2007 Conference Information: Invited Speakers
Talk: Network-Driven Chips, Thursday, Session 1
Li-Shiuan Peh has been an Assistant Professor of Electrical Engineering at Princeton University since 2002. She graduated with a Ph.D. in Computer Science from Stanford University in 2001, and a B.S. in Computer Science from the National University of Singapore in 1995. Her research focuses on low-power interconnection networks, on-chip networks and parallel computer architectures, and is funded by several grants from the National Science Foundation, the DARPA MARCO Gigascale Systems Research Center as well as Intel Corporation. She was awarded the Sloan Research Fellowship in 2006, and the NSF CAREER award in 2003.
She has been involved in the organization and participation of several outreach activities as the faculty co-adviser of the Princeton Graduate Women in Science and Engineering (GWISE) since 2003, organizing activities both within and beyond Princeton such as an annual event for 100+ high school girls in New York City targeted at attracting women into Engineering since 2004, and a career workshop at Princeton for women undergraduates and graduates from universities in the tri-state area in 2006. She has also organized and participated at a NSF-funded CRA-W/CDC Computer Architecture Summer Workshop for minorities in computer architecture, and spoke at a distinguished women faculty lecture series at UT Austin.
Talk: Inventing the Future of Computer Architecture, Thursday, Session 2 - CANCELLED
Carole received her diploma of Engineer in Computer Science at Institut Superieur d’Electronique de Paris, in Paris, France. She is a Technical Lead in the software platform group at Google, working on application performance analysis. Prior to joining Google, Carole spent 16 years at Intel. She was a member of the five architect definition team who defined the Intel architecture MMX multimedia extensions. As the Itanium Multimedia, and Floating Point Architect, she led a team of Intel and HP architects who defined the multimedia and floating point instruction sets for the Itanium. She initiated a collaboration with the Impact compiler project from University of Illinois., and completed a port of Impact to Itanium architecture. She led the product compiler team that released the first Itanium product compiler. She is co-author of a book, “The Complete Guide to MMX Technology”. She has published over 15 papers, including 4 in the Intel Technology Journal. She holds 47 patents in the area of Computer Architecture, and multimedia computing. She is the co-chair of the Advisory board of the Anita Borg Institute for Women in Technology.
Talk: VINI: Virtual Network Infrastructure, Thursday, Session 3
Jennifer Rexford is a Professor in the Computer Science department at Princeton University. From 1996-2004, she was a member of the Network Management and Performance department at AT&T Labs–Research. Her research focuses on Internet routing, network measurement, and network management, with the larger goal of making data networks easier to design, understand, and manage. Jennifer is co-author of the book “Web Protocols and Practice” (Addison-Wesley, May 2001). Jennifer served as the chair of ACM SIGCOMM from 2003 to 2007, and currently serves on the CRA Board of Directors and the ACM Council. She received her BSE degree in electrical engineering from Princeton University in 1991, and her MSE and PhD degrees in computer science and electrical engineering from the University of Michigan in 1993 and 1996, respectively. She was the winner of ACM’s Grace Murray Hopper Award for outstanding young computer professional of the year for 2004.
Talk: Numenta Technology Discussion, Thursday, Session 4
Founder Dileep George’s interest in discovering how the human brain functions began soon after hearing a seminar on the topic while as a graduate student in Electrical Engineering at Stanford University. His primary research interests are in understanding the organizational properties of the world and in linking that to the cortical micro-circuitry and architecture.
Dileep joined the Redwood Neuroscience Institute as a Graduate Research Fellow and began working closely with Jeff Hawkins in extending and expressing Jeff’s neuroscience theories in mathematical terms. He created the first proof-of-concept program to illustrate these concepts, which triggered the launch of Numenta with Jeff Hawkins and Donna Dubinsky in 2005. Within five months of Numenta’s founding, Dileep and his team created the first prototype of HTM technology.
Prior to his graduate studies, Dileep served as a Principal Engineer in several communications-related start-up companies. Dileep holds a Bachelor’s degree in Electrical Engineering from the Indian Institute of Technology in Bombay and a Master’s degree in Electrical Engineering from Stanford University.
Talk: Next Generation Supercomputers, Thursday, Session 5
Valentina Salapura is currently a Research Staff at the IBM T.J. Watson Research Center.
Dr. Salapura has been a technical leader for the Blue Gene program since its inception. She has contributed to the architecture and implementation of several generations of Blue Gene Systems focusing on multiprocessor interconnect and synchronization and multithreaded, multicore architecture design and evaluation. Most recently, she has been unit lead for several units of BlueGene/P, as well as a leader of the chip and system bringup effort.
Valentina Salapura is recipient of the 2006 ACM Gordon Bell Prize for Special Achievements for the BlueGene/L supercomputer and Quantum Chromodynamics. Dr. Salapura has received several corporate awards for her technical contributions, and several top licensing patent awards, and together with the IBM BlueGene team was recognized with the 2004 Team of the Year Award by EE Times. Dr. Salapura is the author of over 60 papers on processor architecture and high-performance computing, and holds many patents in this area. Dr. Salapura is a Senior Member of IEEE.
Talk: Neurons to Silicon: Implantable Processor Design, Friday, Session 4
Teresa H. Meng joined the faculty of the Electrical Engineering Department at Stanford University in 1988. Her research activities during the first 10 years at Stanford included low-power circuit and system design, video signal processing, and wireless communications. She has received many awards and honors for her research work at Stanford, including an NSF Presidential Young Investigator Award, an ONR Young Investigator Award, an IBM Faculty Development Award, a Best Paper Award and a Distinguished Lecturer Award from the IEEE Signal Processing Society, the Eli Jury Award from U.C. Berkeley, and awards from AT&T, Okawa Foundation and other industry and academic organizations.
In 1999, Dr. Meng took leave from Stanford and founded Atheros Communications, which is a leading developer of semiconductor system solutions for wireless and other network communications products. Dr. Meng was named one of the Top 10 Entrepreneurs in 2001 by Red Herring, Innovator of the Year in 2002 by MIT Sloan School eBA, the CIO 20/20 Vision Award in 2002, and the DEMO@15 World-Class Innovator Award in 2005. She returned to Stanford in 2000 to continue her research and teaching at the University.
Dr. Meng’s current research interests focus on circuit optimization, neural signal processing, and computation architectures for systems biology. She has given plenary talks at major conferences in the areas of signal processing and wireless communications. She is the author of one book, several book chapters, and over 200 technical articles in journals and conferences. Dr. Meng is a Fellow of the IEEE and a member of the National Academy of Engineering. She received her M.S. and Ph.D. in EECS from the UC Berkeley and her B.S. from National Taiwan University.
Talk: Building Embedded Adaptive Systems, Friday, Session 5
Devika Subramanian obtained her undergraduate degree in electrical engineering and computer science from the Indian Institute of Technology, and her PhD in computer science from Stanford University in 1989. She is presently a Professor of Computer Science at Rice University, where she has been on the faculty since 1995. Her research interests are in the design of statistical machine learning algorithms with probabilistic performance guarantees. Her approach is experimental; she designs new algorithms in the context of large-scale applications in science and engineering. Her work has appeared in premier conferences and journals in artificial intelligence, machine learning, computer systems, compilers, networking, computational biology, protein crystallography, robotics, mechanical engineering design, computational neuroscience, cognitive science, and political science. Subramanian served as co-Program Chair for AAAI in 1999, and was on the IJCAI Advisory Board in 2001. She has given many invited lectures on her work, including IJCAI 1993 and 2007. She has won teaching awards at Stanford, Cornell and at Rice. Her research has been funded by the National Science Foundation, National Institutes of Health, Office of Naval Research, Defense Advanced Research Projects Agency, and the Texas Advanced Technology Program.