Bing Yan
Assistant Professor
Bing Yan
Assistant Professor
Education
B.S. in information management and information system from Renmin University of China in 2010; M.S. degrees in electrical engineering and statistics from University of Connecticut in 2012 and 2017, respectively; Ph.D. degrees in electrical engineering from University of Connecticut in 2016.
Bio
Dr. Bing Yan is currently an assistant professor in the Department of Electrical and Microelectronic Engineering at Rochester Institute of Technology. She received the B.S. degree in information management and information system from Renmin University of China in 2010, M.S. degrees in electrical engineering and statistics from University of Connecticut in 2012 and 2017, respectively, and Ph.D. degrees in electrical engineering from University of Connecticut in 2016. Before joining Rochester Institute of Technology, she was an assistant research professor in the Department of Electrical and Computer Engineering, University of Connecticut. Dr. Yan’s research interests include power system optimization, grid integration of renewables (wind and solar), operation optimization of microgrids and distributed energy systems, scheduling of manufacturing systems, and mixed integer linear programming optimization. Dr. Yan has been working on many projects collaborated with industrial partners over the years, resulting in more than 30 peer-reviewed articles. Either as PI, Co-PI or Senior Personnel, Dr. Yan has three grants from the National Science Foundation including the Faculty Early Career Development Program (CAREER) Award, one grant from the Department of Energy, and multiple contracts from Brookhaven National Laboratory under the Department of Energy, ISO-New England, Mid-Continent ISO, National Cheng Kung University, and ABB.
Currently Teaching
In the News
-
February 9, 2024
Electrical engineering faculty member recognized with CAREER Award
Bing Yan, an assistant professor of electrical engineering, is building a more coordinated system to manage different variables affecting grid energy generation, storage, transmission, and distribution—from extreme weather events to the addition of solar and wind power.