Mei Li is a PhD candidate in Civil Engineering at the University of Toronto. She holds BASc and MASc degree in Petroleum Engineering from Southwest Petroleum University, China. Her current research focuses on the development and utilization of experimental visualization techniques, traditional and machine learning-based image processing techniques, AI for engineering, and rock fracturing mechanisms of layered anisotropic rocks. She applies her work towards industrial applications in the fields of oil and gas, geothermal, and carbon storage, and is dedicated to providing artificial intelligence solutions to power a smarter and safer energy industry and to support the carbon net-zero emission goal. With a keen interest in interdisciplinary research, she has actively pursued projects that integrate various fields of study. Currently, she is part of the Old Books New Science initiative, where she applies her expertise to analyze rare book micro-CT scans and segment the contents for the preservation of valuable historical and cultural data.
Invited talk on "See the Unseen – High Resolution Imaging of Rock Fractures and the Read Throughs for Cap Rock Integrity" as part of the Geological Controls and Fracture Mechanics - Considerations for the Geological Storage of Carbon Dioxide, Hydrogen, Methane and Compressed Air.
Became a PhD candidate.
Joined as a PhD student