Bing Yan - Featured Faculty 2024

College of Art and Design College of Engineering Technology College of Health Sciences and Technology College of Liberal Arts College of Science Golisano College of Computing and Information Sciences Golisano Institute for Sustainability International Campuses Kate Gleason College of Engineering National Technical Institute for the Deaf Saunders College of Business
portrait of Bing Yan

Bing Yan

Kate Gleason College of Engineering

Dr. Yan’s research lies at the intersection of power system optimization, intelligent manufacturing scheduling, mixed integer linear programming optimization, and emerging quantum computing technologies. Her work addresses critical challenges in modern power and manufacturing systems by developing advanced models and algorithms for decision-making under uncertainty. This includes unit commitment, economic dispatch, production management, and complex scheduling problems across electric grids and smart factories.

Her scholarship has been recognized through a prestigious NSF CAREER Award, supporting her efforts to develop novel mathematical models and optimization methods to improve daily power grid operations, a strategy to better integrate uncertain renewable generation and energy storage resources. In parallel, Dr. Yan is also leading a pioneering quantum computing initiative, sponsored by ISO-New England, to address large-scale power system optimization problems using quantum-computing algorithms. Since joining RIT, Dr. Yan has made substantial contributions to her field, as reflected in her role as PI or co-PI on several NSF and industry-funded projects such as ISO-New England, Mid-Continent ISO, and Hitachi Energy. Her research has been featured in leading journals and presented at premier conferences in power systems and operations research.

Dr. Yan is also an active contributor to the scholarly community. She has served as associate editor for IEEE Robotics and Automation Letters and guest editor for IEEE Transactions on Automation Science and Engineering. She regularly chairs sessions at major conferences, including the IEEE Power and Energy Society General Meeting, IEEE Conference on Automation Science and Engineering, and INFORMS General Meeting, and organizes high-impact events such as the “Machine Learning for Automation” workshops at the IEEE Conference on Automation Science and Engineering.

Bing Yan
Assistant Professor
Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering