Hava_Siegelmann

Hava Siegelmann

Hava Siegelmann

Computer scientist

Hava Siegelmann is an American computer scientist and Provost Professor at the University of Massachusetts Amherst.[1]

Quick Facts Born, Alma mater ...

Biography

Siegelmann earned her Ph.D. in Computer Science at Rutgers University (1993) under Eduardo Sontag. Her dissertation was on the topic of Hypercomputation.[2] She earned an M.Sc. in Computer Science at Hebrew University (1992) and a B.A. in Computer Science at the Technion (1988).

Siegelmann was a program manager of several DARPA AI programs including Lifelong Learning Machines,[3] Guaranteeing AI Robustness Against Deception,[4] and Cooperative Secure Learning.[5] DARPA/DoD awarded her with the Meritorious Public Service Medal for her research and leadership.[6]

Selected publications

  • Ben-Hur, A.; Horn, D.; Siegelmann, H.T.; Vapnik, V. (2001). "Support vector clustering". Journal of Machine Learning Research. 2: 125–137.
  • Siegelmann, H.T. (1995). "Computation Beyond the Turing Limit". Science. 238 (28): 632–637. Bibcode:1995Sci...268..545S. doi:10.1126/science.268.5210.545. PMID 17756722. S2CID 17495161.
  • Siegelmann, Hava T. (1999). Neural networks and analog computation: beyond the Turing limit. Boston, Mass.: Birkhäuser. ISBN 0-8176-3949-7. OCLC 39485184.
  • Siegelmann, H.T.; Ben-Hur, A.; Fishman, S. (1999). "Computational Complexity for Continuous Time Dynamics". Physical Review Letters. 83 (7): 1463–1466. Bibcode:1999PhRvL..83.1463S. doi:10.1103/physrevlett.83.1463.

References

  1. [1]
    "Hava T. Siegelmann". Manning College of Information & Computer Sciences. University of Massachusetts Amherst. 20 February 2008. Retrieved 2023-08-05.
  2. [2]
    Siegelman, Hava (1993). Foundations of Recurrent Neural Networks (PhD thesis). Rutgers University.
  3. [3]
    "Lifelong Learning Machines (L2M) (Archived)". www.darpa.mil. Retrieved 2023-09-23.
  4. [4]
    "Guaranteeing AI Robustness Against Deception (GARD)". www.darpa.mil. Retrieved 2023-09-23.
  5. [5]
    "Cooperative Secure Learning (CSL) (Archived)". www.darpa.mil. Retrieved 2023-09-23.
  6. [6]
    "DARPA Recognizes UMass Professor Hava Siegelmann for Major Advances in AI" (Press release).
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