Ragavendran Gopalakrishnan

Research Scientist | Acting Area Manager - Algorithms & Optimization

Raga Gopalakrishnan is a Research Scientist and acting Research Manager in the Algorithms and Optimization area at Conduent Labs India. His research interests lie in the domains of applied algorithmic economics (game theory and mechanism design), operations research, and service science (performance modelling and queueing theory), with applications to incentivizing sustainable behavior (primarily in transportation). At Conduent Labs India, Raga has worked on projects such as Xhare-A-Ride, Electric Vehicle Infrastructure Management, and Modelling and Analytics Technology for Cooperative Apportioning of Costs and Benefits. 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 the next generation mobility solutions. Raga believes that collaboration is a key component of good research, and is interested in working with researchers and development engineers, both within Conduent, and in academia.

Prior to joining Xerox in 2015, Raga was a postdoctoral research associate at the University of Colorado Boulder in the Department of Electrical, Computer, and Energy Engineering, after having obtained his Masters and Ph. D. in Computer Science from Caltech. During this time, his focus was on utility design in distributed optimization, cost sharing mechanism design in distributed resource allocation, and systemic incentive design in multi-server service systems. Raga was a recipient of a special division fellowship from Caltech during his first year of graduate study. His research has led to 15+ publications and 4 filed patent applications. Raga has received awards for driving scientific excellence at Conduent Labs India, and for his contributions to the successful pilot of "Go Bengaluru", a multimodal trip planning app in Bangalore, India.

Apart from his research, Raga is also interested in medium-distance running, LGBT inclusion, and civil rights litigation.


• Email: Ragavendran [dot] Gopalakrishnan [at] conduent [dot] com

  • Ragavendran Gopalakrishnan, Koyel Mukherjee, and Theja Tulabandhula. “The costs and benefits of sharing: Sequential individual rationality and fairness.” Presented at the 2017 MSOM Service Operations SIG Conference. Under review for journal publication.

  • Ragavendran Gopalakrishnan, Sherwin Doroudi, Amy R. Ward, and Adam Wierman. “Routing and staffing when servers are strategic.” Journal publication in Operations Research, 2016.

  • Ragavendran Gopalakrishnan, Arpita Biswas, Alefiya Lightwala, Skanda Vasudevan, Partha Dutta, and Abhishek Tripathi. “Demand prediction and placement optimization for electric vehicle charging stations.” In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2016.

  • Arpita Biswas, Ragavendran Gopalakrishnan, and Partha Dutta. “Managing overstaying electric vehicles in park-and-charge facilities.” In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2016.

  • Jason R. Marden, Behrouz Touri, Ragavendran Gopalakrishnan, and J. Patrick O'Brien. “Impact of information in a simple multiagent collaborative task.” In Proceedings of IEEE Conference on Decision and Control (CDC), 2015.

  • Ragavendran Gopalakrishnan, Sean D. Nixon, and Jason R. Marden. “Stable utility design for distributed resource allocation.” In Proceedings of the IEEE Conference on Decision and Control (CDC), 2014.

  • Ragavendran Gopalakrishnan, Jason R. Marden, and Adam Wierman. “Potential games are necessary to ensure pure Nash equilibria in cost sharing games.” Journal publication in Mathematics of Operations Research, 2014.

  • 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.” In Proceedings of Latin American Symposium on Theoretical Informatics (LATIN), 2012.

  • Ragavendran Gopalakrishnan, Jason R. Marden, and Adam Wierman. “Characterizing distribution rules for cost sharing games.” In Proceedings of International conference on NETwork Games, COntrol and OPtimization (NetGCooP), 2011.

  • Sherwin Doroudi, Ragavendran Gopalakrishnan, and Adam Wierman. “Dispatching to incentivize fast service in multi-server queues.” In SIGMETRICS Performance Evaluation Review, 2011.

  • Ragavendran Gopalakrishnan, Jason R. Marden, and Adam Wierman. “An architectural view of game theoretic control.” In SIGMETRICS Performance Evaluation Review, 2011.

  • “Method and System for Real Time Ridesharing Management.” Patent Application Filed, 2016.

  • “Method and System for Cost Sharing in a Pooled Vehicle.” Patent Application Filed, 2016.

  • “Method and System for Managing Parking Violations by Vehicles in Parking Areas in Real-Time.” Patent Application Filed, 2016.

  • “Method of Planning for Deployment of Facilities and Apparatus Associated Therewith.” Patent Application Filed, 2016.