Mohamad Sadegh Shirani Faradonbeh

Mohamad Sadegh Shirani Faradonbeh
PhD Student, Operations, Information & Technology
LinkedIn Google Scholar
PhD Program Office Graduate School of Business Stanford University 655 Knight Way Stanford, CA 94305

Mohamad Sadegh Shirani Faradonbeh

Faculty Advisors

Mohsen Bayati

Research Interests

  • Causal inference
  • High dimensional statistics
  • Reinforcement learning
  • Stochastic control

Publications

Thompson Sampling Efficiently Learns to Control Diffusion Processes
with M. K. S. Faradonbeh and M. Bayati, Neural Information Processing Systems (NeurIPS), 2022.

Departure Time Choice Models in Urban Transportation Systems Based on Mean Field Games
with M. Ameli, JP Lebacque, H. Abouee-Mehrizi, L. Leclercq, Transportation Science 56(6):1483-1504, 2022.

TSL Urban Transportation SIG Best Paper Award 2022

Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems
with M. K. S. Faradonbeh, IFAC International Workshop on Adaptive and Learning Control Systems (ALCOS 2022)

Mean Field Games Framework to Departure Time Choice Equilibrium in Urban Traffic Networks
with M. Ameli, JP. Lebacque, H. Abouee-Mehrizi, L. Leclercq, TRB 2021, Transportation Research Board 100th Annual Meeting-A Virtual Event

Working Papers

Efficient Estimation and Control of Unknown Stochastic Differential Equations

with M. K. S. Faradonbeh, 2021.

Asymptotic Analysis of Multi-Class Advance Patient Scheduling

with H. Abouee-Mehrizi and M. K. S. Faradonbeh