Milind Tambe

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Milind Tambe
Tambepic half.jpg
Born
Maharashtra, India
Citizenship American
Alma mater BITS Pilani
Carnegie Mellon University
Awards AAAI Award for Artificial Intelligence for the Benefit of Humanity (2024)
AAAI 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
Fields Artificial Intelligence
Computer Science
Institutions University of Southern California
Harvard University
Thesis Eliminating combinatorics from production match  (1991)
Doctoral advisor Allen Newell
Paul Rosenbloom
Website teamcore.seas.harvard.edu/tambe

Milind Shashikant Tambe is an Indian-American educator serving as a Professor of Computer Science at Harvard University. He also serves as the director of the Center for Research on Computation and Society at Harvard University and the director of "AI for Social Good" at Google Research India.

Contents

Career

Memberships and awards

Tambe is a member of AAAI (Association for Advancement of Artificial Intelligence), [1] as well as ACM (Association for Computing Machinery). [2] He is also a recipient of the IJCAI John McCarthy Award, [3] as well as the ACM SIGART Autonomous Agents Research Award. [4] Additionally, he has been recognized by the AAAI (Association for Advancement of Artificial Intelligence)'s Robert S. Engelmore Memorial Lecture Award and the Christopher Columbus Fellowship Foundation Homeland Security Award. He has also received the Distinguished Alumnus Award from Birla Institute of Technology and Science (BITS). [5]

Previous Positions

Previous to his position at Harvard and Google, he was a Professor of Engineering and a Professor of Computer Science and Industrial and Systems Engineering at the University of Southern California, Los Angeles. [6]

Research

In terms of public safety and security, the security games framework that Professor 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. More specifically, Professor Tambe and team provided the first-ever applications of computational game theory for operational security. The first of these deployments was the ARMOR system of game-theoretic algorithms for security (e.g., counterterrorism) which started operating at the Los Angeles LAX airport in 2007, deployed by the LAX police division. [7] This work was followed by pioneering deployments of security games for major security agencies such as the Federal Air Marshals Service, [8] the US Coast Guard [9] and the Transportation Security Administration. [10] This research is credited with more than $100 million in savings to U.S. agencies. [11]

In terms of AI for conservation, Tambe and team were the first to apply AI models, specifically machine learning and game theory, for global scale anti-poaching efforts, as part of the PAWS project for wildlife conservation. The PAWS AI system has been deployed in collaboration with wildlife conservation agencies to assist rangers around the world. PAWS has helped rangers in removing 10s of 1000s of traps used to kill endangered wildlife in national parks in countries such Cambodia and Uganda. [12] Furthermore, PAWS is integrated with the SMART software, making PAWS available for use at 100s of national parks around the globe. [13]

Tambe and his team also provided the first large scale applications of social network algorithms for public health.[ citation needed ] For example, in a recently completed study with 700 youth experiencing homelessness, Tambe and team's algorithms led to a significant reduction in HIV risk behaviors compared to traditional approaches.[ citation needed ] Other examples include research in collaboration with NGOs for improving maternal health care outcomes, TB prevention and others.[ citation needed ]

Bibliography

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 Society Archived 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. ↑ "BITS Pilani Distinguished Alumnus Awards 2020".
  6. ↑ "Milind Tambe". University of Southern California, Los Angeles. Archived from the original on 2011-08-28. Retrieved 2012-01-02.
  7. ↑ "A Random Weapon in the War on Terror". Newsweek. Retrieved January 2, 2012.
  8. ↑ "A Tool for Strategic Security Allocation in Transportation Networks" (PDF). AAMAS (International Conference on Autonomous Agents and Multiagent Systems). Retrieved January 2, 2012.
  9. ↑ "Randomizing Boston Harbor security patrols" (Press release). Homeland Security News Wire. Retrieved January 2, 2012.
  10. ↑ Hamill, Sean D. (August 2, 2010). "Research on poker a good deal for airport security". post-gazette. Retrieved January 2, 2012.
  11. ↑ Winterfeldt, Detlof; Farrow, R. Scott; John, Richard S.; Eyer, Jonathan; Rose, Adam Z.; Rosoff, Heather (2020). "Assessing the Benefits and Costs of Homeland Security Research: A Risk-Informed Methodology with Applications for the US Coast Guard" . Risk Analysis. 40 (3). Risk Analysis: An international Journal: 450–475. Bibcode:2020RiskA..40..450V. doi:10.1111/risa.13403. PMID   31613022. S2CID   204703326 . Retrieved August 29, 2021.
  12. ↑ "This AI hunts poachers". 6 January 2018.
  13. ↑ "Preventing Poaching".
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