Mohamad Louai Shehab
Welcome !
I’m Mohamad Louai Shehab, a 4th year Ph.D student in the Robotics Department at the University of Michigan. I’m fortunate to be advised by Prof. Necmiye Ozay. My research interests broadly span Inverse Reinforcement Learning and learning finite state machines (reward machines) from observed optimal behaviors.
Bio
I was born in Beirut, Lebanon. I received an embedded M.Sc. in Robotics from the University of Michigan in 2024. Before that, I obtained a B.E. in Mechanical Engineering and a B.S. in Applied Mathematics from the American University of Beirut in 2021, both with high distinction.
Latest News
Jan. 2025 I was at the Purdue ICON Student Research Conference in West Lafayette, IN. I presented a poster about our work Learning Reward Machines from Partially Observed Optimal Policies
Jul. 2024 — I was at the Learning for Dynamics and Control Conference (L4DC) to present our work Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning.
Apr. 2024 — I was at the Midwest Workshop on Control and Game Theory in Chicago, IL. I presented a poster about our accepted L4DC paper.
Jan. 2024 I was elected to be the Colloqium Chair in the Robotics Graduate Student Council (RGSC).
Jan. 2023 I was elected to be the Outreach Chair in the Robotics Graduate Student Council (RGSC).
Dec. 2022 - I passed my CQE exam and became a Ph.D Candidate.
Jul. 2022 - I attended the Formal Methods in Control Design workshop organized by European Embedded Control Institute (EECI).