Janusz A. Starzyk received an M.S. degree in applied mathematics and his Ph.D. degree in electrical engineering from Warsaw University of Technology, Warsaw, Poland. From 1977 to 1981 he was an Assistant Professor at the Institute of Electronics Fundamentals, Warsaw University of Technology, Warsaw, Poland. From 1981 to 1983 he was a Post-Doctorate Fellow and research engineer at McMaster University, Hamilton, Canada. In 1983 he joined the Department of Electrical and Computer Engineering, Ohio University, Athens, Ohio, where he is currently a professor of EECS.
He has cooperated with the National Institute of Standards and Technology. He has been a consultant to ATT Bell Laboratories, Sarnoff Research, Sverdrup Technology, Magnolia Broadband, and Magnetek Corp. In 1991 he was a visiting professor at University of Florence, Italy. He was a visiting researcher at Redstone Arsenal - U.S. Army Test, Measurement, and Diagnostic Activity and at Wright Labs - Advanced Systems Research and ATR Technology Development.
He is an author or a coauthor of over 170 refereed journal and conference papers. Since 1993 he is the president of Artificial Neural Systems incorporated in Ohio. His current research is in the areas of embodied intelligence, sparse hierarchically organized spatio-temporal memories, self-organizing learning machines, and neural networks.
Research Activities
Intelligent Systems Research Group
We are interested in developing computational models of embodied intelligence by developing biologically plausible learning algorithms for signal processing in self-organized learning networks of processing components (artificial neurons). The aim is to develop self-organizing architectures for future computers and intelligent machines.
Embodied intelligence emerges gradually in real-time interaction with environment within the constraints of its processing power, sensory inputs, motor outputs and environmental changes. In our study we aim at developing brain-like processing and learning that may lead to creation of intelligent machines. We have proposed to combine sensory and motor activities with goal creation and goal driven behavior. We develop models for sparse pattern representation, attention driven cognition, spatio-temporal memories, and goal driven action planning and execution. We aim at developing neuronal foundation for knowledge, thinking, deliberation, reasoning, and emotion.
