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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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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2022
Data-Driven Stability Verification of Homogeneous Nonlinear Systems with Unknown Dynamics
Abolfazl Lavaei / P. Mohajerin Esfahani / Majid Zamani
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2022
Distributionally Robust Inverse Covariance Estimation
The Wasserstein Shrinkage Estimator
Viet Anh Nguyen / Daniel Kuhn / Peyman Mohajerin Esfahani -
2022
Dynamic Anomaly Detection with High-fidelity Simulators
A Convex Optimization Approach
Kaikai Pan / Peter Palensky / Peyman Mohajerin Esfahani -
2022-12-28
Fast Approximate Dynamic Programming for Input-Affine Dynamics
Arman Sharifi K. / P. M. Esfahani
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Courses 2022
Courses 2021
Ancillary activities
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2022-11-07 - 2023-12-01