Dr. P. (Peyman) Mohajerin Esfahani
Dr. P. (Peyman) Mohajerin Esfahani
Profile
Expertise
I am broadly interested in theoretical and practical aspects of decision making problems in uncertain, adversarial, and dynamic environments subject to information and complexity constraints. In my research, I use tools from Control Theory, Optimization, Machine Learning, and Information Theory.
Biography
Peyman Mohajerin Esfahani is an assistant professor at the Delft Center for Systems and Control since October 2016. Prior to joining TU Delft, he held a dual-appointment as a postdoctoral researcher at the Risk Analytics and Optimization Chair at EPFL and the Automatic Control Laboratory at ETH Zurich between 2014 and 2016. He was also a visiting research scholar at the Laboratory for Information and Decision Systems at MIT in 2015. He received the B.Sc. and M.Sc degrees in Electrical Engineering both from Sharif University of Technology, Tehran, Iran, and the PhD degree from the Automatic Control Laboratory at ETH Zurich.
Expertise
Publications
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2023
Adaptive Composite Online Optimization
Predictions in Static and Dynamic Environments
Pedro Zattoni Scroccaro / Arman Sharifi Kolarijani / Peyman Mohajerin Esfahani -
2023
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization
Viet Anh Nguyen / Soroosh Shafieezadeh-Abadeh / Daniel Kuhn / Peyman Mohajerin Esfahani
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2023
Fast Approximate Dynamic Programming for Input-Affine Dynamics
M.A. Sharifi Kolarijani / P. M. Esfahani
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2023
Multimode diagnosis for switched affine systems with noisy measurement
Jingwei Dong / Arman Sharifi Kolarijani / Peyman Mohajerin Esfahani
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2022
A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks
G. van Lagen / E. Abraham / P. Mohajerin Esfahani
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