Weather-Aware Multi-Site Forecasting of Renewable Energy Generation
and Electrical Load Using Deep Learning
NUS Undergraduate Research Opportunities Programme (UROP)
· 2026–Present
This project examines how forecasting performance changes across
sites, seasons, weather conditions, operating regimes, and levels
of data availability, with an emphasis on cross-site
generalization and robustness.
Supervised by Prof. Dipti Srinivasan.
AI-Based Display Information Reconstruction from Invisible
Electromagnetic Leakage Signals
NUS Final Year Project (FYP) · 2026–Present
This project studies electromagnetic side-channel leakage from
electronic displays and AI-based methods for reconstructing visual
information from measured EM signals.
Supervised by Dr. Zhenyu Zhao.