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 and my M.Sc at University of California, Merced.

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Research

(Work in Progress. Kindly check my Google Schoolar and/or ResearchGate pages for the most updated list of publications.)

My research interests include robotic and IoT applications for building management, building performance modeling, and building controls and diagnostics. Some papers are highlighted.

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.

Reconstruction of spatiotemporal indoor environmentquality maps using Gaussian process regression with limited sensor data.

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.

Efficiently generating the spatial field of mean radiant temperature in an indoor environment using visual simultaneous localization and mapping (vSLAM) and semantic segmentations

We introduced social robots as a psot-occupancy-evaluation tool to improve the occupants' engagement.

Selected Contruction Projects

Teaching