Lab News

[09/04/2025] Dr. Wang's research on workforce safety is covered by the University News and Other medias: Spectrum News 1  and wdtn.com

[08/26/2025] Dr. Wang presented the paper "A novel approach for slope reliability analysis considering the stratigraphic uncertainty and property uncertainty" at the 9th International Symposium for Geotechnical Safety and Risk (ISGSR 2025) 

[08/23/2025] Dr. Hui Wang is recognized as one of the Rising Stars in Geotechnical Engineering (2024–2025) by Frontiers in Built Environment. This recognition highlights early-career researchers for notable achievements in geotechnical engineering research. 

[08/13/2025] Dr. Hui Wang and Dr. Sreelakshmi Sreeharan presented the paper "Development of dynamic database for proactive and predictive risk management of underground pipelines: a comprehensive review" at the ASCE Pipelines Conference 2025, Tampa, FL. This work is sponsored by USDOT PHMSA. Link to the paper: https://doi.org/10.1061/9780784486382.022 

[07/25/2025] Nick Wehrman presented a poster for the summer stander symposium, which highlighted work done over the summer on the lab's pavement scanning system.

[07/24/2025]  Dr. Yusheng(Bear) Jiang was interviewed for the University of Dayton’s “7 Questions” series, which was published in the UD Newsletter. Read the full article here: https://udayton.edu/blogs/engineering/2025/25-06-24-questions-jiang.php. 

[07/24/2025]  Dr. Yusheng(Bear) Jiang was interviewed for the University of Dayton’s “7 Questions” series, which was published in the UD Newsletter. Read the full article here: https://udayton.edu/blogs/engineering/2025/25-06-24-questions-jiang.php.  

[04/25/2025]  Qingyu Ren has been honored with the Outstanding PhD Scholarship, accompanied by recognition for a Standard Presentation & Award. This distinction highlights Ren’s academic excellence and contributions to advancing research in their field.

[04/9/2025]  Qingyu Ren and Dr. Hui Wang presented the paper "Geohazard monitoring using real-time dynamic point clouds" at the AMPP Conference 2025, Nashville, Tennessee. Link to this paper: https://content.ampp.org/ampp/proceedings-abstract/CONF_APR25/2025/1/96958

[04/9/2025] Dr.Sreelakshmi Sreeharan and Dr. Hui Wang presented the paper "Indirect Inspection-based Bayesian Machine Learning Model for Probabilistic Coating Defect Severity Interpretation " at the AMPP Conference 2025, Nashville, Tennessee. Link to this paper:https://content.ampp.org/ampp/proceedings-abstract/CONF_APR25/2025/1/97130.