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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2025
Robust fault estimators for nonlinear systems
An ultra-local model design
Farhad Ghanipoor / Carlos Murguia / Peyman Mohajerin Esfahani / Nathan van de Wouw -
2024
A Kernel-Based Approach to Data-Driven Actuator Fault Estimation
Mohammad Amin Sheikhi / Peyman Mohajerin Esfahani / Tamás Keviczky
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2024
A hybrid algorithm for monotone variational inequalities
R. Rahimi Baghbadorani / P. Mohajerin Esfahani / S. Grammatico
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2024
Fast Adaptive First-Order Semidefinite Programming for Data-Driven Linear Quadratic Regulation
Reza Rahimi Baghbadorani / Peyman Mohajerin Esfahani / Sergio Grammatico
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2024
Linear Time-Varying Parameter Estimation
Maximum A Posteriori Approach via Semidefinite Programming
Sasan Vakili / Mohammad Khosravi / Peyman Mohajerin Esfahani / Manuel Mazo -
Courses 2022
Courses 2021
Ancillary activities
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2023-12-01 - 2025-12-01