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Over ons Praktische zaken Waar vindt u ons A.K. (Ashish) Cherukuri, Dr

Research interests

The research of Asst. Prof. Dr. Cherukuri spans across topics of optimization, optimazation-based control, and game theory, applied to network and multi-agent systems. The application areas range from energy networks, transportation networks to robotics. A special emphasis is on problems involving uncertainty and handling them using data-driven optimization and learning methods.

Publicaties

The role of convexity in saddle-point dynamics: Lyapunov function and robustness

Saddle-point dynamics: Conditions for asymptotic stability of saddle points

Iterative Bidding in Electricity Markets: Rationality and Robustness

A two-step approach to Wasserstein distributionally robust chance- and security-constrained dispatch

Dynamic Interventions With Limited Knowledge in Network Games

Sample average approximation of conditional value-at-risk based variational inequalities

Cross Apprenticeship Learning Framework: Properties and Solution Approaches

Data-driven distributionally robust optimization over a network via distributed semi-infinite programming

Wasserstein Distributionally Robust Risk-Constrained Iterative MPC for Motion Planning: Computationally Efficient Approximations

Adaptive Interventions for Social Welfare Maximization in Network Games

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