PhD
Associate Professor, Industrial Engineering
Email: peyman@mie.utoronto.ca
Tel: TBD
Office: TBD
Research group: Intelligent Decision Systems & Control (IDSC)
Research Areas
Operations research: stochastic and robust programming, dynamic programming, optimization algorithms
System theory: stochastic systems, optimal control, fault detection and estimation
Learning: reinforcement learning, randomized algorithms
Applications: health-monitoring and control of large-scale and distributed engineering systems, including smart energy systems (e.g., electricity and water networks), high-tech systems (e.g., high-end printers and lithography machines), mobility and transportation (e.g., logistics and autonomous cars), and diagnosis in healthcare (e.g., epileptic seizures).
Research Interests
Decision theory under uncertainty; control theory; optimization; machine learning; information theory
Bio
Peyman Mohajerin Esfahani is an Associate Professor in the Mechanical & Industrial Engineering Department at the University of Toronto and in the Delft Center for Systems and Control at Delft University of Technology, where he is also a co-director of the Delft-AI Energy Lab. He joined TU Delft in October 2016 as an assistant professor. Prior to that, he held several research appointments at the Risk Analytics and Optimization Chair at EPFL, at the Automatic Control Laboratory at ETH Zurich, and at the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology between 2014 and 2016. He received the B.Sc. and M.Sc. degrees from Sharif University of Technology, Iran, and the PhD degree from ETH Zurich.
He currently serves as an associate editor of Operations Research, Mathematical Programming, Transactions on Automatic Control, and Open Journal of Mathematical Optimization. He was one of the three finalists for the Young Researcher Prize in Continuous Optimization awarded by the Mathematical Optimization Society in 2016. He was a recipient of the 2016 George S. Axelby Outstanding Paper Award from the IEEE Control Systems Society, an award that recognizes the best paper published in the past two years in the IEEE Transactions on Automatic Control. In 2020, he also received the ERC Starting Grant and the INFORMS Frederick W. Lanchester Prize for the best contribution to operations research and management science in the past five years. He is the recipient of the 2022 European Control Award.
