Bio


Maomao Hu is a postdoctoral researcher in the Department of Energy Resources Engineering at Stanford University since November 2021. Prior to joining Stanford, he was a postdoc in the Department of Engineering Science at the University of Oxford for two years. He received his PhD degree in Building Environment and Energy Engineering from the Hong Kong Polytechnic University in 2019. In 2018, he studied as a guest PhD student in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark.

His research interests include data analytics, data-driven modelling, numerical optimization, and model predictive control of the building and urban energy systems for GHG emission reduction, energy efficiency, energy flexibility, and energy resiliency. He has been actively contributing to international collaborations, including the ongoing IEA EBC Annex 81 (Data-Driven Smart Buildings) and Annex 82 (Energy Flexible Buildings Towards Resilient Low Carbon Energy Systems).

Honors & Awards


  • Best Student Paper Award (1st place), 5th International High Performance Buildings Conference, Purdue University, IN, USA (July 2018)

Professional Education


  • Ph.D., The Hong Kong Polytechnic University, Building Environment and Energy Engineering (2019)

Stanford Advisors


All Publications