Milind Tambe is Helen N. and Emmett H. Jones Professor in Engineering at the University of Southern California(USC), and Professor in the Computer Science and Industrial and Systems Engineering Departments. He is a fellow of AAAI (Association for Advancement of Artificial Intelligence) (2007), fellow of ACM (Association for Computing Machinery) (2013), recipient of the ACM Autonomous Agents Research Award (2005), Christopher Columbus Fellowship Foundation Homeland security award(2010), the INFORMS Wagner prize for excellence in Operations Research practice (2012), the Rist Prize of the Military Operations Research Society (2011), IBM Faculty Award(2012), Okawa foundation faculty research award (2004), the RoboCup scientific challenge award(1999), Orange County Engineering Council Outstanding Project Achievement Award (2015), USC Associates Award for Creativity in Research (2014) and USC Viterbi School of Engineering use-inspired research award (2009).
Prof. Tambe has contributed several foundational papers in agents and multiagent systems and computational game theory; three main areas are MULTIAGENT TEAMWORK, DISTRIBUTED CONSTRAINT OPTIMIZATION (DCOP) and SECURITY GAMES. For this research, he has received the influential paper award and best paper awards at a number of premier Artificial Intelligence Conferences and workshops --- these have included International Joint Conference on AI (IJCAI), International Conference on Autonomous Agents and Multiagent Systems (AAMAS) and International Conference on Intelligent Virtual Agents (IVA) (e.g., recent best paper awards include AAMAS'2016, IAAI'2016, IJCAI'15, AAMAS'12, AAMAS'11, IVA'11, AAMAS'09). Furthermore, today, 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, by various police departments in Los Angeles, as well as by non-governmental organizations committed to wildlife conservation. This research has led him and his students to receive the US Coast Guard Meritorious Team Commendation from the Commandant(2013), US Coast Guard First District's Operational Excellence Award(2011), Certificate of Appreciation from the US Federal Air Marshals Service (2011) and special commendation given by the Los Angeles World Airports police from the city of Los Angeles(2009). Finally, his work with algorithms for exploiting social networks for HIV prevention were listed by Mashable.com in their "26 incredible innovations that improved the world in 2015".
In 2013, based on his research on security games, Prof. Tambe and team co-founded ARMORWAY Inc., a company focused on security resource optimization. He serves as a member of the board of directors and as director of research at ARMORWAY. Security games was also the focus of the MURI grant where Prof. Tambe served as the PI from 2011-2016.
For his teaching and service, Prof. Tambe has received the USC Steven B. Sample Teaching and Mentoring award (2010) and the ACM recognition of service award (2004). His service includes National Academy of Sciences panels, blue ribbon panel to review security at LAX airport and DARPA ISAT Panels. He has also served as general co-chair for AAMAS (2004), and as a member of the board of directors of IFAAMAS, the IJCAI executive committee, the board of trustees of RoboCup Robot Soccer World Cup Federation and the steering board of the Conference on Decision and Game Theory for Security (GameSec); he also served as associate editor, advisory board member and editorial board member of journals including the Journal of AI Research (JAIR), IEEE Intelligent Systems and the Journal of Autonomous Agents and Multiagent Systems (JAAMAS). Prof. Tambe received his Ph.D. from the School of Computer Science at Carnegie Mellon University.
The Teamcore group's roots are in Artificial Intelligence (AI). Our research in the past decade and longer has focused on "AI for social good", covering topics such as but not limited to: (i) AI for protection of forests, fish and wildlife; (ii) AI for public safety and security; (iii) AI for assisting low-resource sections of society. We focus on fundamental research problems in computational game theory, machine learning, automated planning, intelligent agents and multiagent interactions that are driven by these topics, ensuring a virtuous cycle of research and real-world applications.
An 8 minute talk at "AI for social good" workshop organized at the behest of the White House Office of Science and Technology
Short PAWS Protection Assistant for Wildlife Security Video; Winner Best AI Application Video AAAI'2016