Jingming Li worked as an engineer at Building Technology Division of Midea Group. He gets his doctoral degree in Heating Ventilation and Air Conditioning (HVAC) at Hunan University. His thesis is about optimizing the digital twin during building life cycle. His research interests include building information, digital twin and energy conservation.

Data is the language of the universe, and math is its grammar that brings information. Information offers the possibility to simulate, analyze and even guide energy consumption behavior. Building energy consumption is driven by the satisfaction of occupants, thus data driven optimization of building operation is an essential option for achieving high efficiency.

He is interested in sustainable design with building information to reduce negative impacts on the environment, which requires the designers to take energy performance of buildings and needs of occupants into consideration.

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