Raga joined XRCI as a Research Scientist in the Algorithms and Optimization area at XRCI in April 2015. His interests lie in the domain of applied algorithmic game theory. His recent focus has been on applying the game-theoretic framework to utility design in distributed optimization, cost sharing mechanism design in distributed resource allocation, and systemic incentive design in multi-server service systems. His research emphasizes a rigorous approach to performance modelling through theoretical analysis.
At Xerox, Raga is working on a central cost sharing problem that arises in the design of ridesharing systems. His broader vision is to work on key optimization problems in resource allocation/utilization that arise when confronting the challenges associated with building a sustainable future, and is excited about the opportunities at Xerox in working towards this vision, especially in the healthcare and transportation domains. Raga believes that collaboration is a key component of good research, and is interested in working with researchers both in Xerox Research Centres, as well as in Academia.
Prior to joining XRCI, Raga was a postdoctoral research associate at the University of Colorado Boulder in the Department of Electrical, Computer, and Energy Engineering. He obtained his B. Tech. in Computer Science and Engineering from IIT Madras in 2008, and his Masters and Ph. D. in Computer Science from Caltech in 2010 and 2013 respectively. Raga was a recipient of a special division fellowship from Caltech during his first year of graduate study.
In his spare time, Raga enjoys long distance running (he has been running a half-marathon every year since 2012) and catching up on recent civil rights litigation (discrimination in employment and public accommodations) in the United States, reading legal opinions on US Constitutional Law, especially the Fourteenth Amendment.
1. Ragavendran Gopalakrishnan, Sherwin Doroudi, Amy R. Ward, and Adam Wierman, “Routing and staffing when servers are strategic,” Operations Research, 2015. (Forthcoming.) Also presented at the 15th ACM Conference on Economics and Computation (EC), 2014, and the Manufacturing & Service Operations Management (MSOM) Service Management SIG (Special Interest Group) Conference, 2014.
2. Ragavendran Gopalakrishnan, Sean D. Nixon, and Jason R. Marden, “Stable utility design for distributed resource allocation,” 53rd Annual Conference on Decision and Control (CDC), 2014.
3. Ragavendran Gopalakrishnan, Jason R. Marden, and Adam Wierman, “Potential games are necessary to ensure pure Nash equilibria in cost sharing games,” Mathematics of Operations Research, 2014. Also presented at the 14th ACM Conference on Electronic Commerce (EC), 2013.
4. Ragavendran Gopalakrishnan, Dimitrios Kanoulas, Naga Naresh Karuturi, C. Pandu Rangan, Rajmohan Rajaraman, and Ravi Sundaram, “Cache me if you can: Capacitated selfish replication in networks,” 10th Latin American Symposium on Theoretical Informatics (LATIN), 2012.
5. Ragavendran Gopalakrishnan, Jason R. Marden, and Adam Wierman, “An architectural view of game theoretic control,” SIGMETRICS Performance Evaluation Review, 2011. Also presented at the 3rd Workshop on Hot Topics in Measurement and Modelling of Computer Systems (HotMetrics), 2010.
Raga can be contacted at Ragavendran.Gopalakrishnan@xerox.com