Interests
Biological and physical computation, neural computation, adaptive
information systems, machine learning and knowledge discovery, theory
of analog and adaptive systems, bioinformatics, circadian rhythms in
biology and models, as well as cognition and perception.
Biography
Ph.D., Computer Science, Rutgers University (1993), M.Sc., Computer Science, Hebrew University (1992), B.A., Computer Science, the Technion (1988). Professor Siegelmann joined the faulty of the Department of Computer Science as an Assistant Professor in 2001. Before joining UMass Amherst, she was on the faculty of Industrial Engineering and Management at the Technion and served as the head of Information Systems Engineering.
Research
Professor Siegelmann specializes in biologically motivated information processing systems, including neural networks and evolutionary algorithms, and in alternative models of computation (such as analog, distributed, and stochastic dynamics) that are relevant to natural systems. Her research involves theoretical aspects, development of novel algorithms, and various industrial and medical applications.
Awards & Activities
Professor Siegelmann was a 1995-1997 ALON Fellow (Israeli Presidential Young Investigator). She has also published in a variety of prestigious journals, including Science, Theoretical Computer Science, the Journal of Computer and Systems Science, IEEE Transactions on Information Theory, IEEE Transactions on Systems Man and Cybernetics, and IEEE Transactions on Neural Networks. She has given numerous invited talks throughout her career and is very active in the research community and has served on many conference committees. In addition, she is working vigorously to advance women in science with a goal of bringing in more women undergraduate and graduate students and new faculty.
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