ADAPTIVECOMPUTATION.COM - Key Persons

Job Titles:

• Chief Scientist of the United States Air Force
• Registered Professional Engineer

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.

Nam Trang, Ph.D., received B.S. from the University of California, Irvine in Computer Science and Mathematics and Ph.D. from the University of California, Berkeley in Mathematics. He has been in research and teaching in mathematics and machine learning and serves as a sole principal investigator for several NSF grants and an NSF career award. He has also been active in giving lectures in US and International Meetings and Universities in the fields. At Adaptive Computation LLC, Nam Trang serves as a Vice President in Data Science, where his skill can be the most effective.

Robert A. Lieberman, Ph.D., received both his B.S. and M.S. in Physics at Rensselaer Polytechnic Institute. From the University of Michigan, he received a Ph.D. in Physics with an emphasis on solid-state physics and biophysics. After receiving his doctorate, Dr. Lieberman joined AT&T Bell Laboratories where he was a Member of the Technical Staff for ten years, working first in the Development Area on semiconductor and magnetic devices, and then in the Research Area on fiber optic biological, chemical, and physical sensors. Dr. Lieberman joined Physical Optics Corporation (POC) in 1991 as the Director of POC's Advanced Fiber Optics Laboratory, and rose to become General Manager of Research and Development in 1996. In 1998 he founded Intelligent Optical Systems (IOS) where he served as President until 2014. During that time, IOS spun off Optinetrics LLC ($25M venture capital), Maven Technologies ($6M private capital), LEDI LLC ($2M private capital), Optical Security Sensing LLC (commercializing $18M aggregate non-SBIR Federal funding), and held several Board, executive-level, and advisory positions in each. He has been Principal Investigator on projects for a wide spectrum of government agencies, holds 34 U.S. patents, and has chaired dozens of conferences on sensing and sensor technology. Dr. Lieberman served as the 2016 President SPIE, the international society for optics and photonics, and is the President of ADC LLC. Dr. Lieberman was elected to membership in the U.S. National Academy of Engineering (NAE) in 2018.

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 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.