Short Bio

Sarit Kraus (Ph.D. Computer Science, Hebrew University, 1989) is a Professor of Computer Science at Bar-Ilan University and an Adjunct Professor at the University of Maryland. Her research is focused on intelligent agents and multi-agent systems (including people and robots).

Kraus was awarded the IJCAI Computers and Thought Award, ACM SIGART Agents Research award, the EMET prize and was twice the winner of the IFAAMAS influential paper award. She is AAAI, ECCAI and ACM fellow and a recipient of the advanced ERC grant.

Research Interests

My main research interest in Artificial Intelligence and in particular Multi-agent systems is in understanding how we can best create intelligent agents that can interact proficiently with people. We study both cooperative and conflicting scenarios. I consider modeling human behavior and predicting their decisions to be necessary for facing these challenges, as well as the development of formal models for the agent’s decision-making. Thus, my research studies build on methods and algorithms from Machine Learning, Decision Theory and Game Theory, non-classical logic, optimization under uncertainty and psychology.

My application domains have included physical security, intelligent cars, human training, recommendation systems, automated negotiations and mediation, virtual humans and rehabilitation.

Contact Me

Business Address Dept. of Computer Science
Bar-Ilan University Ramat Gan, 52900
Israel
Office Building 109 Room 041 (next to Communication)
Phone (972) 3-531-8762
Fax (972) 3-5352184
E-mail sarit@cs.biu.ac.il
my picture

Recent News

  • Sarit Kraus elected 2014 ACM Fellow.

  • Best paper award of AAAI-15 Blue Sky track: S. Kraus. Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients.

  • A new book:
    S. Fatima S. Kraus and M. Wooldridge. Principles of Automated Negotiation, Cambridge University Press, November, 2014.
    see here
    book
  • "Onn Shehory and Sarit Kraus. Methods for task allocation via agent coalition formation. Artificial Intelligence,
    vol. 101(1-2): 165-200, 1998"
    is the winner of 2014 IFAAMAS influential paper award.