Hui (Jack) Wang is an Associate Professor of Civil and Environmental Engineering at the University of Dayton with nine years of research and academic experience spanning geotechnical engineering, machine learning, and computational geosciences. He earned his PhD from the University of Akron and built a research foundation at RWTH Aachen integrating data-driven methods with subsurface and pipeline integrity modeling. His work focuses on multidisciplinary problems—smart infrastructure, reliability and risk assessment, and geotechnical subsurface modeling—bridging theory, field data, and probabilistic analysis. An active reviewer and editorial board member, he contributes to major journals and serves on international technical committees for risk assessment and management. Notably, his early research produced a stochastic corrosion-growth model and innovative soil-corrosivity clustering methods that inform pipeline integrity practices. Based in Dayton, Ohio, he combines international research experience with practical engineering applications and recognized speaking invitations such as the ISSMGE Bright Spark Lecture.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Civil Engineering, 4.0/4.0, Doctor of Philosophy (PhD), Civil Engineering, 4.0/4.0 at The University of Akron
Master of Science (M.S.), Geotechnical and Geoenvironmental Engineering, Master of Science (M.S.), Geotechnical and Geoenvironmental Engineering at Tongji University
Contributions:57 commits, 41 pushes, 1 branch in 1 year 4 months
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