About

Tuan Anh Duong, Ph.D., led Bio-Inspired Technology research in the Neural Networks Group at the NASA/Jet Propulsion Laboratory for 26 years. In 2002 he was awarded the Exceptional NASA Space Act Award followed by Major Space Act Awards in 2003, 2006 and 2009. He holds 15 US patents and 2 International patents, 30 NASA New Technology Reports, 3 book chapters in neural networks and hardware implementation and has authored and co-authored over 82 journal and refereed papers. He also was an invitee to participate in National Academies Keck Futures Initiative (NAKFI) Complex Systems Conference-Complex System-08 in Irvine, California, Nov 13-15, 2008. (NAKFI is a program of the National Academy of Sciences (NAS), the National Academy of Engineering (NAE), and the Institute of Medicine (IOM) with support from the W.M. Keck Foundation.)

He served the PI role for AIE-DARPA IP2 Phase I and II for Brain-like Intelligent Systems (BIS) Intelligent In-Pixel Processing (IP2) Task in 2021-2023.

He led Adaptive Computation LLC to pitch video on “Detecting and tracking elusive objects of interest across air, land, and space domains” has been deemed Awardable by the DARPA ERIS Marketplace in June, 2025.

He wrote a complete on-line learning neural network software package to demonstrate fault-tolerant and graceful degradation characteristics of hybrid neural network VLSI chips (JPL) under SEE (Space Environmental Effects) experiments for STRV-1b in 1994.  This is the first neural network chip and on-line learning software flown into space.

He developed and patented Bio-Inspired Visual System (unsupervised learning), Cognitive Computing Architecture (general purpose neural computing) and Self-Evolving Architecture Learning (supervised learning) for Real-Time Intelligent Perception and Cognition systems. He is passionate about developing beyond intelligent machines by combining of inspiring flexible, adaptable and contextual features of human brain and accuracy of the machine. And envisions a near future where such machines accurately transform data into information, create new knowledge (through experience and innovative thinking), effectively interpret complex situation and sophisticated perception and provide optimal decision making capabilities.

Dr. Allen Stubberud retired from the University of California system in 2003 and is currently Professor Emeritus in the Department of Electrical Engineering and Computer Science at the University of California, Irvine (UCI).  He graduated from the University of Idaho in 1956 with a B.S. degree in electrical engineering and received his M.S. and Ph.D. degrees in engineering, from the University of California, Los Angeles (UCLA), in 1958 and 1962, respectively.  Stubberud went to work for the College of Engineering (now the School of Engineering and Applied Science) at UCLA as an assistant professor in 1962, advancing to associate professor in 1967.  In 1969 he took an associate professor position in electrical engineering at the University of California, Irvine (UCI), advancing to professor in 1972.  While at UCI he has served in many administrative positions, notably Chair of the Electrical and Computer Engineering Department (now the Electrical Engineering and Computer Science Department), Associate Dean and Dean of Engineering.

Dr. Stubberud is a registered Professional Engineer in both Electrical Engineering and Control Systems Engineering (California). His academic interests lie in the areas of control systems, estimation theory, neural networks, and fuzzy logic. He is author of over 170 books, book chapters, and technical publications and over 50 technical reports on advanced signal processing techniques, including stochastic processes and estimation, neural network algorithms, genetic programming, and adaptive signal processing.

Throughout his career Stubberud has been engaged in defense related consulting. For forty years he has worked as a consultant for companies and organizations such as McDonnell-Douglas Corporation, Jet Propulsion Laboratory, Northrop Corporation, U.S. Navy (SPAWAR), Aerospace Corporation, Douglas Aircraft, and TRW Systems.  He also served for eight years on the United States Air Force Scientific Advisory Board and on two committees of the NATO Advisory Group on Aerospace Research and Development.  He has served in numerous positions with several professional/technical organizations, notably as the Director of IEEE Region 6, a member of the IEEE Board of Directors.

In 1983 Stubberud was appointed as Chief Scientist of the United States Air Force, a presidential appointment, and served for two years.  He also served for two years as the Director of the then ECSE (currently the Electrical, Communications and Cyber Systems) Division of the National Science Foundation in Washington D.C.

Stubberud is recipient of numerous awards, honors and recognition: he is a Fellow of IEEE, IAE, AAAS, AIAA and The New York Academy of Sciences.  He has received both the IEEE Centennial and Millennium Medals.  He also has twice received the highest decoration the U.S. Air Force bestows on a civilian, the U.S. Air Force Exceptional Civilian Service Decoration in 1985 and 1990.

He is the VP-Advisory to assist the company in vision and future technical direction.