I am a postdoc associate at Massachusetts Institute of Technology, working with Prof. Les Norford. Previously, I completed my PhD in the Lab of Integrated Data, Energy Analysis + Simulation (IDEAS) at NUS, led by Dr. Adrian Chong. My work is centered around buildings, where we spend over 90% of our daily lives. Pursuing a more intelligent and energy-efficient built environment, my research interest lies in the intersection of building science and cutting-edge computational technology, including machine learning, physics-based simulation, and optimization. [More about me]

• IAQVEC 2023 at Tokyo

  The 11th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings

  Posted on May 23, 2023

  

  

  I presented our work “Comparing model predictive control and reinforcement learning for the optimal operation of building-PV-battery systems” at IAQVEC 2023. The study compared the performance and transferability of MPC and RL across smart grids with different buildings and under different conditions. The experiments conducted on the CityLearn virtual testbed... [Read More]

  Tags:

  • conference
  • demand response
  • mpc
  • rl
  • smart grid

• GYSS2023 at Singapore

  Global Young Scientists Summit

  Posted on January 26, 2023

  

  

  I attended GYSS 2023 and presented my poster on active learning assisted digital twin calibration, where I showed how the uncertainty in training data affect the calibration and proposed an active-learning based framework to facilitate the fir-for-purpose data acquisition. [Read More]

  Tags:

  • conference
  • active learning
  • model calibration
  • digital twins