Professor Mesbah's research lies at the intersection of optimal control theory, machine learning, applied mathematics, and their application to analysis and control of complex chemical and biomolecular systems. His laboratory is interested in developing computational methods and control theory that enable learning, analysis, and predictive control of uncertain systems. These methods are employed to facilitate high-performance control of systems spanning from (bio)molecular processes to manufacturing and energy systems whose dynamics cannot be modeled accurately or are intrinsically uncertain.
Research Expertise and Interest
Systems and control theory; Model predictive control; Uncertain systems; Chemical and biological systems