Photo of Jie Xiong.

Jie Xiong

Researcher III-Mechanical Engineering


Before joining NREL, Jie Xiong was a graduate researcher at Purdue University. Jie worked on NSF-funded projects in the field of preference learning, data-driven models, and smart controls. Jie is an expert in human-centered smart control and self-tuned environment system design with extensive knowledge of building envelopes and energy systems, along with the machine learning technique for thorough and dynamic research (data analysis, modeling, and optimization).

Research Interests

Human-building interactions

Occupant comfort and preference learning

Building controls, sensing technologies, and personalized controls

Smart buildings

Self-tuned environments and human-in-the-loop building operation

Cyber physical interfaces


Ph.D., Civil (Architectural) Engineering, Purdue University

M.S., Civil (Architectural) Engineering, Purdue University

B.S., Electrical Engineering and Economics, Xian Jiaotong University, China

Featured Work

A personalized daylighting control approach to dynamically optimize visual satisfaction and lighting energy use, Energy and Buildings (2019)

Inferring personalized visual satisfaction profiles in daylit offices from comparative preferences using a Bayesian approach, Building and Environment (2018)

Model-based shading and lighting controls considering visual comfort and energy use, Solar Energy (2016)