[Prof. Zhan will join the Department of Civil Engineering shortly]
Professor S. Zhan

Professor S. Zhan
Assistant Professor (Construction Engineering & Management)

BEng, Zhejiang University, China
MSc, Carnegie Mellon University, USA
PhD, National University of Singapore, Singapore

 

 


Fax: +852 2559 5337
E-mail: szhan@hku.hk
Homepage: https://jamescheng21.github.io/

 

Research Interests
  • Zero-carbon building
  • Energy transition
  • Circular energy systems
  • Sustainable AI infrastructure
  • Decision-oriented digital twins

 

Professional Activities
  • Youth editorial board member: Building Simulation
  • Conference Scientific Committee: IBPSA Building Simulation, ASIM, ACM BuildSys, IAQVEC, Indoor Air, ICML Workshop CO-BUILD
  • Conference co-chairing: Building Simulation 2023 Session Chair, ACM BALANCE 2023, 2024, ACM BuildSys 2026 Workshop

 

Representative Publications
  • Zhan, S., Zhu, M., Cheng, S., & Chong, A. (2025). Bridging performance gap for existing buildings: The role of calibration and the cascading effect. Building Simulation, 18(1), 123–140.
  • Zhan, S., Dong, B., & Chong, A. (2023). Improving energy flexibility and PV self-consumption for a tropical net zero energy office building. Energy and Buildings, 112606.
  • Zhan, S., Lei, Y., Jin, Y., Yan, D., & Chong, A. (2022). Impact of occupant related data on identification and model predictive control for buildings. Applied Energy, 323, 119580.
  • Zhan, S., Wichern, G., Laughman, C., Chong, A., & Chakrabarty, A. (2022). Calibrating building simulation models using multi-source datasets and meta-learned bayesian optimization. Energy and Buildings, 112278.
  • Zhan, S., & Chong, A. (2021). Building occupancy and energy consumption: Case studies across building types. Energy and Built Environment, 2(2), 167–174.
  • Zhan, S., & Chong, A. (2021). Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective. Renewable and Sustainable Energy Reviews, 142, 110835.
  • Zhan, S., Chong, A., & Lasternas, B. (2020). Automated recognition and mapping of building management system (BMS) data points for building energy modeling (BEM). Building Simulation, 1–10.
  • Zhan, S., Liu, Z., Chong, A., & Yan, D. (2020). Building categorization revisited: A clustering-based approach to using smart meter data for building energy benchmarking. Applied Energy, 269, 114920.

 

For more information of Professor S. Zhan, please visit https://jamescheng21.github.io/.