I am a postdoctoral research fellow working with Prof. Scott Sanner in the Data Driven Decision Making (D3M) lab at the University of Toronto, Ontario, Canada, and a faculty affiliate researcher at the Vector Institute.
My research objective is to allow artificial decision making agents to act reliably and efficiently, by learning and adapting, while leveraging prior knowledge such as models and constraints. My work attempts to balance between model-based and model-free approaches, by bringing together tools from reinforcement learning, automated planning and optimal control theory.
I am also interested is in the domain of Intelligent transportation where I attempt to apply the theoretical ideas on large scale transportation networks. Using the problem structure and model, while adapting online using multi agent reinforcement learning (MARL) tools we are able to scale up solutions, and efficiently manage large networks.
Prior to that, I was a research fellow at the Cognitive Robotics Lab at the Faculty of Data and Decision Sciences, Technion. I have completed my Ph.D. with Prof. Erez Karpas and Prof. Per-Olof Gutman, at the Technion Autonomous Systems and Robotics Program. My M.Sc. with Prof. Nahum Shimkin, and B.Sc. both at the Viterbi Faculty of Electrical and Computer Engineering at the Technion.
I have worked in the industry (both defense and private sectors) for over 10 years in various positions as an engineer and as team leader and department head, including software engineering, real-time embedded systems and IT. I have also completed several research internships in the industry during my Ph.D.
I have supervised over 40 students in undergraduate final projects (some matured to papers and press articles), I have been a teaching assistant in multiple departments in the Technion, and the lecturer of the advanced control theory course at the Viterbi Faculty of Electrical and Computer Engineering at the Technion for over 3 years.