"If we knew what it was we were doing, it would not be called research, would it?"
-Albert Einstein

Current Research Direction

Vehicle Routing

My current research interest lies in the intersection of Machine Learning, Computer Vision and Game Theory. I am currently working on using Semantic information to improve robot navigation, goal detection and grasp improvement.

My previous research direction is aimed at alleviating the traffic congestion by adapting the node pressure concept into the traffic management. In particular, the study is aimed at developing Multi-agent Vehicle Routing Systems which communicate and coordinate with each other deciding the best routes collectively, thereby reducing traffic in the network and improving the duration of time spent by the drivers on the road.

Talks & Presentations

URECA Poster Competition

  1. International Conference of Undergraduate Research (ICUR) conference, Monash University, Australia. October 2016
  2. URECA Poster Presentation Competition, Nanyang Technological University, Singapore. March 2017.
  3. International Transportation Systems Conference, Tokyo, Japan. October 2017.
  4. HPXCL: Asynchronous integration of GPU computing with HPX many task processing, FOSSASIA Summit, Singapore. March 2018.

List of Publications


  1. Madhavan Seshadri; System, method, and computer program product for machine-learning-based traffic prediction. Filed by Visa International Service Association. 2018. Link To Paper
  2. Madhavan Seshadri; Augmented reality based gamification for location-based man-machine interactions. Filed by Visa International Service Association. 2018. Link To Paper


  1. Madhavan Seshadri, Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath; Multiagent-based Cooperative Vehicle Routing Using Node Pressure and Auctions, IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017 (Link to Paper)


  1. Hongliang Guo, Zhiguang Cao, Madhavan Seshadri, Jie Zhang, Dusit Niyato, and Ulrich Fastenrath; Routing Multiple Vehicles in Large Scale Networks: Minimizing Road Network Breakdown Probability. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2017. (Link to Paper)


  1. Madhavan Seshadri, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath; Multiagent Cooperative Routing: Aligning both Infrastructure and Vehicle Agents. Presented in TRANSportation applications of Equilibrium, incentives and game Theory (TRANSET), 2016. Workshop was co-located with the AAMAS-2016 Conference in the AAMAS Workshop Series. (Link to Paper)
  2. Patrick Diehl, Madhavan Seshadri, Thomas Heller, and Hartmut Kaiser; "Integration of CUDA Processing within the C++ Library for Parallelism and Concurrency (HPX)." In 2018 IEEE/ACM 4th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2), pp. 19-28. IEEE, 2018. Link To Paper

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