TECHNICAL ADVISORY BOARD

David Anderson, Ph. D. Associate Professor, Georgia Institute of Technology

Prof. Anderson is currently an associate professor in the School of Electrical and Computer Engineering at Georgia Tech and co-director of CREST, the Center for Research in Embedded Systems Technology. Prof. Anderson's research topics include audio, psycho-acoustics, and signal processing in the context of human auditory characteristics. His research also involves implementing real-time signal processing applications using both analog and digital hardware. Prof. Anderson was awarded the National Science Foundation CAREER Award and the Presidential Early Career Award for Scientists and Engineers in 2004. He has over 100 technical publications and seven patents, both issued and pending. He received both a B.S and M.S. degrees from Brigham Young University and a Ph.D. degree from Georgia Institute of Technology.

Bettina Briz, Management Advisor

Ms. Briz has more than twenty years of executive management experience in the semiconductor & manufacturing industries. Most recently, Ms. Briz led business development initiatives for Flextronics's Printing & Imaging Division, a $3B division for Flextronics. She has also served as advisor and consultant to many technology start-ups, including Summit Microelectronics, Elantec (acquired by Intersil Corporation), and Portal Wave (acquired by Kinzan). Ms. Briz was a Senior Director at National Semiconductor, leading their Imaging, Displays & Custom LSI Divisions, and she also served as Vice President of Marketing for TriTech Microelectronics and NPL. Ms. Briz holds a M.S.E.E from Boston University. She is currently on the advisory boards of IPextreme, a semiconductor IP company, and Boston University's College of Engineering.

Gert Cauwenberghs, Ph. D. Professor, University of California at San Diego

Prof. Cauwenberghs is known for his pioneering work and continued leadership in the field of "learning in silicon". Previously a Professor of Electrical and Computer Engineering at Johns Hopkins University, he has extensive experience with the design, prototyping and characterization of micropower analog and mixed-signal VLSI integrated circuits for adaptive signal processing and pattern recognition. As a Professor of Neurobiology at University of California San Diego, his current research focus is on learning and synaptic plasticity in natural and artificial neural systems. Other topics of research actively pursued in his group include kernel-based learning machines, micropower implantable neural interfaces, acoustic microarrays, adaptive optics and biometric identification. Prof. Cauwenberghs received an Engineer's Degree from Vrije Universiteit Brussel, Belgium, and a M.S.E.E. and a Ph.D. degree both from the California Institute of Technology, Pasadena. He has held visiting positions in the Department of Brain and Cognitive Science at Massachusetts Institute of Technology and the Center of Adaptive Systems at Boston University.

Gail Erten, Ph. D. Director of R&D, Optical Physics Company

Dr. Erten is a founder of IC Tech, Inc, which specializes in implementation of neurally inspired algorithms and circuits. She managed advanced development for IC Tech, focusing on digital and analog VLSI systems for audio and speech signal enhancement, voice interface, user authentication, low-light CMOS sensing and other signal processing intensive sensor systems. She went on to co-found Clarity Technologies, Inc., where she served as President and Chief Technology Officer. She holds several patents and has published over 30 articles, including key work in blind source separation, speech extraction, and electromechanic applications. Dr. Erten received a B.S.E.E. from Stanford University, and both a M.S.E.E and Ph.D. from California Institute of Technology. She has also held adjunct faculty positions in Electrical and Computer Engineering at Michigan State University.

Fernando Silveira, Ph.D. Associate Professor, Universidad de la República, Montevideo, Uruguay

Prof. Silveira is an internationally recognized researcher with academic and industrial experience in analog VLSI for implantable medical devices. He authored the text "Low Power Analog CMOS for Cardiac Pacemakers" and numerous journal and conference articles. He led the design of a complete VLSI chip and several low power analog blocks that are utilized in current implantable medical products. His active research areas are in ultra low-power analog, mixed signal and RF design. He teaches circuit design to both graduate and postgraduate students. He also serves as an Electronics Specialist for CCC Medical Devices. Professor Silveira has an Electronic Engineering degree from Universidad de la República, Montevideo, Uruguay, a Masters and a Ph.D. from Université Catholique de Louvain, Belgium.

Mark T. Smith, Ph.D. Professor, Kungliga Tekniska Högskolan (KTH), Stockholm, Sweden

Professor Smith is the coordinator of the KTH Graduate Program in Design and Implementation of ICT Products and Systems. This program focuses on how electronics, computer architecture, embedded systems and communication technologies are integrated together into products, systems and solutions. His current research activities are in architectures for future ICT devices, context information measurement, and data fusion technologies. He spent 20 years at Hewlett Packard Laboratories in Palo Alto, California, where he performed applied research in a large number of information technology areas. He was a visiting faculty member at the Georgia Institute of Technology in Atlanta, Georgia where he performed research in biometric sensors for consumer applications and low-power embedded systems for media processing. Prof. Smith received a B.A. from the University of California, Riverside, and a M.S. and a Ph.D. from the University of Utah. He holds 12 patents with 14 more in process.