaluation of Display Security in Mobile and Traditional Web Browsers

Smaller screen size and optimized features for constrained hardware make the web experience on mobile browsers significantly different. We present the first comprehensive study of display-related security issues in mobile browsers. Our analysis comprises of eight mobile and five desktop browsers including Android and iPhone Safari. We conclude that mobile browsers create new security challenges and are not simply miniature versions of their desktop counterparts.

Presenter: Chaitrali Amrutkar (Georgia Institute of Technology)
Chaitrali Amrutkar is a PhD candidate in Computer Science at Georgia Institute of Technology. Her research focuses on cellular/mobile security and web browser security. Her honors include the Google Anita Borg scholarship (finalist 2009), best IMS application prize at the â€Innovative Convergence Applications’ competition at Georgia-Tech and 1st prize in â€emerging rural technology’ category at Asia’s largest technical festival Techfest’06 at IIT Bombay, India. Her industry experience includes internships at AT&T research, IBM, Motorola and Qualcomm. She is the co-chair of women in computing organization at Georgia-Tech, where she endeavors to provide mentoring and networking opportunities to members.

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Java Gone Green: Adaptable Teaching Materials for Programming Fundamentals Using Video Game Creation and Greenfoot

In order to increase participation in Computer Science, we introduce computing through gaming. By learning through game development, students can enjoy hands on experiences in fun applications of computing. We will present adaptable teaching materials developed using Greenfoot. We created modular lessons centered around specific computing concepts and content questionnaires to rate the effectiveness of the materials. These lessons can be used independently or as a week long program.

Presenter: Valerie Juarez (Lamar University)
Valerie is a senior Computer Science major at Lamar University. Since 2007, she has worked with professors Dr. Doerschuk and Dr. Liu in the NSF funded INSPIRED program researching, mentoring and participating in outreach to local students. She was president of Lamar’s Student Chapter of the Association for Computing Machinery from 2009 – 2011. In summer 2010 she interned for Cisco Systems in San Jose, California. For the past year, she has been working with with Daniel Vincent and Kathlyn Doss on a Collaborative Research Experience for Undergraduates developing teaching materials for beginning programming concepts using Java and Greenfoot.

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Key Press Detection Based on Accelerometer Information

In our modern world cell phones are a necessary commodity and with our accelerated life style the more we can do with our phones the better. With the security threats we face every day this project is focused in finding if the permissions on androids were sufficient or if we were unintentionally providing more information than we thought to anyone that might request it.

Presenter: Beatrice Perez (University of Puerto Rico at MayagĂĽez)
Beatrice Perez is a senior at the University of Puerto Rico – Mayagüez (UPRM) currently working on her BS in Computer Engineering. She is involved in undergraduate research. She has worked in the Research Experience for Undergraduates (REU) at Harvard University, the TRUST REU at Carnegie Mellon University, and currently works with the Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (CenSSIS) at UPRM. Beatrice is a member of the SWE, the ACM, and FemProf, a professional initiative for women in computing. Her goal is to attend graduate school and work in academia.

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Keywords Graph and Association Rule Mining

We address the problem of being able to come up with a technique for association rule mining related to a given database of research papers from various topics. We analyse the possibility of using a graph of keywords to mine the association rules from frequent patterns. In this attempt, we find the occurence of bridge keywords – keywords which are a link to two different research areas.

Presenter: Arzoo Katiyar (Indian Institute of Technology, Kanpur)
Arzoo Katiyar is a senior undergraduate student in the Department of Computer Science and Engineering at Indian Institute of Technology Kanpur. Her research interests lie mainly in Data Mining, Data Structures and Algorithms.

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Knowing Is Not Doing: Elderly People’s Health Information Search Habits in Japan

The authors performed a questionnaire to identify Japanese elderlies’ awareness of health-related online information and an experiment to monitor their actual behavior. Two trends are indicated: 1) the criteria for choosing favorites differ from trustworthiness criteria, and 2) participants tend to ignore or misunderstand the information provider. There is a dissociation between the elderly information seekers’ awareness and actual behavior about health-related online information search.

Presenter: Shoko Miyagawa (Keio University)
Shoko Miyagawa is currently an associate professor of the Faculty of Nursing and Medical Care, Keio University. She received her B.A. in Economics and Master of Business Administration and Accounting from Hitotsubashi University. She completed her Ph.D in Media and Governance from Keio University in 2002. Her field of expertise is health informatics. She has also participated in the work-life balance and female researchers support program since 2008 in Keio University.

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Lean Hospital Principles

Research focused on analyzing the OR turnaround time at the Lewis-Gale Medical Center. Identifying improvements to address the most significant problems relating to waste and non-value adding activities, and providing other recommendations. The Research group used Lean hospital principals to identify bottlenecks, training problems, inconsistencies and ambiguous tasks. Using turnaround time data and our own observations the team was about to present a number of proposed solutions presented in our findings.

Presenter: Sarah Dotson (Virginia Tech)
Sarah Dotson is currently attending Virginia Tech and plans to graduate with a Computer Science degree in the Fall of 2012. She is focusing on Human and Computer Interaction and enjoys making products more cognitive for the end-user. Sarah’s interest in Human Factors and Systems Engineering exposed her to research opportunities and projects with the Industrial and Systems Engineering department at Virginia Tech. Through her research, she has learned a lot about researching the end-user, creating solutions, and presenting changes to management.

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Learning Rational Bayesian Strategies in Multiagent Environments

Evolutionary algorithms effectively generate solutions to artificial life problems. Yet, insights into this evolving process have not been analyzed nor why certain characteristics are more dominant. Our research provides a systematic and causal explanation for why certain genes are superior, in a multiagent environment, ALGAE. Furthermore, we focus on developing a rational decision-making component for each agent rather than mere random exploration, based on known constraints in the environment.

Presenter: Lisa Jing Yan (York University)
Lisa Jing Yan is a Ph.D candidate in the Computer Science & Engineering Department at York University in Toronto, under Dr. Nick Cercone’s supervision. Her broad research interests include artificial intelligence, evolutionary computing, game theory, vision, and health care. Her major Ph.D research focus is multi-agent learning, which bridges AI with game theory and evolutionary computing. Her goal is to address how a single agent can autonomously perform in a multiagent environment with unforeseen factors. Lisa Yan graduated cum laude with her Bachelor of Computer Engineering (B.Eng.) degree in 2003 and M.Eng. in 2007, from Beijing University of Technology.

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Lighthouse: A Tool for the Automated Construction of Matrix Algebra Software

We introduce the Lighthouse framework for assisting scientists and engineers with the effective implementation of linear algebra computations in high-performance applications. At a high level, Lighthouse guides practitioners from algorithmic description to high-performance software. Lighthouse unifies a taxonomy database of numerical routines, a user interface, and tools for code generation and tuning. The interface is designed for users across a spectrum of discipline, career level, and programming experience.

Presenter: Sa-Lin Bernstein (Argonne National Laboratory)
Sa-Lin Cheng Bernstein, a condensed-matter physicist by training, received her Ph.D. from the University of Kentucky in 2001. Her research focused on theoretical studies of the effect of artificial defects on vortices in low Tc superconductors. Upon graduation, she joined the Physics Department at the University of Michigan as a lecturer and research fellow. She studied the similarities between different spatially extended systems characterizing the onset of motion and avalanche dynamics. With her science background and computational experience, in 2011 Bernstein joined the Lighthouse project at Argonne National Laboratory, working to bridge the numerical software and science/engineering communities.

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MAGS: McKelvey Automated Grading Scheme

MAGS is software created for computer science classes written in ChezScheme, specializing in the organization and evaluation of assignments. It is valuable for Scheme programming courses, useful for instructors, and extensible by design. MAGS is unique by providing a language that easily allows instructors to implement their own equality tests, automatic formatters and report generators to grade effectively and seamlessly from assignment creation to code evaluation.

Presenter: Karissa McKelvey (Indiana University)
Currently an Undergraduate Student studying Computer Science and Political Science at Indiana University, graduating in May, 2012. Won 2nd place for her autograder at the Undergraduate Research Opportunities in Computing competition in May, 2011 at Indiana University. Worked as a Software Development Engineer Intern at Microsoft in the summer of 2011. Grew up in Santa Rosa, California and enjoys playing trumpet and guitar in her spare time.

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Making Babies: Representations of Childbirth in Commercial Video Games

Where do babies come from? The answer is complicated. In some video games, they emerge from the nipples of a demon-woman, appear in a crib after sex, or fall from the sky. In our attempts to catalog childbirth scenes in video games, we have come across interesting, compelling, and shocking descriptions of childbirth in games. We raise awareness of the gendered misconceptions brought forward by childbirth scenes in video games.

Presenter: Alexandra Holloway (University of California, Santa Cruz)
Alexandra Holloway is a Ph.D. candidate in computer engineering at the University of California, Santa Cruz and the mother of Leon (2009). Her games for health, including The Prepared Partner and her upcoming simulation called Digital Birth, attempt to teach and prepare birth partners for childbirth. Alexandra is a member of IEEE, ACM, and Systers.


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Mapping Big-Step Modeling Languages to SMV

With the popularity of model-driven methodologies, many different modeling languages have been introduced. One of the major challenges arises in verifying different properties of models designed using different languages. We propose an algorithm for creating a fully automated, semantics-based translator from big-step modeling languages to the input language of the model checker SMV. The translator takes a specification and a set of semantic options, and produces the equivalent SMV model.

Presenter: Fathiyeh Faghih (University of Waterloo)
Fathiyeh Faghih received her B.Sc. degree in 2007 and her M.Sc. degree in 2009 from Sharif University of Technology (both under the supervision of Prof. Rasool Jalili). She was recognized as a talented student in her B.Sc. and offered to study in M.Sc. without entrance exam (awarded to only 6 students). She is currently working toward the Ph.D. degree in the Department of Computer Science, University of Waterloo, Waterloo, ON, Canada (under the supervision of Prof. Nancy Day). Her research interests include formal methods, model transformation, automated reasoning, and semantics of modelling notations.

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Meaningful Rating Interpretations in Social Content Sites

Collaborative rating sites drive purchasing decisions today. Users either spend a lot of time examining reviews or simply trust rating aggregations to decide whether an item is desirable. We argue that neither option is satisfactory and propose a third option, Meaningful Ratings Interpretation that explains ratings by leveraging item-reviewer metadata, to help users make informed decision with minimal effort. We formalize the problem and design algorithms to solve it efficiently.

Presenter: Mahashweta Das (University of Texas at Arlington)
Mahashweta Das is a 2nd year PhD student under the supervision of Dr. Gautam Das in the Computer Science and Engineering Department, University of Texas at Arlington. She completed her under-graduation in Computer Science and Engineering from Jadavpur University, India in 2007 and joined the Ohio State University to pursue her Masters degree. While her MS thesis focused on spatial and temporal mining, her PhD research concerns databases, data mining, machine learning and algorithms. She visited IBM India Research Lab in summer 2009 as a student intern. Currently, she is interning in the Recommendation Group at Technicolor Research Lab, California.

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Mind-Body Kinection: Utilizing the Kinect Platform for Broad Development

Mind-Body Kinection presents both a general platform and a specific application for the Microsoft Kinect. The designed platform allows average Kinect users to create programs for their device without particular knowledge of computer programming. This capacity mends a significant gap between programmers and those without coding knowledge. Additionally, the platform’s capabilities are demonstrated by the beta version of an interactive therapeutic game inspired by existing music therapy for autistic individuals.

Presenter: Emily LeBlanc (Temple University)
Emily Cooper LeBlanc is a Computer Science undergraduate student at Temple University. She is an officer of the school’s chapter of the Association for Computing Machinery(ACM) and is involved in representation of the organization to new CIS students. Emily is a tutor for the Math and Science Resource Center(MSRC) in CIS subjects such as Program Design, Data Structures, and Discrete Mathematics. After achieving her Bachelor’s Degree from Temple, Emily plans to pursue graduate study for Computer Science. She aspires to combine her interests in computer science, art, music, and electronics to develop new and creative ways to interact with information.

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Mobile Device Application of Cognitive Behavioral Therapy Techniques

This study explores the design and implementation of a mobile anxiety management application. The application is unique in that it supplies the patient with just in time access to the therapeutic techniques necessary to manage their condition. The primary goal of this study is to prove that the mobile device may augment or supplant information delivered through traditional talk therapy methods, improving quality of life for those suffering from anxiety.

Presenter: Halimat I. Alabi (University of Victoria)
Halimat is currently pursuing her PhD in Computer Science at the University of Victoria in British Columbia. In her former life as a video game producer Halimat worked on PSP, PS2, PS3 and Wii games. Her research is informed by the experiences she had working on console games. Applicable in multiple fields, Halimat’s research interests include personal informatics, visualization, inclusive interface design and serious game design. Her non-academic interests include disability advocacy and the design of interactive experiences. She hopes to create accessible spaces in all realms digital and real.

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Modeling Solid Tumor Growth Using Cellular Automata and Lattice Boltzmann Methods

Models of cancer growth can be used to predict prognosis, treatment options, and likelihood of metastasis. Many current models focus on the biological cell but do not accurately model oxygen in the blood around the tumor. Availability of oxygen can be a key factor in metastasis. This model uses Lattice Boltzmann Methods to accurately model fluid dynamics and show the impact of oxygen distribution on tumor growth and metastasis.

Presenter: Jenna L. Butler (Univeristy of Western Ontario)
Jenna Butler is current working towards a PhD in Computer Science, in the area of Bioinformatics, at the University of Western Ontario (UWO). Her work focuses primarily on cancer, including modelling of cancer growth and the analysis of large genetic information. Currently she is working to develop a new algorithm for data mining microarray data. She also works as a Limited Duties Lecturer at UWO, teaching first year introductory computer science. She is married to a wonderful husband and in her free time she enjoys playing soccer, quilting and being active in her church and spiritual life.

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Modeling the Dermoscopic Structure Pigment Network Using a Clinically Inspired Feature Set

We present a method to detect and classify the dermoscopic structure pigment network which may indicate early melanoma in skin lesions. We locate the network as darker areas constituting a mesh, and lighter areas representing the `holes’ which the mesh surrounds. After identifying the lines and holes, 69 features inspired by the clinical definition are derived and used to classify the network into one of two classes: Typical or Atypical.

Presenter: Maryam Sadeghi (Simon Fraser University)
Maryam Sadeghi received her BSc in Computer Engineering from Iran University of Science and Technology in 2006. She is currently pursuing a PhD in Computing Science at Simon Fraser University in the Medical Image Analysis lab working closely with the Cancer Control Research Program, BC Cancer Agency and UBC Dermatology Department. Her research focuses on computer vision and analysis of dermoscopic images, computer-aided diagnosis and prevention of skin cancer.

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Mystery Bug Theater

Mystery Bug Theater is an ongoing project. We collect information from our tutor lab to identify the most common bugs that students of our CS program seek help. This allows us to classify bugs and to better understand the bugs that students encounter. We use this information to create movies, games, and posters, as well as, a repository of code with real bugs which will be used to help students.

Presenter: Keri Laughter (Utah State University)
Keri started out as a student of psychology at the College of Southern Nevada (CSN). She earned an AA in psychology, but in the meantime decided that she preferred working with technology. She returned to CSN to pursue a degree in information technologies. The best advice she received at that time was to go to a university and get a degree in computer science. She spent one year at UNLV before moving to Logan Utah and transferring to Utah State University (USU) where she is currently working on completing a degree in software development.

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Online Games as an Experimentation Tool

We use online games as an experimentation tool, to enhance overall gaming experience. We can determine which game aesthetics tend to contribute to game effectiveness and player retention. Experimentation also allows us to collect data that, on analysis, locates weak spots in the game and common gameplay trends. In educational games, experimentation lets us introduce concepts in variable order, and identify which version best reduces mistakes and optimizes player achievements.

Presenter: Mai Dang (University of Washington)
Mai Dang is a fourth-year undergraduate at the University of Washington, studying computer science. Currently she is working in games research at UW CSE’s Center for Games Science, led by Zoran Popovic. Last spring she completed a senior capstone on game design, and this autumn will start the year-long animation capstone.

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Ontology Discovery in Collaborative Tagging Systems and Text Data

An ontology is a specification of terms and relationships of a domain of interest that are shared by a group of people. Building an ontology from un-structured or semi-structured text can bridge the gap between human-readable data and machine-readable knowledge. It benefits the navigation and discovery of information, and can be used as a knowledge base. We use a novel pattern-based algorithm to extract ontology from domain-specific text.

Presenter: Tianyu Li (University of British Columbia)
Tianyu Li was born in Hubei, China. She came to North America right after she finished her bachelor degree in software engineering in Zhejiang University. Now she is a second-year master student in University of British Columbia in Vancouver, Canada. Affiliated with data managment and mining lab, her thesis project falls in between information extraction and natural language processing, which is ontology extraction from semi-structured text such as collaborative tagging system and unstructured text such as engineering documents. She attended Grace Hopper in 2010 as a hopper, this time she looks forward to presenting her work in this amazing event.

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Partographs and Digital Pens: Assisting Rural Birth-Attendants with Labor Monitoring

Women face many risks during pregnancy, especially in developing countries. Labor complications that result in hemorrhage, still-birth, infection, and death can often be prevented. My research uses digital pens to enhance the partograph, a labor monitoring tool, in rural health centers. Using digital pens with the partograph keeps current paper-based systems intact, provides audio-based training reinforcement, incorporates real-time error checking, eliminates transcription, and assists birth-attendants in recognizing abnormal labor.

Presenter: Heather Marie Underwood (University of Colorado at Boulder)
Originally from Seattle, I moved to Boulder, CO to start my PhD program in Information and Communication Technologies for Development (ICTD) in August 2010. After receiving a Bachelor’s degree in Computer Science from the University of Washington in 2009, I wanted to use my technology skills on a global scale to help those in need. The interdisciplinary ATLAS program at CU Boulder has allowed me to combine my interests in health care, computer science, and global development to create a truly unique degree that I hope will have a positive impact on communities worldwide.

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Patients Are Not the Enemy: Qualitative Inquiry into Security & Healthcare

Part of the job of healthcare providers is to manage client information. Most is routine, but some is sensitive. For these reasons physicians’ offices provide a rich environment for understanding complex, sensitive information management issues as they pertain to privacy and security. We present findings from interviews and observations of 15 offices in rural-serving southwest Virginia. Our work demonstrates how the current socio-technical system fails to meet the security needs of the patient.

Presenter: Laurian Vega (Next Century Corporation)
Dr. Laurian Vega received her degree in Computer Science from Virginia Tech in the Spring of 2011. Her research explores security & privacy in socio-technical systems. She now works as a Human Factors Engineer for Next Century. She has had internships with Xerox PARC and IBM.

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Poverty Mapping

The Poverty Mapping problem is essentially one of utilising large scale census data (where income is missing) and small-scale survey data in order to estimate income-poverty levels on a detailed level like municipalities. This is termed as “Small Area Estimation” problem in statistics. We thrive to use advanced Machine Learning techniques to target the problem. The motivation lies in the existing lack of this direction in literature and strength and potential benefits of such an approach.

Presenter: Sameena Shah (Indian Institute of Technology, Delhi)
Sameena works in the area of Swarm Intelligence, Machine Learning.

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Power-Efficient Scalable Video Multicast in LTE Wireless Networks

Power and spectral efficiency in cellular wireless systems directly translates to higher performance, better user coverage and higher number of users in a cell. Although significantly improved compared to earlier systems, complexity of Long Term Evolution (LTE) networks complicates ensuring power efficiency in such systems. We provide a method for power-efficient scalable video multicast in LTE-based wireless networks. The presented method ensures preserving user-perceived video quality while reducing power consumption.

Presenter: Ouldooz Baghban Karimi (Simon Fraser University)
Ouldooz Baghban Karimi received her BSc degree from University of Tehran, Iran, and her MSc from IUST, Tehran, Iran, both in Computer Engineering. She is a PhD student in Simon Fraser University, Burnaby, BC, Canada. Her research interests include multimedia transmission over wireless mesh networks, LTE-based cellular wireless networks, and convex optimization. In addition to her research, she enjoys programming for exciting projects, extending her problem solving skills, and volunteering for the computing science community in her spare time. She is the current president of Women in Computing Science, and Computing Science Graduate Student Society in Simon Fraser University.

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Problem Based Learning for Female Engineering Students -Development of an iPod App for Children with Special Needs-

The career education project for female students is part of Toyama National College of Technology’s education programs. The aim is to nurture women engineers in the areas of innovation, globalization, collaboration and diversity through various practices. For those purposes we designed a Problem Based Learning project centered around developing a support tool for special needs children. The project gave the students much valuable real-life engineering experience for their future careers.

Presenter: Chisato Ohashi (Toyama National College of Technology)
Ms. Chisato Ohashi received a Master of Physical Education from Fukuoka University (2001) and currently is a Lecturer in the Department of Liberal Arts and Sciences at Toyama National College of Technology in Japan. She teaches Physical Education and Health Science at college. Currently, she is working with students to develop a physical activity support tool for mentally challenged children. She was recently awarded a Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology in Japan to carry out this research.

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Proposal of New Ecological Material for Semiconductor

Most plastics are synthesized by polymerization of monomers derived from crude oil and used in various fields such as cars, home appliances, clothing, and so on. Therefore, a large quantity of plastic is consumed for the production of PCs. If the plastics are produced by using biomaterials instead of the synthesized polymers, the consumption amount of crude oil and emission of carbon dioxide is expected to decrease.

Presenter: Chikako Kawahara (Toyama National College of Technology)
Chikako Kawahara began studying at Toyama National College of Technology in 2007. Currently, she is a fifth year working on her research on chemically modified natural rubber as the theme for her graduate thesis. After graduating Toyama National College of Technology next year in 2012, she wants to go on with her studies in a university in the field of environmentally friendly chemical modification of national rubber.

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Reconnect: Exploring How Online Reminiscing Rekindles the Fire Keepers

The desire and practice of reminiscing can be traced back to early civilizations where the elders of the community would serve as the â€fire keepers’ and were responsible to know and share the history of their community. This poster describes a research plan and some initial findings on the motivations and practices of reminiscence by older adults and how these findings will be used to develop an online reminiscing system.

Presenter: Elizabeth Thiry (The Pennsylvania State University)
I am a PhD candidate in the College of Information Sciences and Technology at The Pennsylvania State University, an interdisciplinary school for the digital age. My main research interest focuses on online reminiscing for the elderly; specifically creating an online reminiscing system that serves as a life review tool. Additionally, I have been involved in two other research projects: wConnect, an online community of women that promotes women in information technology; and EVOSTA, Examining Virtual Organizations through Socio-Technical Analysis. In my spare time I play roller derby, run, and do whatever else happens to be going on.

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Reports from an Iterative Design and Development Approach to Building a Serious MMOG for STEM Education

This work discusses the iterative design and development process of building a serious Massive Multiplayer Online Game, Lunar Quest, which effectively teaches Science Technology Engineering Math (STEM) topics through creative experiences such as content authoring.

Presenter: Juliet Norton (University of Central Florida)
Juliet is a doctoral student in Computer Science at the University of Central Florida. She is a Graduate Research Assistant in the Interactive Systems and User Experiences Lab for the NSF funded project “Major: Enhancing Creativity and Authoring in STEM Education-Based Virtual Worlds through Concept-Oriented Design.” She is interested in youth experience with technology and how it affects human development.

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Retaining Young Women in Computer Science? You Can Make an App for That!

Iridescent’s Technovation Challenge is a program for high school girls, who are supported by female mentors, to learn the basics of programming and entrepreneurship by prototyping a mobile phone app using App Inventor for Android, writing a business plan, and “pitching” their plan to a panel of venture capitalists. The program has expanded to six sites nationally. We will share our program model, lessons learned and best practices.

Presenter: Jeri Countryman (Iridescent)
Jeri Countryman is the Technovation Challenge Director of Programs at Iridescent. She brings ten years of expertise in project management, development of technology curriculum, trainings, and resources, implementation and scale up of science, engineering and technology programs for girls. Ms. Countryman has exceptional partnership development experience with organizations involved in outreach and has extensive experience working with mentors and role models. She has a Master’s degree in interdisciplinary computer science from Mills College and a Master’s degree in science education from the University of California, Santa Cruz.

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Seamless Wireless Connectivity in High Speed Vehicles

High speed trains introduced new mobility patterns in wireless environments. Current wireless systems experience service degradation due to changing user conditions on high speeds. We propose a novel structure to provide seamless connectivity for high speed vehicle users in LTE wireless networks. Our solution is based on a cell array that organizes the cells along a railway, together with a femto cell service that aggregates traffic demands within individual cabins.

Presenter: Ouldooz Baghban Karimi (Simon Fraser University)
Ouldooz Baghban Karimi received her BSc degree from University of Tehran, Iran, and her MSc from IUST, Tehran, Iran, both in Computer Engineering. She is a PhD student in Simon Fraser University, Burnaby, BC, Canada. Her research interests include multimedia transmission over wireless mesh networks, LTE-based cellular wireless networks, and convex optimization. In addition to her research, she enjoys programming for exciting projects, extending her problem solving skills, and volunteering for the computing science community in her spare time. She is the current president of Women in Computing Science, and Computing Science Graduate Student Society in Simon Fraser University.

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Senior Prom: Developing Dance Video Games for Older Adults

We conducted a user study to determine if dance video games targeted at senior citizens would be well received as a fun means of promoting exercise and what qualities would make it successful. Our participants, all over the age of sixty, responded positively to dance video games and wanted what all gamers want: games that are easy to learn and hard to master.

Presenter: Sarah Ferraro (Harvey Mudd College)
Sarah Ferraro is a senior Computer Science major at Harvey Mudd College. For 2 years she has researched exercise video games for senior citizens, and won Honorable Mention in the Computer Research Association’s 2011 Undergraduate Research Award for her work in this area. She is a Presidential Scholar, dean’s list student, and a member of the Sigma Xi Scientific Honor Society. Sarah has also been active in FIRST Robotics since 2006, both as a high school participant and as a mentor to FRC team 3473.

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Sign Language Interpreter

We are trying to design an embedded device which could recognise sign language used by speech handicapped people and generate corresponding audio output for recognised signs. Motivation for this work lies in our aspiration to build technology for the benefit of society. Such a device could make the speech handicapped more self-dependent and could help them communicate well with the society.

Presenter: Parul Agarwal (Indian Institute of Technology, Kanpur)
Parul Agarwal is a third year undergraduate student studying at Department of Computer Science and Engineering at Indian Institute of Technology (IIT) Kanpur, India. Her career goal is to pursue research in Computer Science.


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Signal Representation Using PDAs for Bio-Acoustics Environmental Surveillance Monitoring Applications

This work presents a signal representation environment for personal digital assistant (PDA) units for bio-acoustics surveillance monitoring applications. The signal representation modality is of the multidimensional nature, with PDA units being able to display image and video information associated with signals acquired from the vocalizations of animals in the environment. The signal representation application being utilized is SIRLAB, a computational modeling framework built for time-frequency signal analysis.

Presenter: Nataira Pagán (University of Puerto Rico at Mayagüez)
My name is Nataira Pagán Pagán. I am an undergraduate student at the University of Puerto Rico at Mayagüez (UPRM). In Spring 2010, during my second semester of my first year as a college student, I decided to join a research group working on computational methods for digital signal processing. I believe that as a woman and as a student, I have the sensibility to deal with people and share my knowledge. I am a person who so far has been successful learning and communicating concepts and ideas. One of my main goals is to be a quality professional.




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Smart Cam

Despite of advancement in digital technology, capturing a perfect picture by a novice is still far from reality. A thought to bridge this gap raises many questions – what if the camera could alert the subject in case her eyes are closed? What if the camera could detect regions of glare in the image and direct the user to recapture? We apply image processing techniques to answer some of these questions.

Presenter: Arzoo Katiyar (Indian Institute of Technology, Kanpur)
Arzoo Katiyar is a senior undergraduate student in the Department of Computer Science and Engineering at Indian Institute of Technology Kanpur. Her research interests lie mainly in Data Mining, Data Structures and Algorithms.

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Smart Grid Security Resources: A Community Information Repository

The Smart Grid evolution of the national electric power grid offers increases in efficiency, reliability, and security. Integration of modern computing technologies into legacy systems and antiquated infrastructure design introduces new security vulnerabilities. Security efforts from government, industry, and academia are currently producing valuable resources. Management and distribution of publicly available Smart Grid security resources through a community information repository provides a channel of communication supporting security initiatives.

Presenter: Summer M. Olmstead (Tennessee Tech University)
Summer M. Olmstead is a master of computer science student at Tennessee Tech University located in Cookeville, Tennessee.





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Social Network-Based Knowledge Sharing Collaborative Intrusion Detection Networks: Fairness, Incentives and Security

This paper addresses how to use collected human intelligence and knowledge to detect cyber attacks. Users of Intrusion detection systems (IDSs) can contribute intrusion detection rules and share with their friends through a social network. We propose a knowledge propagation mechanism which enables each node to automatically disseminate their intrusion detection knowledge to a selected list of neighbors who share similar interests. We demonstrate that the system satisfies several important properties for collaboration networks.

Presenter: Carol Fung (University of Waterloo)
Carol Fung is a PhD student in University of Waterloo (Canada). She received her BSc and Msc from University of Manitoba, Canada. Her research topic is collaborative Intrusion Detection networks, which includes trust management, collaborative decision, resource management, and incentive design of such a system. She is also interested in the security problems in wireless networks and social networks.

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Speed Mentoring Sessions – An Alternative to Traditional Mentor Matching

Speed mentoring is a proven, effective alternative to traditional mentor matching programs. Based on a similar concept to speed dating, mentees meet and talk to several mentors in a short session. Speed mentoring sessions can be set up between upperclassman and lower classman, undergraduates and graduate students, students and professors, students and industry, and different experience levels in industry. Learn effective ways to arrange sessions for groups of any size.

Presenter: Allison Goodman (Intel)
Allison currently works for Intel’s Non-volatile memory Solutions Group as a Solid State Drive (SSD) Senior Systems Integration Engineer, focusing on bringing enterprise and client solid state drives from concept to product. Prior to this postition, she has worked in various Intel divisions focused on system validation of SSDs and laptops, as a product manager, and chipset validation engineer. Allison has a passion for connecting people and advocating for others. She chairs a women’s group inside of Intel and is actively involved in the Society of Women Engineers as the a Region Governor. She also blogs at engineeringgal.com

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StopFinder: Improving the Experience of Blind Public Transit Riders with Crowdsourcing

People with severe visual impairments rely on the public transit system to accomplish their daily activities, but it is difficult for them to find the exact location of the bus stops. We are developing a system that uses crowdsourcing of landmarks such as shelter, garbage cans, etc to provide reliable and accurate information about bus stops for blind transit riders and how access to this information affects their behavior.

Presenter: Sanjana Prasain (University of Washington, Seattle)
Sanjana Prasain is a senior of Computer Science at University of Washington, Seattle. She is from Kathmandu, Nepal. Her research interest is in Human Computer Interaction with a focus on an accessibility and designing for human values. Her previous research project includes developing a system on android platform that provides functionality like real time bus arrival information, nearest address, nearest location etc to blind, low-vision, and deaf-blind users that could be accessed in the Braille sense. She is currently working on improving the public transit experience for the blind people by crowdsourcing landmarks using iPhones.

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Support Systems for Sustained Action Using the Anonymous Lifelogs

It’s not always easy to continue certain activities, such as dieting. This project aims to construct a system for users to support each others persistent efforts by using activity histories of each user. The activity histories are collected automatically by mobile devices and sensors. The anonymity of activity histories is protected. We propose a network in which detailed activity histories can be anonymously shared in order to foster community support.

Presenter: Ami Otsuka (Tsuda College)
Ami Otsuka received her Bachelor of Mathematics and Computer Science in 2010 from Tsuda College, currently enrolls in Graduate Program in Mathematics and Computer Science, Tsuda College. She engages in the research of Computer Networks and Human Computer Interaction.



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TAMER: Touch-Guided Anxiety Management via Engagement with a Robotic Pet

Learning emotional self-regulation is an accepted element of anxiety management techniques such as Cognitive Behavioral Therapy. Practicing self-regulation training activities, however, requires a level of cognitive development that is less accessible for younger children. Building upon children’s abilities and needs, TAMER approaches self-regulation accessibility through engagement in an affective interaction with an expressive animal-like robot, the Haptic Creature, which responses to anxiety state assessed based on biometric measures and patterns of touch.

Presenter: Yasaman Sadat Sefidgar (University of British Columbia)
Yasaman S. Sefidgar did her undergrad in Computer Engineering at Sharif University of Technology, Iran, 2009. She then moved to the University of British Columbia to pursue her M.Sc. in Human Computer Interaction under the supervision of professor Karon MacLean where she is the lead student in the TAMER project.



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The Analysis of the Effects of GHG Public Policy on Stochastic Variables Using Latent Semantic Analysis

Determining the effects greenhouse gas public policies on stochastic variables is difficult due to influences of existing policies and external influences such as policy enforcement, economics and other factors. It may not seem feasible to examine the thousands of policies at the federal, state and local levels to do determine their influence on reducing carbon emissions but that is exactly what is suggested through the use of Latent Semantic Analysis.

Presenter: Jenna Marie Dulak (Rochester Institute of Technology/Hilbert College)
Jenna Marie Dulak received a Bachelor of Science degree in Computer Security and Information Assurance from Hilbert College and is completing a Master of Science degree in Networking, Security, and Systems Administration from the Rochester Institute of Technology. She is currently employed full time at Hilbert College as the Web Manager, Distance Learning Coordinator, and Adjunct Instructor of MIS.

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The Development of a Physical Activity Management System for Children with Mentally Challenged

We think technology should be employed to help and assist people in the minority, especially special needs people, so that they can live better and fuller lives. The purpose of this research is that we develop a support system for special needs children. We think we have completed the framework of the system at this stage. We hope the system developed helps them to maintain their health in the future.

Presenter: Ryohei Isobe (Toyama National College of Technology)
Ryohei Isobe is a student in Advanced Course at Toyama National College of Technology and he is learning “Control Information System Engineering” to be an engineer in the future. He is interested in a development of iPhone applications and he is working with a physical education teacher to develop a physical activity support system using iPhone for special needs children.

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The Good, the Bad and the Unusable in Social Networking Sites

This study examines the usability of social networking sites of Facebook, Bebo, and Orkut. Measures of the user-satisfaction, usability-metrics and navigation-patterns are collected. Data analysis shows that Orkut is the good social networking sites that is easy to use, while Facebook is the bad site that can be used with difficulty. Bebo is found to be the ugly, unusable site that is inconsistent and difficult to navigate. Implications are provided.

Presenter: Taima Suid (Lisa Academy)
Taima Suid is a student at LISA NORTH of Arkansas. Taima’s research interests are in the intersection of Software Engineering and Human-Computer Interaction. She is interested in identifying design metrics for interfaces and web-based software that make it usable and effective. Taima’s research won a number of regional and national awards and her work was presented in conferences such as Tapia Celebration of Diversity in Computing.

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The Tale of Two Men – Facebook and the Egyptian Revolution

In 2011 the Internet and the social media created a new history for the Egyptians. The revolution ended by Mubarak stepping down, but Facebook role in the political life has become more evident ever since. We present two case studies to illustrate the extend to which Facebook community could contribute to the public opinion. We discuss some of the challenges for social media designers given its current role in Egypt.

Presenter: Shaimaa Lazem (Virginia Tech)
Shaimaa Lazem is a PhD candidate in the Computer Science Department at Virginia Tech. Her work deals with distributed groups in online 3D virtual worlds. She studies how groups coordinate their actions and decisions in an environment that lacks many of the non-verbal cues we have in Face-to-Face interaction. She explores how online groups respond to the system problems such as latency and inconsistency in the shared state. Shaimaa graduated from Alexandria University, Egypt with a B.Sc. and M.Sc. of Computer Science in 2000, and 2006. She expects to get her Ph.D. degree in 2012.

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Toward Optimal Vaccination Strategies for Probabilistic Models

In this work we consider two vaccination optimization problems: in the first one the number of nodes that get vaccinated is limited to k and our objective is to minimize the number of infected people overall. In the other, the objective is to minimize the overall cost of vaccination and recovery. Due to the NP-hardness of them, we design algorithms and evaluate the performance and scalability of them on real datasets.

Presenter: Zeinab Abbassi (Columbia University)
Zeinab Abbassi is a PhD student of Computer Science at Columbia University. She received her M.Sc. from the Department of Computer Science, University of British Columbia, and prior to that her B.Sc. from Sharif University of Technology, Tehran, Iran. She is interested in Social Networks, and Recommender Systems.

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Towards a Computational Model for Assessing User Experience Design in Experiential Media Systems

With modern beyond-the-desktop interfaces, experience designers face additional challenges in creating realistic multimodal interactions that are engaging and intuitive. Successful user experience evaluation tools have been developed for desktop interfaces, but few exist for experiential media systems. Our goal is to develop a computational method to help designers evaluate experiential media systems with respect to cognitive load. To this end, we examine how meaningful connections across modalities impact cognitive load.

Presenter: Andreea Danielescu (Arizona State University)
Andreea Danielescu is a graduate student at Arizona State University pursuing a PhD in Computer Science with a concentration in Arts, Media + Engineering. She received her bachelors in computer science and mathematics from the University of Arizona in May 2004. She is working with Dr. Ellen Campana on the MIReR project, a user experience visualization tool for designers. Her research focuses on human cognition with the goals of advancing the current state of knowledge regarding the capabilities and methods employed by humans, and developing tools and experiential media systems to more effectively transfer knowledge, promote reflection and encourage development.

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Towards Ground Truth in Geometric Textures

Two-dimensional geometric texture synthesis is the geometric analogue of raster-based texture synthesis. An absence of evaluation procedures in recent synthesis attempts demands an inquiry into the visual significance of synthesized results. We report on psychophysical experiments that explore how people understand notions of similarity in geometric textures. We present perceptual metrics and human texture generation features that are crucial for researchers when developing and assessing the success of their algorithms.

Presenter: Zainab AlMeraj (University of Waterloo)
Born in Kuwait in 1982 were I completed high school and was offered a scholarship to pursue a Computer Engineering degree at California State University, Long Beach. Three years later I returned home and worked for the Kuwait Ministry of Defense for two years during which I had my daughter Batool, 8, and son Haidar, 7. Soon after I applied and was immediately accepted to pursue my higher education fully supported by Kuwait University. I am now a PhD candidate. Once complete, I will proudly hold the position of Assistant Professor at the College for Women in Kuwait University.

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Universal Automatic Parallelizer for Binaries

Today, computers are multi-core, whereas software is serial. Manually rewriting serial code is tedious and may never be done. Hence, automatic parallelization is an efficient alternative. We have developed an automatic parallelizer within a binary rewriter; its advantages include, compatibility with all compilers and languages; high economic feasibility; and applicability to legacy-binaries. It includes dependence analysis and cache optimizations using induction-variable analysis. In this work we prove its universal applicability.

Presenter: Aparna Kotha (University of Maryland, College Park)
Aparna Kotha is presently a PhD candidate at the University of Maryland, College Park in Electrical and Computer Engineering. She is advised by Dr. Rajeev Barua. Her field of interest is computer architecture and high performance computing. Her current pet project is automatic parallelization and cache analysis of binaries. She has interned with Intel over summer 2011 in binary translation group. She has her bachelors from Indian Institute of Technology, Madras in Electrical Engineering. She has also worked with Ittiam Systems Pvt. Ltd on the multi-standard video decoder.

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Using Phishing to Test Social Engineering Awareness of Financial Employees

Social engineering is an active vector of attack used by the criminal hacking community to manipulate people into revealing information or performing actions. This research investigates social engineering vulnerabilities within a financial institution. Specialized training was developed and given to employees. They will then be subjected to three rounds of phishing tests to determine the training’s efficacy.

Presenter: Rebecca M. Long (Eastern Washington University)
Rebecca Long is a computer science master’s student at Eastern Washington University (EWU), researching computer security and social engineering. She currently holds degrees in computer science and web development. Outside of school, she is a full-time software quality assurance engineer at NextIT testing AI virtual employees. She is an active member in her company’s running club and enjoys participating in local races. Rebecca has studied various martial arts and holds a black belt in Taekwondo. She also helps run the local women-in-computing group, Spokane Geek Girls.

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VEIL-Click: Creating Advanced Large-Scale Ethernet Networks

VEIL (Virtual Ethernet Identifier Layer) is a novel concept for below IP (layer 2.5) networking. It addresses the scalability, efficiency and reliability challenges facing the traditional Ethernet, while retaining its simplicity. It provides a uniform (below IP) convergence layer to support a large, dynamic and heterogeneous (layer-2) network that is capable of connecting thousands of diverse physical devices. VEIL eliminates flooding at the link layer.

Presenter: Gowri Chitloor Parthasarathy (University of Minnesota/Intel)
Gowri obtained her Bachelor of Engineering degree in Computer Science from R.V. College of Engineering in Bangalore. She later worked for Hewlett Packard, Bangalore for about 2 yrs. Her work involved development of system performance analysis tools. Following this, she obtained her Masters degree in Computer Science from the University of Minnesota, Twin Cities. She is currently employed at Intel Corporation where she works on the development of Intel Wireless Display related products.

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What If Cryptography Is Combined With Biometrics?

Use of biometric identity for authentication and identification is becoming increasingly popular. The protection of this identity from attackers is more crucial than protecting traditional key authentication (passwords). We introduce a naive approach based on feature extraction in frequency domain and coding theory to perform biometric data protection using fingerprint as biometric. Our approach is computationally efficient and can be used in real time.

Presenter: Avani Nandini (Indian Institute of Technology, Kanpur)
I am a fourth year B.tech-M.Tech dual degree student in department of computer science and engineering at IIT Kanpur. Having lived most of my life in hostels, somehow getting involved in studies has been my hobby. I am very passionate about research and always dreamed of giving my contributions in research. My stay has been exciting with challenges at many stages. One such was last year when I successfully completed my internship at Microsoft Research Redmond, Washington working at a PHD level.

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What If Free/Open Source Software Projects Had More Participation from Women and Other Underrepresented Groups?

This poster will highlight the importance for CS students to get involved in Free/Open Source Software (FOSS) and for FOSS projects to value diversity and skills beyond programming. This poster will present, briefly, barriers to entry, but will focus primarily on the opportunities and advantages for women to get involved in FOSS projects; including tips on projects which make it easy to join, ask questions and contribute.

Presenter: Becka Morgan (Oregon State University)
Becka Morgan received her B.S. with the Highest Honors (Summa Cum Laude) in Computer Science and an M.S. in Management and Information Systems from Western Oregon University. She is working on her PhD in Science and Mathematics Education at Oregon State University and is an Assistant Professor of computer science at Western Oregon University. Her area of research is focused on the underrepresentation of women in computer science and FOSS.

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What If Information is Shared?

Information in Spanish about the process of searching, applying and getting financial aid in universities around the world is very limited. After applying to a graduate program in U.S., and being accepted in a university in U.S., the blog “Busca Beca“ (Spanish for Find Scholarship) was created. The blog has an average of 900 visits per month from several countries around the world.

Presenter: Andrea Villanes (North Carolina State University)
I’m a PhD student at North Carolina State University (NCSU) in the department of Computer Science. I received a Master of Science in Analytics from North Carolina State University in 2009. Prior to enrolling at NCSU, I received a bachelor degree in Computer Science at the Pontificia Universidad Católica del Perú in May 2008.

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What If Math was Taught Using Computer Science?

With the number of girls entering CS decreasing at an alarming rate, the need to motivate girls to embrace CS is overwhelming. An approach to address this problem is to use CS as a tool to study a subject like Math. This leads to a realization of the usefulness of CS as a fast, iterative learning mechanism, and the resulting attraction to CS. Examples of this approach will be illustrated.

Presenter: Smriti Pramanick (Castilleja High School)
Smriti Pramanick is currently a sophomore at Castilleja School in Palo Alto, California. Her favorite subjects in school are mathematics and science. While at the Girls’ Middle School in Mountain View, California, Smriti participated in the MAGIC program (getmagic.org) in which she dabbled in Scratch, Alice, and Python programming. She presented this experience as a panelist in the 2009 Grace Hopper Conference session “MAGICal Learnings from 1-1 Mentoring of Middle School Girls.” Smriti enjoys a variety of extra-curricular activities, including playing the piano, martial arts, Indian classical dance and vocal music, table tennis, and swimming.

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What If Query Answering Is Enabled With Exploratory Search?

We propose an exploratory search technique based on the faceted search paradigm. Faceted search aids users to navigate a multi-dimensional information space by combining text search with a progressive narrowing of choices in each dimension (facet). Proposed techniques dynamically suggest facets for drilling down into underlying large repositories (enterprise databases and web) such that the {\em cost} of navigation is {\em minimized}. To the best of our knowledge, we propose the first {\em dynamic} faceted search system.

Presenter: Senjuti Basu Roy (Rutgers, The State University of New Jersey)
Senjuti Basu Roy was born in Calcutta, India. She received her B.Tech. degree in Computer Science and Engineering from the University of Calcutta, India, in 2004, and her M.S. in Computer Science from The University of Texas at Arlington in 2007. She has just completed her PhD in Computer Science from the UT Arlington, and is currently continuing as a Postdoctoral Associate at DIMACS at Rutgers University. Her current research interests include information retrieval and data mining techniques on databases and social networks, algorithms, machine learning etc. Visit her webpage for further details http://dbxlab.uta.edu/dbxlab/senjuti.html

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What If Social Network Data Was Visualized for Human Intuitive Consumption?

Our thesis shows that visually rich data presentations lead people to better engagement and retention. We present data with multi-variable metadata using a three-axes CMY color space and zoomable interaction model, taking advantage of intuitive mental models. We will compare this presentation to a single dimensional presentation in order to see if the visually rich presentation format is more effective.

Presenter: Jennifer M. Lin (Collabotron)
Jenn is the founder of Office Labs Test at Microsoft and worked in Live Labs on cutting edge data visualization tools. She was part of the PivotViewer team, which was runner up for the Wall Street Journal’s Internet Technology of the Year Award in 2010. Jenn is also a founder of Collabotron, a Tech Stars Seattle semi-finalist in 2011. Jenn has also worked as a developer with IBM for ASCI Blue, White, and Purple. Jennifer holds a BA from Harvard University in Biomedical Engineering.

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What If Tears in the Eyes of Third World Sufferers Could Be Wiped Off by Us

Poverty and under development while being an unfortunate part of many nations, can create a situation where human despair feeds the temptation to join criminal gangs, local militia or drug economy. We focus on identifying such nations having acute potential to become explosive and need immediate attention from developed countries with use of latest technologies. They call for diversified partnerships amongst governments, philanthropies, businesses, NGO’s, universities, unions, faith communities and individuals.

Presenter: Shazia B. Mardhani (Intel)
Shazia Mardhani is a hardware Engineer at Intel Corporation, Chandler AZ. As the start of her professional career she worked for IBM, Endicott plus IBM, Austin and later moved on to Intel Corp. She was a gold medalist in high school, finished her BSc in Computer Engineering from University of Alberta, Canada and started Masters at Stanford University. Shazia published a couple of papers for International Test Conference while working for IBM and has written some papers for Intel’s internal conferences. Her interests include, volunteering for the community, making positive difference in lives of people around her, environmental health and safety.

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What If Users Know the Privacy Implications When Using Facebook?

This study examines gender-based behavioral differences among school students when they become aware of privacy implications when using Facebook. A sample of 80 middle and high school students of Facebook users is used. Results reveal that there are no significant gender differences in types of information disclosed on Facebook. However, data analysis shows that females have more protective behavior when they are introduced to privacy implications

Presenter: Yahya Suid (Lisa Academy North)
Yahya Suid is a student at LISA Academy. Yahya’s research interests are located in the interdisciplinary area of privacy, security and trust in computing systems. Yahya’s work was presented in regional and national completions such as Tapia Celebration of Diversity in Computing 2011.

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What If We Could Maintain Successful Performance During a Personal Crisis?

Life can present unforeseen challenges that impact our lives and affect our work. This poster will discuss strategies for maintaining successful performance while maneuvering through a personal crisis. These experiences range from raising a special needs child, a divorce, a partner with a severe illness, job loss, or extreme travel, their own illness, caring for aging parents, all while maintaining success in their careers.

Presenter: Tamara Wesley (Intel)
Tamara received her BS and MS in EE (CS minor) from Georgia Institute of Technology. She spent 12 years as an Engineer working for GM in manufacturing, HP in technical marketing, and Intel in component design. Tamara lives in Fort Collins, CO, and designs the Intel Itanium processor. She is now an Engineering Manager for the FC Mask Design Team. She serves as Diversity Leadership Chair, Women at Intel VP, and United Way Campaign Co-Chair at FC. Tamara was a Colorado State University Women of Excellence and Black Beauty panelist, sharing her experiences with African-American female students attending CSU. She is most importantly, a single mother of two.

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What If We Could Use Science to Be Happy at Work?

Grounded in respected scientific data, learn actionable steps to become happier and more productive at work. A number of peer-reviewed studies suggest that happier people are more creative, resilient, insightful, and successful. Presentations on this topic have averaged ratings of 4.8/5. Presenting dozens of specific actionable techniques, the material is organized around three key themes: • Focusing while pursuing meaningful goals • Striving for a positive attitude • Nurturing relationships

Presenter: Scott Crabtree (Intel)
Scott Crabtree earned a B.A. in Cognitive Science from Vassar College in 1988. Immediately afterwards he worked on artificial intelligence software. He started working at the first of several game development companies in 1996. He joined Intel in 2005 as an Engineering Manager and is now a Technology Strategist. He is fascinated by and passionately studies organizational development, human psychology, neuroscience, and the science of happiness and well-being. Scott lives in Portland, Oregon with his wife and daughter. He enjoys spending time with them, especially in nature, and playing with his band Mister Fisk.

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What If We Played the Game of Work? Gaming in the Enterprise

Gamification is hot right now. Zynga’s Farmville was recently valued at $7B dollars. Everyone is playing. In the US alone there are 183 million gamers. What if those gaming tactics were applied in the enterprise? What if we played the game of work? Salesforce.com’s Technology team decided to answer this by creating a virtual reward and recognition system that employed social gaming aspects of recognition, continuous feedback, challenges, and rewards.

Presenter: Andrea Leszek (Salesforce.com)
Andrea Leszek is the Senior Director of User Assistance at salesforce.com. She has been building and leading high-performing teams in the technical communications industry for over fifteen years. Since joining salesforce.com in 2000, she has focused her work on two critical goals: helping customers be successful with high-quality documentation and in-app help, and nurturing a team-centered environment to help employees achieve their highest potential. She has spoken at conferences about salesforce.com’s approach to integrated user assistance and their Agile writing process. Andrea holds a B.S. and M.S. in Linguistics from the Massachusetts Institute of Technology.

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What If Website Development is About More than Just Good Looks?

Many people believe that website development is as simple as dragging an icon. However, user-centered websites require more. This poster presents the initial results from a study that used user-centered design (UCD) to develop a website for a small-sized business. The results suggest that UCD is an effective approach that leads to a website that has more than just good looks, but one that is useful, usable, and used.

Presenter: Cynthia Lester (Tuskegee University)
Cynthia Lester is an Associate Professor of Computer Science at Tuskegee University, Tuskegee, Alabama. She earned the B.S. degree in Computer Science from Prairie View A&M University, Prairie View, Texas and both the M.S. and Ph.D. degrees from The University of Alabama, Tuscaloosa, Alabama. Dr. Lester’s areas of specialization are Software Engineering and Human Computer Interaction. She has presented her research at numerous national and international conferences. Her noted recognitions include being named a 2010 International Academy, Research, and Industry Association Fellow and a 2011 Tuskegee University College of Business and Information Science Distinguished Faculty.

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What If What Got You Here Ain’t Going to Get You There

Some of the best career decisions are made when one realizes her – skills, builds upon them and has a clear direction and motivation. . However, skills also prepare you for the serendipitous, the unexpected opportunity. In this panel, panelists from industry and academia, leading global workforce will share their stories and mentorship on how they developed and realized their skills in getting where they are today.

Presenter: Divya Kolar (Intel)
Divya Kolar holds a M.S in Computer Science conferred in 2006 from Portland State University. She joined Intel in 2005 and has previously worked as a Software Engineer where she was an active researcher in various security and manageability technologies. Today she is a Technical Marketing Engineer in the Intel’s largest research group and is responsible to promote Intel technologies to external media partners besides performing ecosystem enabling and competitive technology analysis for Intel Labs’ microprocessor research. Divya Kolar has been an active member in Anita Borg Institute since 2007 and has conducted more than 5 panel presentations at the conference.

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What If You Could Really Make a Difference?

Several organizations are actively engaged with the community in trying to spread education, provide health and wellbeing awareness programs, explore sustainable options and improve the lives of people physically, emotionally and economically. This presentation will feature a few aspects of how Intel and the Oregon Women at Intel Network values community service and strives towards making a real difference in the world.

Presenter: Vikki Mueller-Espinosa (Intel)
Vikki Mueller Espinosa holds a B.S. in Business Administration conferred in 1990 from Northeastern University. She joined Intel in 1991 where she was a Finance Professional for the past 20 years supporting the Corporate Services Organization. Over her career she held a variety of roles from Budgets & Planning Analyst to Controller with a heavy concentration in Systems, Processes and Training for the New Building and Factory Construction Organization. Today she is the Mobile Wireless Bluetooth Core and Products Group Business Operations Manager. Vikki is passionate about Career Development, Manager & Leadership Coaching and Development and is a regular Intel University Instructor and Speaker.

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What If Your Software and Hardware Worked Together?

Recent advances in computer processors can significantly impact your application’s performance and reliability – if you know how to utilize them. See what software technologies exist to help your increase your application’s performance and correctness, including Intel® Parallel Building Blocks, Intel® VTune™ Amplifier XE, Intel® Parallel Studio XE and more.

Presenter: Shannon G. Cepeda (Intel)
Shannon Cepeda holds a BS and MS in Computer Science from NC State University. She has 10 years of experience at Intel Corp related to software and hardware performance analysis. She has worked on servers as well as client systems, and hardware/system performance tuning as well as software optimization (her current focus).

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Women and Computer-Related Fields of Study

Because it’s a well known fact that women are underrepresented in computer-related majors in universities across the country, this study takes a look at some of the factors that influence women to choose – or not choose – a major in a technological course of study. With the information gained, hopefully changes can be made so more and more women will recognize their strengths and enter into an ever-growing field.

Presenter: Moriah K. Baxevane-Connell (Temple University)
Moriah Baxevane-Connell is going into her senior year at Temple University with a double major in Information Science and Technology and Psychology. Originally from the Pocono Mountains, Pennsylvania, Moriah now lives in Philadelphia and works as an intern at the Vanguard Group. Her research dealing with the lack of women in the technology field stems from her time at the Grace Hopper Conference in 2010 along with the personal experience of changing majors herself.

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Young Women in Computing: Programming Impact of Diversity – Eclipse vs. App Inventor in Secondary Outreach

Young Women in Computing is an outreach program at New Mexico State University targeting pre-university females. The latest project has been conducting an app programming competition at a local high school, with groups of students designing a socially-beneficial app on the Android platform. The goal is to excite the students about the possibilities in computer science. Research focuses on diversity’s impact within a group in a secondary school outreach program.

Presenter: Nicole Ray (New Mexico State University)
Nicole is a junior in the New Mexico State University Computer Science Department. She has been involved with the department’s Young Women in Computing program since 2006 and is now an undergraduate research assistant with them. Her job is mainly comprised of various outreach sessions and compiling research gained from each session, followed by the presentation of a research poster at a conference such as GHC or CAHSI. Nicole is currently working with a non-profit organization in England as a network technician and video producer. In her free time she enjoys leadership in her church college group, music, and friends/family.

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Young Women in Computing: Sparking Interest in Information Technology Through Secondary Outreach

To counter female underrepresentation in Information Technology (more broadly, Computer Science) fields the Young Women in Computing program organizes annual summer camps for high school girls, aiming to spark interest in CS. Camps teach computing concepts in innovative and motivational ways – students utilize the LilyPad Arduino, and participate in collaborative technology-related and team-building activities. YWiC’s goal is to encourage female interest and aspirations of professional positions within CS fields.

Presenter: Stephanie Marquez (Young Women in Computing at New Mexico State University)
Stephanie Marquez is part of the undergraduate research assistant staff with Young Women in Computing at New Mexico State University. She began working with YWIC in the Spring of 2009, and is majoring in Business Computer Information Systems and minoring in Computer Science. Stephanie was an assistant instructor at Sierra Middle School, where she helped students with LilyPad Arduino. In September, she was a poster presenter for YWiC at the 2010 Grace Hopper Celebration of Women in Computing.

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Distributed Research Experiences for Undergraduates (DREU) Posters

(in alphabetical order by title)
These posters were added to the poster session from the Distributed Research Experiences for Undergraduates (DREU) held over the summer.

Are Motorized Wheelchairs an Effective Method of Locomotion in Virtual Environments? – Part I

Although walking is an effective method for moving in a virtual environment, it requires the size of the virtual environment to be no larger than the physically available space. Using a wheelchair offers more opportunities to manipulate the participant’s movement, while allowing the participant to retain the same sense of presence felt while walking. Experiments showed that the wheelchair can be an option for effective movement and should be studied more in the future.

Presenter: Amelia Nybakke (Harvey Mudd College)
Amelia Nybakke is a junior at Harvey Mudd College double majoring in computer science and Spanish. Her areas of interest include virtual reality and scientific computing. She recently held a research position at the University of Minnesota. In her free time, she also enjoys baking.

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Are Motorized Wheelchairs an Effective Method of Locomotion in Virtual Environments? – Part II

Using a wheelchair to move around in a virtual environment offers opportunities to manipulate the participants’ movement, while allowing them to retain the same sense of presence felt while walking. We tested the performance of twenty-four participants in a navigational search task using four different methods of movement: free walking, motorized wheelchair, physical rotation with joystick translation while sitting, and physical rotation with joystick translation while standing.

Presenter: Ramya Ramakrishnan (Georgia Institute of Technology)
I am Ramya Ramakrishnan, a sophomore CS major at the Georgia Institute of Technology. I have really enjoyed CS, which has led me to join organizations like Women @ College of Computing to promote other women to pursue their dreams in CS. I did virtual reality research over the summer under Prof. Victoria Interrante at the University of Minnesota and learned a lot from the experience. In my free time, I enjoy singing South Indian classical music. Being involved like this is a great feeling, which is why I am very excited for this year’s Grace Hopper conference!

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Enhancing Middle School Math with Alice Programming

We describe four math games we created in Alice to assist teachers in teaching North Carolina’s concept standards, and created step-by-step tutorials for students. In Summer 2011, we taught Alice to teachers from North Carolina in a two-week workshop. We then analyzed the teacher’s worlds and lesson plans to see how they used Alice. Our poster describes the math games we built and the analysis of the teacher’s Alice worlds and lesson plans.

Presenter: Chitra Gadwal (University of Maryland, Baltimore County)

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HaptiGo Tactile Navigation System – Part I

Tactile navigation systems employ one’s sense of touch with haptic feedback to communicate directions. This type of navigation presents a potentially faster and more accurate mode of navigation than preexisting visual or auditory forms. We developed a navigational system, HaptiGo, which uses a tactile harness controlled by an Android application to communicate directions. We discuss the novel usage of smartphones for tactile navigation and the effectiveness of the HaptiGo navigation system.

Presenter: Kate Boxer (Cornell University)

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HaptiGo Tactile Navigation System – Part II

We developed a navigational system, HaptiGo, which uses a tactile harness controlled by an Android application to communicate directions. The use of a smartphone to provide GPS and compass information allows for a compact and user-friendly system. HaptiGo has been tested for functionality and to determine general receptiveness to haptic navigation. It was further tested to determine its accuracy compared to the use of static map-based navigation, and the potential benefits of tactile navigation.

Presenter: Alex Reynolds (Vassar College)
Alexandra Reynolds is a third year Computer Science major at Vassar College. She is considering a minor in Russian, however a life of nomadic exploration is also a possibility.

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Identifying Transactive Reasoning Through Speech

Social Accommodation Theory states that when two people speak, their speaking styles change depending on the outcome of their discourse. When the dialogue is constructive, participants start to speak more like each other. By comparing the change in vowel spaces of individuals over the course of a dialogue we can estimate the amount of influence they had on each other. This research supports the idea that knowledge changes can be detected by identifying changes of the sound waves.

Presenter: Laura Willson (Barnard College)
Laura Willson is a senior at Barnard College where she is a computer science major. Laura works as a research assistant in the Spoken Language Processing lab at Columbia University and serves on the board of Columbia’s Women in Computer Science. Her research focuses on natural language processing, specifically prosody, sentiment analysis, and sociolinguistics. An article that she co-authored, “Acoustic and Prosodic Correlates of Social Behavior” was recently published in Interspeech in 2011. She is currently writing her senior thesis on prosodic entrainment of intonational contours in questions.

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Molecular Dynamics Task Graph

We present a new way to parallelize molecular dynamics codes and provide visualization tools to view the dependencies between the loops in the molecular dynamics code and the dependency graphs when sparse tiling algorithms have been applied to the code. The research helps determine whether partition graph coloring is effective in increasing the average parallelism of the code.

Presenter: Amanreet Bajwa (Colorado School of Mines)
Amanreet Kaur Bajwa is an undergraduate student in computer science at Colorado School of Mines. She is currently enrolled in her final undergraduate year and is concurrently pursuing her master’s degree at the same institution. She is also the president of the Colorado School of Mines chapter of ACM-W. She participated in the DREU program this summer and got her first look at what research is like and will be presenting a poster about the parallelization of a molecular dynamics simulation called moldyn. Her interests include education through gaming, web applications, and mobile application development.

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Motivating Continued Engagement in a Learning System with Collectable Items

Despite the ubiquitous presence of computers and technology, limited opportunities to learn computing skills result in only a small, homogeneous segment of the population entering the field. Looking Glass is a programming environment designed to provide the opportunity for young learners to independently teach themselves computer programming. We describe the results of an early formative study on an interface for browsing 3D models that supports this system.

Presenter: Alexis Chuck (Pomona College)
Alexis Chuck is a senior at Pomona College majoring in Media Studies and minoring in Computer Science. She has participated in the DREU program for two summers, first in the Sketch Recognition lab at Texas A&M University in College Station and most recently with the Looking Glass group at Washington University in St. Louis. At Washington University she worked on educational software aimed at teaching programming to middle school children and helped plan a complementary online community. After graduation she hopes to explore and develop new forms of digital media and the tools available for artist and graphic designers.

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Patient Medication Self-Management Mobile Application

Managing medication schedules has become a daunting challenge for many seniors. In order to mitigate the effects of medication non-adherence, seniors need an intuitive tool that allows them to gain control over their medication schedule. Making use of the capabilities of today’s smartphones, the android application presented here hopes to assist seniors in their medication management routine.

Presenter: Lan Li (Rice University)
Lan Li is a junior undergraduate student at Rice University studying computer science. Outside of programming, she enjoys a wide variety of activities such as cooking, drawing, and watching movies.

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Pet Dogs as Exercise Partners Stimulates Physical Activities for Owners

Our goal is to measure and display information about a dog’s activity level in order to motivate the owners to walk their dogs more, and thus get more exercise themselves. The study consisted of one week of baseline data collected on the participants current habits, followed by three weeks of trial. All participants and their dogs used a pedometer to record and send data about their steps.

Presenter: Jianling Fang (De Pauw University)

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Summer 2011 DREU Experience at Auburn University

During my DREU experience I learned about the Microsoft SharePoint platform, and concepts and skills related to the design and development of accessible Web sites, such as W3C and Section 508 recommendations for Web accessibility. I worked with researchers from the Alabama Institute of Deaf and Blind to test the accessibility of a Web site developed on the Microsoft SharePoint platform. Feedback was collected from the participants through a Likert scale questionnaire and interview like questions.

Presenter: Cassandra Stephens (Southern Union State Community College)
I am a native of Auburn, Alabama. I have lived in Alabama for most of my life although lived in New Jersey for three years and Atlanta for five. I have worked in various fields which have included government, telecom, the mortgage industry and for a Fortune 500 computer company. I have always been interested in computers. This interest was driven by my need for assistive technology for work, learning and play since I am visually impaired. When the opportunity presented itself, I decided to pursue a degree in computer science and am currently enrolled at Auburn University.

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Using Feedback to Improve Data Provided in a Participatory Sensing Application

In participatory sensing people use their mobile devices and web services to observe, study, and share their world. The contribution of this project is the introduction of new approaches for assessing the quality of participatory data and providing feedback along with incentives to the participants to get better data. As a first step to evaluate these approaches, I have developed Trashy Photos, in which users upload photos of trash cans so their placement and usage can be analyzed.

Presenter: Patrick Kamongi (University of Arkansas at Little Rock)
Patrick Kamongi is a senior undergraduate student at the University of Arkansas at Little Rock (UALR), majoring in Computer Science with minors in Information Assurance and Mathematics. He has been awarded a Rwanda Presidential Scholarship. In his Summer 2011 DREU internship, he worked on the participatory sensing project at the University of North Carolina at Charlotte with Dr. Jamie Payton. He is currently working on a project on secure and efficient sharing of files in the cloud with mobile devices at UALR with Dr. Shucheng Yu. He is a member of ACM, Pi Mu Epsilon, and the Mathematics Honorary Society.

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