Dr. Julie Mai Integrates Machine Learning and Hydrology at CSCE Workshop

From May 28-30, 2025, the Canadian Society for Civil Engineering (CSCE) hosted the workshop Shaping the Future of Civil Engineering: Climate Resilience, Immersive Technologies, and Deep Learning Potential in Winnipeg, Manitoba.

Dr. Julie Mai, Research Associate Professor at the University of Waterloo and member of the Solutionscapes Cross-Cutting Themes Team, delivered a presentation titled The Beauty and the Beast - The Performance of Physical and Machine Learning-Based Models Evaluated in a Standardized Experiment over the Great Lakes. Her presentation compared physical and data-driven approaches to hydrologic modeling, highlighting how machine learning can complement traditional methods to improve accuracy and efficiency in water system predictions. 

The CSCE workshop explored new technologies and methods for designing infrastructure resilient to climate change and environmental conditions.

Learn more about Dr. Mai’s research🔗