معرفی
Gang Li is an Assistant Professor in the Department of Mechanical Engineering at Mississippi State University, affiliated with the Michael W. Hall School of Mechanical Engineering. He holds dual PhDs from the University of Maryland, Baltimore County (2017) and the University of Shanghai for Science and Technology (2017), alongside a Master's (2013) and Bachelor's (2010) in Mechanical Engineering from Shanghai. His research focuses on renewable energy systems, particularly tidal and wind energy harvesting, control theory, and mechatronics. He has contributed to advancements in gearbox technologies, condition monitoring, and life cycle assessments for sustainable energy systems.
Dr. Li’s work integrates interdisciplinary approaches to address challenges in energy efficiency and system reliability. Notable achievements include developing novel control strategies for tidal energy converters and advancing wear prediction models using machine learning. He has been recognized with the 2022 Best Paper Award in Mechatronics (ASME) and the NSF I-Corps Best Performance Award (2020).
His academic journey includes roles as a Postdoc Research Associate (2017–2022) and Assistant Research Professor (2022–2023) at UMBC. His teaching emphasizes system dynamics and innovative curriculum design, fostering student engagement in applied engineering problems. Current research initiatives involve digital twin technologies for marine turbines and federated learning for decentralized wind systems.
