معرفی
Hava Siegelmann is a Provost Professor in the Department of Computer Science at the University of Massachusetts Amherst. She is a core member of the UMass Neuroscience and Behavior Program and directs the Biologically Inspired Neural & Dynamical Systems (BINDS) Laboratory. Siegelmann's research focuses on bio-inspired artificial intelligence, neural networks, and lifelong learning algorithms.
- PhD, Computer Science, Rutgers University
- MSc, Computer Science, Hebrew University
- BA, Computer Science, the Technion
Her work bridges theoretical computer science, neuroscience, and machine learning, with groundbreaking contributions to computation beyond the Turing limit and the co-invention of the Support Vector Clustering (SVC) algorithm. Siegelmann's research explores dual fractal structures in the brain, cognitive abstraction mechanisms, and robust AI systems resistant to attacks.
At DARPA, she led transformative programs such as Lifelong Learning Machines (L2M), GARD (robust AI), and CSL (privacy-preserving collaborative AI), earning the Meritorious Public Service Medal for her leadership. She has served as a visiting professor at MIT, Harvard, Weizmann Institute, ETH, Salk Institute, MSRI Berkeley, and Cambridge's Newton Institute.
- Obama Presidential BRAIN Initiative award
- ALON fellowship
- Donald O. Hebb Award (INNS)
- DARPA Meritorious Public Service Medal
- IEEE Fellow
- INNS Fellow
Siegelmann co-founded the INNS Diversity Committee and co-chairs UMass' Diversity Council of the University Senate. She currently serves on the IEEE Neural Network Technical Committee, Outstanding PhD Dissertation Award committee, and Task Force on Ethical and Social Implications of Computational Intelligence.
