Hui Wang

Associate Professor

Dayton, Ohio, United States
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Summary

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Senior
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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.
code9 years of coding experience
job13 years of employment as a software developer
bookDoctor of Philosophy (PhD), Civil Engineering, 4.0/4.0, Doctor of Philosophy (PhD), Civil Engineering, 4.0/4.0 at The University of Akron
bookMaster of Science (M.S.), Geotechnical and Geoenvironmental Engineering, Master of Science (M.S.), Geotechnical and Geoenvironmental Engineering at Tongji University
languagesChinese, English
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Github Skills (23)

geometry10
photogrammetry10
computer-vision10
structure-from-motion10
3d-reconstruction10
geometry-library9
unsupervised-machine-learning9
spatial-data9
segmentation9
geology9
spatial9
surface8
stereo7
refinement7
texture7

Programming languages (2)

C++Jupyter Notebook

Github contributions (5)

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cgre-aachen/bayseg

Jan 2017 - Jul 2019

An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Contributions:40 commits, 1 push, 1 issue in 2 years 6 months
data-setsgeologypythondeep-learningspatial
hwang051785/pyCPT

May 2018 - Sep 2019

Contributions:57 commits, 41 pushes, 1 branch in 1 year 4 months
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Hui Wang - Associate Professor