Milind Tambe

Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research on Computation and Society at Harvard University; he is also Director "AI for Social Good" at Google Research India. He is a fellow of AAAI (Association for Advancement of Artificial Intelligence),[1] ACM (Association for Computing Machinery)[2] and has received the IJCAI John McCarthy Award,[3] as well asACM SIGART Autonomous Agents Research Award.[4]

Milind Tambe
Born
Maharashtra, India
CitizenshipAmerican
Alma materCarnegie Mellon University
Birla Institute of Technology and Science, Pilani
AwardsAAAI Robert S Engelmore Award (2019)
IJCAI John McCarthy Award (2018)
ACM Fellow (2013)
AAAI Fellow (2007)
ACM SIGART Autonomous Agents Research Award (2005)
Scientific career
FieldsArtificial Intelligence
Computer Science
InstitutionsHarvard University
ThesisEliminating combinatorics from production match (1991)
Doctoral advisorAllen Newell
Paul Rosenbloom
Websiteteamcore.seas.harvard.edu/tambe

Previous to his position at Harvard and Google, he was Helen N. and Emmett H. Jones Professor in Engineering and a Professor of Computer Science and Industrial and Systems Engineering at the University of Southern California, Los Angeles.[5]

Milind Tambe’s research focuses on advancing AI and multi-agent systems research for social good. Examples of topics he has worked on include: (i) AI for the protection of endangered wildlife, forests and fisheries; (iii) AI for public health and social work; and (iii) AI for public safety and security. His research focuses on fundamental problems in computational game theory, machine learning, automated planning, intelligent agents, and multi-agent interactions that are driven by these topics, ensuring a virtuous cycle of research and real-world applications. In terms of public safety and security, the security games framework that Prof. Tambe pioneered has been deployed and tested for security optimization, both nationally and internationally, by agencies such as the US Coast Guard and the Federal Air Marshals Service; and this framework is also at the basis of PAWS (Protection Assistant for Wildlife Security) that is in use by NGOs for protecting endangered wildlife. More specifically, his algorithms have been deployed by USA security agencies such as LAX police division,[6] the Federal Air Marshals Service,[7] the US Coast Guard[8] and the Transportation Security Administration.[9]

Bibliography
  • Artificial Intelligence and Social Work (with E. Rice) Artificial Intelligence and Social Work, 2018. Cambridge University Press ISBN 1-108-42599-2
  • Security and Game Theory: Algorithms, Deployed Systems, Lessons Learned (1st edition) 2011. Cambridge University Press, ISBN 1-107-09642-1
  • Keep the Adversary Guessing: Agent Security by Policy Randomization 2008. VDM Verlag Dr. Mueller e.K., ISBN 3-639-01925-3

References
  1. "Elected AAAI Fellows". AAAI (Association for Advancement of Artificial Intelligence). Retrieved January 2, 2012.
  2. ACM Names Fellows for Computing Advances that Are Transforming Science and SocietyArchived 2014-07-22 at the Wayback Machine, Association for Computing Machinery, accessed 2013-12-10.
  3. IJCAI Awards
  4. "The ACM SIGART Autonomous Agents Research Award". ACM/SIGART. Retrieved January 2, 2012.
  5. "Milind Tambe". USC (University of Southern California, Los Angeles. Archived from the original on 2011-08-28. Retrieved 2012-01-02.
  6. "A Random Weapon in the War on Terror". Newsweek. Retrieved January 2, 2012.
  7. "A Tool for Strategic Security Allocation in Transportation Networks" (PDF). AAMAS (International Conference on Autonomous Agents and Multiagent Systems). Retrieved January 2, 2012.
  8. "Randomizing Boston Harbor security patrols". Homeland Security News Wire. Retrieved January 2, 2012.
  9. Hamill, Sean D. (August 2, 2010). "Research on poker a good deal for airport security". post-gazette. Retrieved January 2, 2012.

Home page: Milind Tambe

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