Hao Wang
Scholar

Hao Wang

Google Scholar ID: UgoDbyYAAAAJ
Senior Lecturer, ARC DECRA Fellow, Monash University
Power and Energy SystemsOptimizationTrustworthy AIMachine LearningData Analytics
Citations & Impact
All-time
Citations
3,030
 
H-index
27
 
i10-index
51
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Awarded the best paper at IEEE PECON 2016, the best paper run-up at IEEE ICC 2017, and the best paper nomination at IEEE SmartGridComm 2020. Serves on the editorial board of the International Journal of Precision Engineering and Manufacturing-Green Technology (IJPEM-GT), an associate editor for Energy Conversion and Economics, IEEE Access, and Frontiers in Energy Research, and a referee for top journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, Applied Energy, Renewable Energy, etc. Served as an Organization Committee member for ACM e-Energy 2019 and a TPC member for conferences including IEEE SmartGridComm, IEEE Globecom, and IEEE ICC.
Research Experience
  • Currently a Senior Research Fellow in the Department of Data Science and Artificial Intelligence at Monash University, also affiliated with the Monash Energy Institute and Monash Data Futures Institute. Was a Postdoctoral Research Fellow in the Stanford Sustainable Systems Lab and a WRF Innovation Fellow at the University of Washington, Seattle.
Education
  • PhD from The Chinese University of Hong Kong, supervised by Prof. Jianwei Huang; Postdoctoral Research Fellow at Stanford Sustainable Systems Lab working with Prof. Ram Rajagopal and Dr. Chin-Woo Tan at Stanford University; Washington Research Foundation (WRF) Innovation Fellow working with Prof. Baosen Zhang at the University of Washington, Seattle.
Background
  • Research interests: applied machine learning and data analytics for smart grids and smart cities, optimization of power & energy systems, and business models and mechanism design for incentivizing participation of electric vehicles and prosumers.
Miscellany
  • Looking for Ph.D. students with self-motivation and strong interests in interdisciplinary research of smart grids.