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Game-Theoretic Allocation of Limited Resources: Applications to Security Domains

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  • Visitor Seminars
When Oct 25, 2013
from 12:00 PM to 02:00 PM
Where Engr. IV Bldg., Faraday Room 67-124
Contact Name
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Manish Jain  




Scheduling limited resources to secure potential attack targets is a global challenge faced by many agencies around the world, problem settings ranging from protection of physical infrastructure to cyber-security. The scheduling problem is made more difficult due to the presence of intelligent adversaries capable of conducting surveillance, as well as inherent uncertainties and complexities of the real world.

My research has focused on developing game-theoretic models and algorithms that can compute solutions for large-scale real-world problems. These new models have not only advanced the state of the art, but have also been transitioned into real-world applications. For instance, I have developed algorithms for the IRIS system that is used by the Federal Air Marshals Service (FAMS) to schedule air marshals aboard international commercial flights. I will discuss these algorithms and deployed applications in this talk.


Manish Jain completed his PhD from the Department of Computer Science at the University of Southern California in August 2013. His work is the recipient of the RIST Prize by the Military Operations Research Society, and a finalist for the EURO excellence in Practice award. He has also won the best Dissertation award from the CS Department at the University of Southern California. He is the Co-founder and Senior Software Engineer at Armorway, a company which develops products for intelligent optimized security allocations in domains ranging from physical infrastructure to computer networks.

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