View across the Carnegie Mellon campus lawn toward the Cathedral of Learning

Wei Liang

Senior Research Fellow, IDEAS Lab, National University of Singapore
Registered Professional Engineer, State of California

IDEAS Lab

College of Design and Engineering

National University of Singapore

8 Architecture Dr, #03-02

Singapore 117564

wliang@nus.edu.sg

Portrait of Wei Liang

I'm a senior research fellow in IDEAS Lab at the National University of Singapore (NUS) and a professional mechanical engineer licensed in the State of California, USA. My research interests include robotic and IoT applications for building management, building performance modeling, and building controls and diagnostics.

I obtained my Ph.D. at Carnegie Mellon University, my M.Sc at University of California, Merced, and my B.Sc at Nanjing University.

For the most up-to-date research and publications, please check my Google Scholar and ResearchGate pages.

news

Aug 2026 I'm honored to have been selected to the Youth Editorial Board of Building Simulation.
Mar 2026 Delivered a seminar on AI in Building Controls at Korea University.
Dec 2025 Moderated the CEPT–NUS workshop at SDE4.
Nov 2025 Spoke at the Tsinghua Shenzhen Graduate School–NUS workshop at SDE4.
Oct 2025 Serving on the Scientific Committee of the 6th Asia Conference of the International Building Performance Simulation Association (ASim 2026).
Jul 2025 Presented our work on adaptive mixed-mode ventilation at the ICML CO-BUILD Workshop.
Jun 2025 I'm humbled to have been promoted to Senior Research Fellow.
Jun 2025 Attended the 2025 ASHRAE Annual Meeting.
Apr 2025 Advanced to Full Member of ASHRAE.
Jul 2024 Delighted to share that I have joined IDEAS Lab at NUS as a Research Fellow.
Jun 2024 Spoke at the 2024 ASHRAE Annual Meeting.
Jun 2024 Presented our mean radiant temperature mapping work at the CVPR 2024 CV4AEC workshop.
May 2024 Relieved and grateful to have successfully defended my PhD thesis, An Automatic Mobile Sensing Platform for Indoor Environmental Quality Assessments.

selected publications

  1. Adversarial inverse reinforcement learning framework diagram
    Adversarial inverse reinforcement learning control for mixed-mode ventilation systems with physics-constrained neural network
    Wei Liang, Adrian Chong
    Energy and Buildings, 2026
    Paper Code
  2. Gaussian process regression diagram
    Exploring Gaussian Process Regression for Indoor Environmental Quality: Spatiotemporal Thermal and Air Quality Modeling with Mobile Sensing
    Wei Liang, Yiting Zhang, Adrian Chong, Erica Cochran Hameen, Vivian Loftness
    Building and Environment, 2025
    Paper Code
  3. Energy flexibility framework diagram
    Energy flexibility quantification of a tropical net-zero office building using physically consistent neural network-based model predictive control
    Wei Liang, Han Li, Sicheng Zhan, Adrian Chong, Tianzhen Hong
    Advances in Applied Energy, 2024
    Paper

See all publications →