Bahman Gharesifard is a Professor in the Department of Mathematics and Statistics at Queen's University. His academic journey includes a Ph.D. from Queen's University and postdoctoral research at prestigious institutions such as the University of Illinois at Urbana-Champaign and the University of California, San Diego. Gharesifard has received recognition for his teaching, including First Year Instructor Teaching Awards in 2014 and 2016. His research interests lie at the intersections of systems and control with various subjects in mathematics. He has focused on distributed control and optimization, particularly in generating control inputs in a decentralized manner. His work also addresses nonlinear stabilization through geometric control theory, and he has broad interests in Riemannian geometry and geometric mechanics. He explores the intersections of network sciences, graph theory, and machine learning, as well as stochastic processes and game theory. His research contributes valuable insights into non-convex optimization, model-free control, and the theoretical underpinnings of neural networks in machine learning, emphasizing the advancements in optimization techniques and their impact on decision-making processes based on data.
Queen's University • Kingston, ON
Teaching and conducting research in mathematics and control theory.
University of Illinois at Urbana-Champaign • Urbana-Champaign, IL
Conducted research in applied mathematics and systems controlled methodologies.
University of California, San Diego • San Diego, CA
Researched mathematical control and optimization frameworks.