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Wei Liang, P.E. I'm a senior postdoctoral 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. Email / CV / resume / Google Scholar / Github / LinkedIn / ResearchGate |
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News
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Research
My research interests include robotic and IoT applications for building management, building performance modeling, and building controls and diagnostics. Some papers are highlighted. For most updated research and publications, please check my Google Scholar and/or ResearchGate pages. |
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Adversarial inverse reinforcement learning control for mixed-mode ventilation systems with physics-constrained neural network
Wei Liang, Adrian Chong* Energy and Buildings paper We proposed an adversarial inverse reinforcement learning framework for mixed-mode ventilation that learns from rule-based controls to reduce unnecessary window operations and improve comfort and energy efficiency. |
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The effects of mixed-mode ventilation on energy saving and employee job satisfaction, work engagement, and job performance
Yamon Min Ye*, Wei Liang, Fei Xu, Adrian Chong, Christopher M. Barnes, Kai Chi Yam* Scientific Reports, 2026 paper / code A 19-week field study and follow-up experiment in Singapore found that mixed-mode ventilation reduced cooling energy use without statistically lowering employees' job satisfaction, work engagement, or job performance. |
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Weather-adaptive rule-based mixed-mode ventilation in a tropical climate: simulation and real-world validation
Jihyeon Cho, Wei Liang, Siyu Cheng, Adrian Chong, Yeonsook Heo* Energy and Buildings, 2026 paper We developed and field-validated a weather-adaptive, fan-assisted mixed-mode ventilation strategy that tunes window-opening thresholds, cooling setpoints, and fan speeds to expand free cooling and cut energy use in a tropical office. |
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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 Reconstruction of spatiotemporal indoor environmentquality maps using Gaussian process regression with limited sensor data. |
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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 A case study is presented adopting the framework for data-driven building energy flexibility quantification. A novel physically consistent neural network (PCNN) based MPC framework is proposed and implemented. The PCNN model addresses the internal loads and disturbances and captures free-floating building thermodynamics. |
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An Expeditious Spatial Mean Radiant Temperature Mapping Framework using
Visual SLAM and Semantic Segmentation
Wei Liang, Yiting Zhang, Ji Zhang, Erica Cochran Hameen 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop paper Efficiently generating the spatial field of mean radiant temperature in an indoor environment using visual simultaneous localization and mapping (vSLAM) and semantic segmentations |
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Improving post-occupancy evaluation engagement using social robots
Wei Liang*, Ruoxin Xiong, Pengkun Liu, Pingbo Tang, Erica Cochran Hameen The 9th ACM International Conference on Systems for Energy-Efficient Built Environments, 2022 paper We introduced social robots as a psot-occupancy-evaluation tool to improve the occupants' engagement. |
Selected Contruction Projects |
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UCNRLF, Phase 4, LEED Gold
Santa Clara Mission Library Remodel, LEED Silver Stanford Healthcare Redwood City, Cx Stanford School of Medicine, Steam to Heating Hot Water Conversion UCSF Facilities Office Mission Bay UCSF School of Medicine Seismic Upgrade |
Teaching |
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Graduate Instructor, 48524/48722 Spring 2022-2024 |
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The website template was borrowed from Jon Baron. Thanks for the generosity :) |