Zhe (Walter) Wang

Zhe (Walter) Wang

Assistant Professor, Hong Kong University of Science and Technology

About me

  • I am an Assistant Professor at The Hong Kong University of Science and Technology.
  • PhD & Postdoc Opening: I am looking for MPhil/PhD students (full scholarship) and Postdocs to work on energy system modeling and optimization for vehicles, buildings, and cities. Students in building science, mechanical engineering, civil engineering, automation, applied mathematics, or related majors with proficient coding skills are welcome to apply. Please feel free to contact me with CV (and/or transcripts, sample publications) attached if you are interested. For PhD application, please check the HKUST Graduate School.
  • Prior to joining HKUST, I was a Project Scientist in Building Technology & Urban Systems Division at Lawrence Berkeley National Laboratory from 2018 to 2021. I received my Bachelor and Ph.D. at Tsinghua University, supervised by Prof. Yingxin Zhu and Prof. Borong Lin; and my M.Phil degree in Department of Engineering at University of Cambridge in 2014.
  • Curriculum Vitae

Recent news

  • $\color{#5c1d9f}{Career:}$ I accept the invitation to serve as the Assistant Editor for Advances in Applied Energy (Oct, 2024).
  • $\color{#5c1d9f}{Career:}$ I was named as the World’s Top 2% Scientists by Stanford University & Elsevier for the fourth consecutive year since 2021 (Sep, 2024).
  • $\color{#37a55a}{Funding:}$ I was awarded the Innovation and Technology Fund, as the PI, working on Semantic AI empowered fault detection and control optimization for HVAC system of large-scale commercial buildings (Sep, 2024).
  • $\color{#37a55a}{Funding:}$ I was awarded the 2024 China Computer Federation (CCF) - Tencent Open Fund, as the PI, working on Predictive maintanence for data center cooling plant (July, 2024).
  • $\color{#37a55a}{Funding:}$ Our team is collaborating with Shenzhen Ridge to develop building defect detection solutions using drone, infrared image and computer vision (May, 2024).
  • $\color{#0b5394}{Award:}$ Our team has won the second place in the 2023 NeurIPS CityLearn Challenge (Nov, 2023).
  • $\color{#37a55a}{Funding:}$ I was awarded the National Science Fund for Excellent Young Scholars by NSFC, as the PI, working on Advanced building control for energy efficiency and load flexibility (Aug, 2023).
  • $\color{#37a55a}{Funding:}$ I was awarded the National Science Fund for Young Scholars by NSFC, as the PI, working on Cabin thermal management for electrical vehicles (Aug, 2023).
  • $\color{#5c1d9f}{Career:}$ I will work as the task leader for the International Building Performance Simulation Association (IBPSA) Project 2: Community Development and Usage of BOPTEST with researchers from LBNL, ETH Zurich, KU Leuven etc. I will co-lead Task 4 on Controller Testing with Esther Borkowski from ETH Zurich. (July, 2023).
  • $\color{#37a55a}{Funding:}$ I was awarded the Early Career Scheme by Hong Kong Research Grant Committee, as the PI, working on Model Predictive Control in Hong Kong’s Residential Buildings for Energy Efficiency and Load Flexibility (June, 2023).
  • $\color{#37a55a}{Funding:}$ I was awarded the CRF 2022/23 Young Collaborative Research Grant (YCRG) funded by the Hong Kong Research Grant Council, as the PC, working on Toward 2060 Carbon Neutrality: Life-cycle Planning and Design of Photovoltaic Integrated Green Roof (PVIGR) Systems for Hong Kong and the Greater Bay Area (Jan, 2023).
  • $\color{#37a55a}{Funding:}$ We collaborate with Tencent to work on Model Predictive Control for energy efficient data center sponsored by 2022 China Computer Federation (CCF) - Tencent Open Fund (Sep, 2022).
  • $\color{#5c1d9f}{Career:}$ I accept the invitation to serve as the Section Editor for Energy and Buildings (Aug, 2022).
  • $\color{#37a55a}{Funding:}$ We collaborate with Midea to work on Model Predictive Control for Demand Response (Aug, 2022).
  • $\color{#0b5394}{Award:}$ Our team has won the first place, the Gold Award, Best Use of Tencent Cloud Award, and Huawei Most Innovative Use of Data Award in the 2022 Global AI Challenge for Building E&M Facilites organized by Hong Kong EMSD. Official leader board shows our solution has a 10% lower RMSE compared with the runner-up’s solution (Jun, 2022).
  • $\color{#5c1d9f}{Career:}$ I accepted the invitation to join the editorial board of Building Simulation as Subject Editor (Jan, 2021).
  • $\color{#5c1d9f}{Career:}$ I was invited to give a speech on the Seventh-Round High-level Consultation on U.S.-China People to People Exchange. This event was chaired by Chinese Vice Premier Yandong Liu and U.S. Secretary of State John Kerry. Zhe was the ONLY representative of Chinese young scholar (Jun, 2016).
  • $\color{#5c1d9f}{Career:}$ I was selected as a Schwarzman Scholar and enrolled into the Inaugural Class (Dec, 2015).