Dr. Jiaqi Li’s research interests include industrial decarbonization of materials, such as concrete and hydrogen, for civil and energy infrastructure through the use and generation of renewable energy and carbon capture, utilization, and storage. His research uses in-house experimental results to validate modelling work and uses machine learning tools such as regression, clustering, network analysis, decision tree and deep learning model to advance the materials characterization, optimization, and design.
Integrate renewable energy use and generation with carbon capture, utilization, and storage for making carbon-negative cement and concrete at scale.
The most significant scientific contribution I would like to make is decarbonizing the global energy and construction industries at the gigaton scale annually in cost-effective scalable approaches.