Mohammad Rasouli






UPDATE: I have moved to Stanford University where I am a post doctoral scholar in the Management Science and Engineering Department working with Prof. Peter Glynn, Prof. Ramesh Johari, and Prof. Ram Rajagopal. I am a member of Stanford Social Algorithms Lab. I collaborate with Stanford Sustainable Systems Lab (S3L) and run the Stanford SmartGrid Seminar. I have also had the opportunity to collaborate with Prof. Gabriel Weintraub in lecturing GSB OIT648: Empirics of Online Markets.

My research interest has been in using theory and data in addressing social inequality and discrimination focusing on online platforms, and addressing sustainability challenges focusing on energy sector. I use mechanism design, machine learning and causal inference, empirical I/O, and stochastic control. I also particularly enjoy teaching, see our experimental paper with flipped teaching to ~650 students! My new website is under construction. Stay tuned! Meanwhile you can contact me at
rasoulim at stanford dot edu



In 2018, I graduated from PhD program in Electrical Engineering: Systems at the University of Michigan working with Prof. Demosthenis Teneketzis, where I also followed my MSc in Economics. I am thrilled to worked with Prof. Paul Milgrom, Prof. William Hogan , and Prof. Asuman Ozdaglar as committee members of my thesis on markets for sustainable electricity network. Prior to PhD, I received BSc in Electrical Engineering: Communications from Sharif University of Technology working with Prof. Jamal Golestani.

Mechanism Design

Economizing the Uneconomic: Markets for Reliable, Sustainable, and Price Efficient Electricity , M. Rasouli, D. Teneketzis, Major Revision in Operations Research.

An Efficient Market Design for Electricity Networks with Strategic Users Possessing Local Information , M. Rasouli, D. Teneketzis, IEEE Trans. on Control of Network Systems, Accepted.

Empirical IO

Contract Design for Electricity Cloud Storage: A Structural Approach , M. Rasouli, P. Somaini, R. Rajagopal, Working Paper.

Machine Learning and Causal Inference

Adaptive Experimental Design with Temporal Interference , M. Rasouli, P. Glynn, R. Johari, Submitted.

Stochastic Control

Robust Partially Observable Markov Decision Processes, M. Rasouli, S. Saghafian, Submitted.

Worst-Case Guarantees for Remote Estimation of an Uncertain Source, M. Gagrani, Y. Ouyang, M. Rasouli, A. Nayyar, IEEE Trans on Automatic Control, Conditionally accepted.

[ Book Chapter ] A Scalable Decomposition Method for the Dynamic Defense of Cyber Networks , M. Rasouli, E. Miehling, D. Teneketzis, in Game Theory for Security and Risk Management: From Theory to Practice, Springer/Birkhauser series on Static & Dynamic Game Theory: Foundations and Applications, 2017.

A POMDP Approach to the Dynamic Defense of Large-Scale Cyber Networks , E. Miehling, M. Rasouli, D. Teneketzis, IEEE Trans on Information Forensics & Security, vol. 13, no. 10, 2018.

Research Nostalgia!

Spectral Estimation by Computationally Reduced Kalman Filter , R. Kazemi, M. Rasouli, F. Behnia, Springer Journal of Circuits, Systems, and Signal Processing, vol. 31, no. 6, 2012.

A Game-Theoretic Framework for Studying Dynamics of Multi Decision-maker Systems , M. Rasouli, 28th International Conference of the System Dynamics Society, Seoul, SK, Jul. 2010.

Privatization: Iran Power Industry as a Case Study , M. Rasouli, M. Jalalian, A. Hasanpoor, M. Tavazoei and R. Kazemi, 27th International Conference of the System Dynamics Society, Albuquerque, New Mexico, Jul. 2009.