Mohamad Louai Shehab

I'm Mohamad Louai Shehab, and I'm a postdoctoral researcher in the Robotics Department at the University of Michigan, working with Prof. Nima Fazeli. I received my Ph.D. in Robotics from the University of Michigan, advised by Prof. Necmiye Ozay.

My current research focuses on vision-language-action (VLA) policies for industrial settings, where high success rates are required. I am also interested in integrating memory components efficiently into these models.

My Ph.D. research focused on extending inverse reinforcement learning to the non-Markovian setting by making use of reward machines, drawing on techniques from SAT/Max-SAT theory, linear algebra, optimization, and statistics. This research was recognized with the Outstanding Student Paper Award at CDC 2025.