Complex dynamical systems, Biological computation, Computational neuroscience, intelligent systems, Super-Turing computation, Human-robot interface, Bio-computation.
Ph.D., Computer Science, Rutgers University (1993, Fellow of excellence), M.Sc., Computer Science, Hebrew University (1992, Cum Laude), B.A., Computer Science, the Technion (1988, Suma Cum Laude). Professor Siegelmann joined the Computer Science Department at the UMass Amherst as an Associate Professor in 2001, and is currently a Professor and the director of the BINDS lab. She is also a Core Faculty member of the Neuroscience and Behavior Program. Before joining UMass, she was on the faculty of Industrial Engineering and Management at the Technion and served as the head of Information Systems Engineering. She has been a visiting professor at MIT and Harvard University.
Dr. Siegelmann, a recognized expert in Complex Systems and Neural Networks, focuses on theoretical computational neuroscience, computation in and modeling of natural systems and their application to intelligent systems. Of particular research interest are intelligence vis-à-vis adaptive memory, advanced models of cognition, and evolving, intelligent interfaces for robotics and other intelligent systems. Her studies often involve multi-scale modeling and system level analysis of major disorders such as cancer. The creator of a new field of computer science, Super-Turing computation, Dr. Siegelmann is applying the theory to biological systems and exploring them in connection with a new generation of analog computer.
Awards & Activities
Professor Siegelmann has been active in the International Neural Networks Society, serving on the Elected Board of Governors since 2012, she recently served as the Program Chair of the International Joint Conference on Neural Networks (IJCNN), 2011. She currently also serves as the Vice Chair on the Neural Network Technical Committee (NNTC) of the IEEE Computational Intelligence Society (CIS) as well as a Task Force member in “Towards Human-like Intelligence” under the IEEE CIS. Professor Siegelmann is an associate editor of the Journals Neural Networks and Frontiers in Computational Neuroscience, and she serves on the advisory board of the American Institute of Physics Journal, Chaos. She was named a partner of the Weizmann Institute (2008).