1. Electricity markets: We are designing market mechanisms for generators and load serving entities to bid profitably and mitigate risks in markets with deep renewable integration.
  2. Security of cyberphysical systems: We are exploiting game theoretic methods to compute best decision rules for autonomous control systems under cyber attacks.
  3. Game theory: We are developing an understanding of the effect of information on equilibrium values in dynamic games of asymmetric information.
  4. Machine learning for autonomous cars: We are designing reinforcement learning based methods for optimizing fuel consumption of autonomous vehicles. The key idea is to exploit the V2V and V2I information to compute best velocity profile to minimize fuel consumption.
  5. Multimodal Transportation markets: We are using cooperative game theory to understand equilibrium in the future multimodal transportation markets.

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