Haitham Bou Ammar

Reinforcement Learning Team Leader

Huawei Research

About Haitham

Haitham leads the reinforcement learning team at Huawei technologies Research & Development UK. Prior to Huawei, Haitham led the reinforcement learning and tuneable AI team at PROWLER.io, where he contributed numerously to their technology in finance and logistics.
Prior to joining PROWLER.io, Haitham was an Assistant Professor in the Computer Science Department at the American University of Beirut (AUB). Before joining the AUB, Haitham was a postdoctoral research associate in the Department of Operational Research and Financial Engineering (ORFE) at Princeton University. Prior to Princeton, Haitham conducted researcher in lifelong machine learning while being employed as a postdoctoral researcher at the University of Pennsylvania. Being a former member of the General Robotics Automation Sensing and Perception (GRASP) lab, he also contributed to the application of machine learning to robotics.
His primary research interests lie in the field of statistical machine learning and artificial intelligence, focusing on lifelong learning, multitask learning, knowledge transfer, and reinforcement learning. He is also interested in learning using massive amounts of data over extended time horizons – a property common to “Big-Data” problems. His research also spans different areas of control theory and nonlinear dynamical systems, as well as social networks and distributed optimization.