Hao Wang

Hao Wang is a Senior Lecturer in the Department of Data Science and Artificial Intelligence at Monash University, affiliated with the Monash Energy Institute and Monash Data Futures Institute. He holds an ARC DECRA Fellowship and leads interdisciplinary research on applied machine learning and optimization in smart grids, energy systems, and smart cities. His work focuses on leveraging AI for energy data analytics, EV integration, and distributed energy resource management.

Education: PhD from The Chinese University of Hong Kong, supervised by Prof. Jianwei Huang. Postdoctoral research at Stanford University (Prof. Ram Rajagopal) and University of Washington (Prof. Baosen Zhang).

Research interests include reinforcement learning for energy systems, decentralized control, and incentive mechanisms for prosumer participation. He serves on editorial boards of journals like Energy Conversion and Economics and IET Renewable Power Generation, and organizes conferences like ACM e-Energy and IEEE SmartGridComm.

Awards: Best Paper Awards at IEEE PECON 2016, IEEE ICC 2017, and IEEE SmartGridComm 2020. Current projects include the Human-in-the-loop Microgrid Project and AI for Clean Energy and Sustainability initiative.