Hava Siegelmann Explained

Hava Siegelmann
Birth Date:	23 August 1964
Birth Place:	Haifa
Fields:	computer science, neuroscience, system biology, biomedical engineering
Workplaces:	University of Massachusetts Amherst
Alma Mater:	Rutgers University
Thesis Title:	Foundations of Recurrent Neural Networks
Thesis Url:	http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.38.920&rep=rep1&type=pdf
Thesis Year:	1993
Doctoral Advisor:	Eduardo Daniel Sontag
Known For:	Hypercomputation
Awards:	Meritorious Public Service Medal
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Hava Siegelmann is an American computer scientist and Provost Professor at the University of Massachusetts Amherst.^[1]

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 . 17756722 . 1995Sci...268..545S . 10.1126/science.268.5210.545 . 17495161 .
• Book: Siegelmann, Hava T.. Neural networks and analog computation: beyond the Turing limit. 1999. Birkhäuser. 0-8176-3949-7. Boston, Mass.. 39485184.
• Siegelmann . H.T. . Ben-Hur . A. . Fishman . S. . 1999 . Computational Complexity for Continuous Time Dynamics . Physical Review Letters . 83 . 7. 1463–1466 . 10.1103/physrevlett.83.1463. 1999PhRvL..83.1463S .

References

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