Research Profile
Carbon-neutral buildings · Low-carbon HVAC systems · AI-driven building design
I develop simulation-, data-, and AI-driven methods for designing low-carbon, energy-efficient, and comfortable buildings.
I am a PhD candidate at The Hong Kong Polytechnic University, supervised by Prof. Qingyan Chen. My research sits at the intersection of building science, computational design, and artificial intelligence, with published work on building retrofits, advanced HVAC terminal systems, radiant cooling, daylight optimization, data-driven visual-comfort assessment, and AI-assisted generative building design.
Academic experience
Visiting Scholar · University of California, Berkeley
A one-year research visit to the Center for the Built Environment (CBE), supported by the PolyU International Collaborative Research Fellowship, to extend my work on low-carbon HVAC systems and occupant comfort.
PhD Candidate · The Hong Kong Polytechnic University
Researching carbon-neutral buildings through retrofit analysis, advanced HVAC systems, and AI-assisted building design, combining EnergyPlus simulation, life-cycle cost and exergy analysis, field measurement, and generative AI.
Bachelor of Architecture · Shanghai Jiao Tong University
Five-year professional degree. Developed multi-objective methods for daylight and shading design, followed by a deep-learning workflow that reconstructs fisheye luminance maps for real-time visual-comfort assessment.
Teaching & practice
Honors & fellowships
SINOPEC “Cleaner Energy Better Life” Research Student Award (Merit)
Awarded the Merit distinction for research on low-carbon buildings.
PolyU International Collaborative Research Fellowship
Awarded by The Hong Kong Polytechnic University for a one-year research visit to the Center for the Built Environment (CBE) at the University of California, Berkeley.
IAQVEC 2026 Student Fellowship
Awarded to support participation in the 12th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings.