Dr. Donghun Kim received his Ph.D. degree from Purdue University with focus on thermal energy systems. He has been worked as a research assistant professor at the School of Mechanical Engineering at Purdue University and is currently a research scientist at Lawrence Berkeley National Lab. His academic background includes modeling, system identification, machine learning, control (model predictive control in particular) and optimization to develop, evaluate and deploy advanced building HVAC control algorithms. He developed an identification algorithm and model predictive controller to coordinate multiple Rooftop units, and algorithms for generating reduced order models for building envelope systems and dynamic vapor compression systems. He is a subcommittee chair of Building Operations and Dynamics (TC 7.5 Smart Building System) of ASHRAE, technical committee members of ASME Energy Systems, and a member of IEEE.
Researchers in the Building Technology & Urban Systems Division (BTUS) at Lawrence Berkeley National Laboratory develop data and technologies that increase energy efficiency and improve the health, safety and comfort of building occupants, in the United States and worldwide.
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