Manish Jain. Phone: +1 (213)

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1 Manish Jain Phone: +1 (213) Research Interests: Computational Game-theory, Large-scale Optimization, Real-world Security Applications, Multiagent Systems, Artificial Intelligence. EDUCATION University of Southern California, Los Angeles, California. August 2007 May Ph.D., Department of Computer Science. Advisor: Dr. Milind Tambe University of Southern California, Los Angeles, California. August 2007 Spring M.S., Computer Science. International Institute of Information Technology, Hyderabad, India. July 2003 May B. Tech. (honors), Computer Science and Engineering. AWARDS Research Awards Best Dissertation Award, Computer Science Department, Viterbi School of Engineering, University of Southern California RIST Prize, Military Operations Research Society (MORS). 2011: The RIST prize is awarded to recognize the practical benefits of sound Operations Research. Our abstract was titled Software Assistants for Patrol Planning at LAX, Federal Air Marshals Service, and Transportation Security Administration. Outstanding Research Assistant Award, Computer Science Department, Viterbi School of Engineering, University of Southern California Certificate of Appreciation, Transportation Security Administration: Federal Air Marshals Service (FAMS). 2011: The certificate was awarded in recognition and appreciation of your outstanding achievement in developing the Intelligent Randomization in Scheduling (IRIS) program to advance the mission of the Office of Law Enforcement/FAMS. Finalist, EURO Operations Research Conference Excellence in Practice Award EEPA. 2010: Our paper from the journal Interfaces was selected to be a finalist for the EEPA 2010 award. The paper was titled Software Assistants for Randomized Patrol Planning for the LAX Airport Police and the Federal Air Marshals Service. Commendation, City of Los Angeles, Los Angeles World Airports Police Department. 2009: The commendation was awarded to the team of researchers from CREATE (Center for Risk and Economic Analysis of Terrorism Events) that developed ARMOR, Assistant for Randomized Monitoring Over Routes. The commendation states To merit this commendation you have performed an exceptional service to the Airport Police Division, the Los Angeles World Airports and the city of Los Angeles. Your outstanding service facilitates the critical link between the laboratory and the operational world. Thank you for your outstanding contributions to the security of our nation.

2 Manish Jain, Page 2 of 8 Certificate of Recognition, DHS University Programs received by CREATE. 2009: The DHS Office of University Programs awarded CREATE for the outstanding contribution that ARMOR security project has made to the police operations at the Los Angeles World Airports. Finalist for Best Paper Award. 2008: Our paper was titled Deployed ARMOR Protection: The Application of a Game Theoretic Model for Security at the Los Angeles International Airport. Published in Proceedings of the Seventh International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Industry Track). National Talent Search Examination Scholarship, National Council of Education, Research and Training (NCERT), Government of India. March 2001 July 2007: The scholarship is awarded to top 1000 students in the country to pursue higher education. Service Awards Certification of Appreciation, Computer Science Department, University of Southern California. 2010: The certificate was awarded for helping in the organization of colloquiums and seminar series. FIELDED AND DEPLOYED RESEARCH Intelligent Randomization In Scheduling (IRIS). My algorithms have been in continued use by the Federal Air Marshals Service to schedule air marshals on-board passenger planes in the international sector since October Assistant for Randomized Monitoring Over Routes (ARMOR). It has been in use by the Los Angeles International Airport police to schedule checkpoints and canine patrols to protect the airport since August LIST OF PUBLICATIONS Rigorously Refereed Journal Articles 1. Manish Jain, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe. Bayesian Security Games with Arbitrary Schedules. Under revision for Journal of Artificial Intelligence Research. 2. Marcos A. M. Vieira, Matthew E. Taylor, Prateek Tandon, Manish Jain, Ramesh Govindan, Gaurav S. Sukhatme, Milind Tambe. Mitigating Multi-path Fading in a Mobile Mesh Network. In Ad Hoc Networks Journal, to appear. 3. Matthew E. Taylor, Manish Jain, Pradeep Tandon, Milind Tambe, Makoto Yokoo. Distributed On-line Multi-Agent Optimization Under Uncertainty: Balancing Exploration and Exploitation. In Advances in Complex Systems, 14(3): , Manish Jain, Jason Tsai, James Pita, Christopher Kiekintveld, Shyamsunder Rathi, Fernando Ordóñez, Milind Tambe. Software Assistants for Randomized Patrol Planning for the LAX Airport Police and the Federal Air Marshals Service. In Interfaces, 40(4): , Finalist, EURO Excellence in Practice Award EEPA James Pita, Manish Jain, Fernando Ordóñez, Milind Tambe, Sarit Kraus. Robust Solutions to Stackelberg Games: Addressing Bounded Rationality and Limited Observations in Human Cognition. In Artificial Intelligence (AIJ), 174(15): , Refereed Technical Magazine Articles 6. Manish Jain, Bo An, Milind Tambe. An Overview of Recent Application Trends at the AAMAS Conference: Security, Sustainability and Health. In AI Magazine, 2012.

3 Manish Jain, Page 3 of 8 7. James Pita, Manish Jain, Craig Western, Praveen Paruchuri, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus. Using Game Theory for Los Angeles Airport Security. In AI Magazine, Rigorously Refereed Conferences 8. Eric Shieh, Manish Jain, Albert Xin Jiang, Milind Tambe. Efficiently Solving Joint Activity Based Security Games. In Proceedings of the International Joint Conference on Articial Intelligence (IJCAI), July Manish Jain, Vincent Conitzer, Milind Tambe. Security Scheduling for Real-world Networks. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May Manish Jain, Kevin Leyton-Brown, Milind Tambe. The Deployment-to-Saturation Ratio in Security Games. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), July Ondřej Vaněk, Zhengyu Yin, Manish Jain, Branislav Bošanský, Milind Tambe, Michal Pěchouček. Game-theoretic Resource Allocation for Malicious Packet Detection in Computer Networks. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), June Zhengyu Yin, Manish Jain, Fernando Ordóñez, Milind Tambe. Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), August Manish Jain, Christopher Kiekintveld, Milind Tambe. Quality-bounded Solutions for Finite Bayesian Stackelberg Games: Scaling up. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May Manish Jain, Dmytrov Korzhyk, Ondřej Vaněk, Vincent Conitzer, Milind Tambe, Michal Pěchouček. Zero-Sum Security Games on Graphs. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May Rong Yang, Manish Jain, James Pita, Zhengyu Yin, Jun-young Kwak, Milind Tambe. Game Theory and Human Behavior: Challenges in Security and Sustainability Algorithmic Decision Theory. Invited Paper in Algorithmic Decision Theory, Manish Jain, Erim Kardes, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe. Security Games with Arbitrary Schedules: A Branch and Price Approach. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), July Matthew E. Taylor, Manish Jain, Yanqin Jin, Milind Tambe, Makoto Yokoo. When Should there be a Me in Team? Distributed Multi-Agent Optimization Under Uncertainty. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May Manish Jain, Matthew E. Taylor, Milind Tambe, Makoto Yokoo. DCOP Meets the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Nets. In Proceedings of the International Joint Conference on Articial Intelligence (IJCAI), July Christopher Kiekintveld, Manish Jain, Jason Tsai, James Pita, Fernando Ordóñez, Milind Tambe. Computing Optimal Randomized Resource Allocations for Massive Security Games. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May James Pita, Manish Jain, Milind Tambe, Fernando Ordóñez, Sarit Kraus, Reuma Magori-Cohen. Effective Solutions for Real World Stackelberg Games: When Agents must Deal with Human Uncertainties. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2009.

4 Manish Jain, Page 4 of James Pita, Manish Jain, Craig Western, Praveen Paruchuri, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus. Deployed ARMOR Protection: The Application of a Game Theoretic Model for Security at the Los Angeles International Airport. In Proceedings of the Seventh International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Industry Track), May Finalist, Best Paper Award, Industry Track. 22. Emma Bowring, Jonathan Pearce, Manish Jain, Christopher Portway, Milind Tambe. On K-Optimal Distributed Constraint Optimization Algorithms: New Bounds and Algorithms. In Proceedings of the Seventh International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), May I.V. Aprameya Rao, Manish Jain, Kamalakar Karlapalem. Towards Simulating Billions of Agents in Thousands of Seconds. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May (short paper) Full Papers in the Pipeline 24. Eric Shieh, Manish Jain, Albert Xin Jiang, Rong Yang, Milind Tambe. When Multiple Defenders Coordinate: Time-Dependent Joint Activities in Security Games. In Proceedings of the International Joint Conference on Articial Intelligence (IJCAI), January 2013 under review. Book Chapters 25. Fernando Ordóñez, Milind Tambe, Juan. F. Jara, Manish Jain, Christopher Kiekintveld, Jason Tsai. Deployed Security Games for Patrol Planning In Handbook on Operations Research for Homeland Security, Springer, Manish Jain, Bo An, Milind Tambe. Security Games Applied to Real-World: Research Contribution and Challenges In Moving Target Defense II: Application of Game Theory and Adversarial Modeling, Springer, Milind Tambe, Manish Jain. Introduction and Overview of Security Games. In Security Games: Theory, Deployed Applications, Lessons Learned, Cambridge University Press, Manish Jain, Christopher Kiekintveld, Milind Tambe, Erim Kardes, Fernando Ordóñez. Security Games with Arbitrary Schedules. In Security Games: Theory, Deployed Applications, Lessons Learned, Cambridge University Press, Christopher Kiekintveld, Manish Jain, Jason Tsai, James Pita, Fernando Ordóñez, Milind Tambe. Computing Optimal Randomized Resource Allocations for Massive Security Games. In Security Games: Theory, Deployed Applications, Lessons Learned, Cambridge University Press, James Pita, Manish Jain, Milind Tambe, Fernando Ordóñez, Sarit Kraus, Reuma Magori-Cohen. Effective Solutions for Real World Stackelberg Games: When Agents must Deal with Human Uncertainties. In Security Games: Theory, Deployed Applications, Lessons Learned, Cambridge University Press, Matthew E. Taylor, Manish Jain, Christopher Kiekintveld, Jun-young Kwak, Rong Yang, Zhengyu Yin, and Milind Tambe. Two Decades of Multiagent Teamwork Research: Past, Present, and Future. In Collaborative Agents REsearch and Development (CARE), Springer, James Pita, Manish Jain, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus. ARMOR Software: A Game Theoretic Approach for Airport Security. In Protecting Airline Passengers in the Age of Terrorism, Praeger Publishers, 2009.

5 Manish Jain, Page 5 of 8 Demos 33. James Pita, Manish Jain, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus. ARMOR Security for Los Angeles International Airport. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), July Refereed Workshop Papers 34. Eric Shieh, Manish Jain, Albert Xin Jiang, Milind Tambe. Efficiently Solving Time-Dependent Joint Activities in Security Games. In Workshop on Optimization in Multiagent Systems (OPTMAS) held at International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), May Manish Jain, Zhengyu Yin, Fernando Ordóñez, Milind Tambe. Addressing Execution and Observation Error in Security Games. In Workshop on Applied Adversarial Reasoning and Risk Modeling (AARM) held at AAAI Conference on Artificial Intelligence (AAAI), July Manish Jain, Erim Kardes, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe. Optimal Defender Allocation for Massive Security Games: A Branch and Price Approach. In Workshop on Optimization in Multi-Agent Systems (OPTMAS) held at International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), May Matthew Taylor, Manish Jain, Prateek Tandon, Milind Tambe. Using DCOPs to Balance Exploration and Exploitation in Time-Critical Domains. In Workshop on Distributed Constraints Reasoning held at AAAI Conference on Artificial Intelligence (AAAI), July Manish Jain, Matthew Taylor, Makoto Yokoo, Milind Tambe. DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks. In Workshop on Agent Technologies in Sensor Networks held at International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), May Manish Jain, James Pita, Fernando Ordóñez, Milind Tambe, Sarit Kraus, Praveen Paruchuri. Robust Solutions in Stackelberg Games: Addressing Boundedly Rational Human Preference Models. In Workshop on Advances in Preference Handling held at AAAI Conference on Artificial Intelligence (AAAI), July Symposium and Newsletter Publications 40. Milind Tambe, Manish Jain, James Pita, Albert Xin Jiang. Game Theory for Security: Key Algorithmic Principles, Deployed Systems, Lessons Learned In Proceedings of the Annual Allerton Conference on Communication, Control and Computing, October Manish Jain, Kevin Leyton-Brown, Milind Tambe. Which Security Games are Hard to Solve? In Proceedings of the AAAI 2012 Spring Symposium on Game Theory for Security, Sustainability and Health, to be held in March Bo An, Manish Jain, Milind Tambe, Christopher Kiekintveld. Mixed-Initiative Optimization in Security Games: A Preliminary Report. In Proceedings of the AAAI 2011 Spring Symposium on Help me Help you: Bridging the Gaps in Human-Agent Collaboration, March James Pita, Manish Jain, Christopher Kiekintveld, Harish Bellamane, Jason Tsai, Milind Tambe, Fernando Ordóñez. Security applications: Lessons from Real-World Deployment. In ACM SIGecom Exchanges: 8.2, December Manish Jain, James Pita, Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus. Bayesian Stackelberg Games and their Application at the Los Angeles International Airport. In ACM SIGecom Exchanges: 7.2, June 2008.

6 Manish Jain, Page 6 of 8 PROFESSIONAL ACTIVITIES Senior Program Committee member, IJCAI Program Committee member, AAAI, Reviewer for The Computer Journal (COMPJ), January Reviewer for Journal of Artificial Intelligence Research (JAIR), October Co-presenter of the tutorial on Game Theory for Security: Key Algorithmic Principles, Deployed Applications, Lessons Learned. Held at Center for Risk and Economic Analysis of Terrorism Events (CREATE), USC, September Co-organizer of the tutorial on Game Theory and Security. Held at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), June Reviewer for Artificial Intelligence (AIJ), August Co-chair of AAAI 2012 Spring Symposium on Game Theory for Security, Sustainability and Health, March Co-organizer of the tutorial on Security Games. Held at the AAAI Conference on Artificial Intelligence (AAAI), August Program Committee member of Workshop on Applied Adversarial Reasoning and Risk Modeling (AARM). Held at the AAAI Conference on Artificial Intelligence (AAAI), August Co-organizer of the tutorial on Security Games. Held at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May Co-organizer of Workshop on Use-inspired Agents and Multiagent Systems. Held at the University of Southern California, March PROPOSALS HELPED IN Towards Algorithmic Advances for Solving Stackelberg games: Addressing Model Uncertainties and Massive Game Scale-up, 4/15/10-4/15/13, approx $360, 000 Army Research Office Scalable, Stochastic and Spatiotemporal Game Theory for Real-World Human Adversarial Behavior, 6/1/11-5/31/16, approximately $7, 500, 000, Fiscal Year (FY) Department of Defense Multidisciplinary Research Program of the University Research Initiative. Game theoretic randomization with applications to Federal Air Marshals (FAMS) IV, 10/1/11-7/1/12, approx $250, 000, Federal Air Marshals Service. Game theoretic randomization with applications to Federal Air Marshals (FAMS) III, 10/1/11-7/1/12, approx $115, 000 (via the Rutgers CCICADA center from the Federal Air Marshals Service) Multiagent system under uncertainty. Submission to National Science Foundation (did not succeed). Multi-modal human-machine interaction and user modeling for adjustable autonomy. Submission of Office of Naval Research (ONR) (did not succeed). Game-theoretic randomization of security operation in urban transportation networks. Submitted with the Los Angeles Sheriff s Department (LASD) (did not succeed).

7 Manish Jain, Page 7 of 8 INVITED TALKS AND COLLOQUIA Homeland Security Modeling Simulation (HLSMS) held at Autum Simulation Multiconference, Society for Modeling and Simulation International: Game Theory and Human Behavior: Lessons learned from deployed applications, November Annual Allerton Conference on Communications, Control and Computing: Game Theory for Security: Key Algorithmic Principles, Deployed Systems, and Lessons Learned, October ARO Workshop on Moving Target Defense, George Mason University: to security: Lessons learned from deployed systems, October Game-theoretic approaches Computer Science Department, University of Texas at El Paso: Departmental seminar on Theory for Security: Algorithms and Applications, December EXPERIENCE Game ARMORWAY. September 2012 Present. Founding member, Lead Software Architect. I have experience of working, incubating and starting a company at USC. ARMORWAY develops and markets software that uses game-theoretic algorithms to intelligently randomize security resource schedules. University of Southern California, Los Angeles, California. August 2007 May Research Assistant in the Department of Computer Science with Dr. Milind Tambe. My research is on developing algorithms for strategic interaction in multiagent domains using the game-theoretic framework. Pramati Technologies, Hyderbad, India. June 2006 July Summer Intern. Worked with Mr. Ramesh Logannathan, Vice President, Pramati Technologies. Worked as a developer of in-house tools for facilitating collaboration in projects. International Institute of Information Technology, Hyderabad, India. March 2006 June 2006 Intern in the Center for Data Engineering, Department of Computer Science with Dr. Kamalakar Karlapalem. Developer of work flows in a supply chain management system tailored towards the needs of small and medium enterprises. International Institute of Information Technology, Hyderabad, India. May 2005 July Research Assistant in the Center for Data Engineering, Department of Computer Science with Dr. Kamalakar Karlapalem. Work focused on studying the design of a supply chain management system. TEACHING Guest Lecture at the University of Southern California for Freshman Academy. Instructor: Dr. Steve Bucher. Fall Guest Lecture at the University of Southern California for Freshman Academy. Instructor: Dr. Massoud Ghyam. Fall Guest Lecture at the University of Southern California for Software Multiagent Systems. Instructor: Dr. Milind Tambe. Spring Guest Lecture at the University of Southern California for Software Multiagent Systems. Instructor: Dr. Milind Tambe. Spring Teaching Assistant at the University of Southern California for Software Multiagent Systems. with Dr. Milind Tambe. Spring Teaching Assistant at the University of Southern California for Intelligent Agents and Science Fiction with Dr. Milind Tambe. Fall 2008.

8 Manish Jain, Page 8 of 8 REFERENCES Dr. Milind Tambe Helen N. and Emmett H. Jones Professor in Engineering, Professor, Computer Science & Industrial and Systems Engineering Departments, University of Southern California, 3737 Watt Way, Powell Hall of Engineering 410, Los Angeles, CA 90089, USA. tambe@usc.edu Phone: Dr. Vincent Conitzer Sally Dalton Robinson Professor of Computer Science, and Professor of Economics, Levine Science Research Center, Office D207, Box 90129, Duke University, Durham, NC 27708, USA. conitzer@cs.duke.edu Phone: Dr. Sarit Kraus Professor, Department of Computer Science, Bar-Ilan University Ramat Gan, 52900, Israel. sarit@cs.biu.ac.il Phone: Dr. Fernando Ordóñez Associate Professor of Industrial and Systems Engineering, and Associate Professor of Computer Science, University of Southern California, and Associate Professor of Industrial Engineering Department, University of Chile at Santiago, Universidad de Chile, Republica 701, Santiago, Chile. fordon@usc.edu, fordon@dii.uchile.cl Phone:

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