MPhil Student (Year 2)
EIES-Lab · The Hong Kong Polytechnic University
I am an MPhil student in the Department of Building Environment and Energy Engineering at The Hong Kong Polytechnic University, supervised by Prof. Jinyue Yan and Dr. Zhiling Guo. I received my bachelor’s degree in Computer Science and Technology from Southern University of Science and Technology.
My research combines deep learning, 3D computer vision, and urban energy modelling, with a focus on city-scale rooftop photovoltaic potential assessment. I develop efficient predictive models using urban geometry, meteorological data, and physical simulation. My current interests also include active perception and automated building information modelling for urban digital twins and climate resilience applications.
2026
MPhil, Building Environment and Energy Engineering
The Hong Kong Polytechnic University
2020 – 2024
Bachelor of Engineering, Computer Science and Technology
Southern university of science and technology
Solar energy
Combines 3D building footprints with meteorological data to estimate building-integrated PV potential in 120 cities worldwide; facade potential averages 68.2% of rooftop potential.
· Nexus
Solar energy
Integrates AIoT, GIS and meteorological data into a facade BIPV potential model that accounts for 3D occlusion; facade element parsing and shading turn out to be key to accurate estimates.
· Advances in Applied Energy
Solar energyFirst author
A deep learning framework that encodes spatiotemporal data to predict shadow casting and rooftop PV potential (annual MAPE 2.85%, shading mIoU 89.23%), about 158 times faster than simulation.
· Applied Energy
Talks to come.
Projects to come.
Awards to come.
