I am a Research Fellow in the College of Design and Engineering at the National University of Singapore (NUS) working under Prof. Clayton Miller. I am part of the Building and Urban Data Science Lab (BUDSLab) and the Singapore-Berkeley Building Efficiency and Sustainability in the Tropics 2 (SinBerBEST2).
My research interests are broadly in the field of remote sensing, time-series forecasting, applied machine learning, and their applications to smart buildings and occupant thermal comfort. My recent work focuses on deep unsupervised learning, recommender systems, time-series outlier detection, agent-based modeling, and reinforcement learning with human-in-the-loop control.
Office: BEEHub Lab, SDE4 03-02
|Jan 17, 2023||Joined the Climate Change AI’s workshop on “Tackling Climate Change with Machine Learning” at the International Conference on Learning Representations (ICLR) as Program Committee.|
|Nov 30, 2022||Our paper Humans-as-a-Sensor for Buildings—Intensive Longitudinal Indoor Comfort Models won the Buildings 2020 Best Paper Award. LinkedIn post.|
|Nov 30, 2022||Gave a two-day workshop at the 1er Taller Regional sobre Aplicaciones e Investigación en Ciencia de Datos with the goal of promoting and contributing to the research community in South America.|
|Nov 25, 2022||Our paper Personal comfort models based on a 6-month experiment using environmental parameters and data from wearables is available in the Indoor Air Journal.|
|Nov 11, 2022||Our paper ComfortLearn: Enabling agent-based occupant-centric building controls was presented in BuildSys’22 at the RLEM workshop and is now available online.|