Welcome to NUS BIOR Lab! We focus on data-driven optimization, learning, and control of multi-scale cyber-physical-human energy systems (from buildings to districts to cities) to make them smart, low-carbon, energy-efficient, demand-flexible, climate-resilient, and equitable. Our work lies at the intersection of building science, computer science, and control engineering.

• Aug 2025 | Research Seminar on Leveraging AI for Optimizing Building Energy Systems: Practices and Explorations by Prof. Da Yan from Tsinghua University

• Feb 2025 | Research Seminar on Data-Driven Digital Twins: Bridging the Gaps between Physical and Statistical Modeling by Prof. Henrik Madsen from DTU Compute

• Dec 2024 | Bits4Watts Workshop 2024: 1st International Workshop on Low-Carbon Building and Urban Energy Systems Powered by Data, AI, and Smart Controls