Dr. P. (Peyman) Mohajerin Esfahani
Dr. P. (Peyman) Mohajerin Esfahani
Profile
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
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.
Expertise
Publications
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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
Learning for Control
An Inverse Optimization Approach
Syed Adnan Akhtar / Arman Sharifi Kolarijani / Peyman Mohajerin Esfahani -
2022-4-13
Multiple Faults Estimation in Dynamical Systems
Tractable Design and Performance Bounds
Chris Van der Ploeg / Mohsen Alirezaei / Nathan Van De Wouw / Peyman Mohajerin Esfahani -
2022
Real-time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems
Chris van der Ploeg / Emilia Silvas / Nathan van de Wouw / Peyman Mohajerin Esfahani
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