Sheyas Shriyam

Areas of Interest: 

Data-driven optimization for problems in automation, logistics and healthcare; Complex resource distribution networks;
Multi-agent planning and reinforcement learning

Education
  • Ph.D., University of Southern California
  • B.Tech., IIT Kanpur
Academic/Industrial Experience
  1. Assistant Professor, Mechanical Engineering, IIT Delhi, February 2020-present
  2. Graduate Research Assistant, Viterbi School of Engineering, University of Southern California, August 2016 - August 2019.
  3. Graduate Research Assistant, Department of Mechanical Engineering, University of Maryland College Park, August 2014 - August 2016.
Selected Publications
  1. Shaurya Shriyam, and Satyandra K. Gupta, “Incorporation of Contingency Tasks in Task Allocation for Multi-robot Teams”, IEEE Transactions on Automation Science and Engineering, 2019, DOI:10.1109/TASE.2019.2946688.
  2. Shaurya Shriyam, Brual C. Shah, Satyandra K. Gupta, “Decomposition of collaborative surveillance tasks for execution in marine environments by a team of unmanned surface vehicles”, Journal of Mechanisms and Robotics, April 2018, Volume 10, Issue 2, p.025007.
  3. Shaurya Shriyam, and Satyandra K. Gupta, “Modeling and verification of contingency resolution strategies for multi-robot missions using temporal logic”, International Journal of Advanced Robotic Systems, Volume 16, Issue 6, 2019.
  4. Shaurya Shriyam, and Satyandra K. Gupta, “Incorporating Potential Contingency Tasks in Multi-Robot Mission Planning”, Proceedings of IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May 2018.

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