Jin Dong
About Jin Dong
Jin Dong is an R&D Staff member at Oak Ridge National Laboratory, specializing in building-to-grid integration and demand response technologies. He holds a Ph.D. in control theory from the University of Tennessee, Knoxville, and has experience in optimizing renewable energy systems using machine learning techniques.
Work at Oak Ridge National Laboratory
Jin Dong has been employed at Oak Ridge National Laboratory (ORNL) as R&D Staff since 2022. In this role, he focuses on research and development initiatives related to energy systems. Prior to his current position, he served as R&D Associate Staff at ORNL from 2016 to 2021, where he contributed to various projects aimed at advancing energy technologies.
Education and Expertise
Jin Dong earned his Bachelor of Engineering (BE) degree from Harbin Institute of Technology, where he studied from 2006 to 2010. He furthered his education at the University of Tennessee, Knoxville, obtaining a Doctor of Philosophy (Ph.D.) in control theory from 2010 to 2016. His expertise includes building-to-grid integration and demand response technologies, with a focus on optimizing renewable energy systems through machine learning techniques.
Background
Jin Dong has a strong academic and professional background in engineering and energy systems. His educational journey began at Harbin Institute of Technology, followed by advanced studies at the University of Tennessee, Knoxville. His work experience at Oak Ridge National Laboratory spans over seven years, encompassing both R&D Associate Staff and R&D Staff roles.
Research Focus
Jin Dong specializes in building-to-grid integration and demand response technologies. His research involves utilizing machine learning techniques to enhance the efficiency of renewable energy systems. This focus aligns with current trends in energy management and sustainability.