Mohamad Sadegh Shirani Faradonbeh

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

Mohamad Sadegh Shirani Faradonbeh

Research Interests

  • Reinforcement learning
  • Causal inference
  • Stochastic optimization
  • Data-driven modeling

Publications

Departure Time Choice Models in Urban Transportation Systems Based on Mean Field Games
with Mostafa Ameli, Jean-Patrick Lebacque, Hossein Abouee-Mehrizi, Ludovic Leclercq, Transportation Science, 2022.

Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems
with Mohamad Kazem Shirani 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 Mostafa Ameli, Jean Patrick Lebacque, Hossein Abouee-Mehrizi, Ludovic Leclercq, TRB 2021, Transportation Research Board 100th Annual Meeting-A Virtual Event

Working Papers

Thompson Sampling Efficiently Learns to Control Diffusion Processes

with Mohamad Kazem Shirani Faradonbeh and Mohsen Bayati, 2022.

Efficient Estimation and Control of Unknown Stochastic Differential Equations

with Mohamad Kazem Shirani Faradonbeh, 2021.