Mission: 

We are dedicated to investigating and mitigating natural hazards induced by extreme weather events and earthquakes through early warning and forecasting to enhance the resilience of geo-infrastructure systems. Our research also focuses on integrating remote sensing and artificial intelligence, with an emphasis on drone sensing technology and physics-based machine learning methods, to advance geotechnical analysis. Furthermore, we aim to develop innovative solutions for geoenergy extraction and storage.

News:

[Top news] We always welcome self-motivated students to pursue a Ph.D. degree in our lab. If you are interested in working with Dr. Gong, please don't hesitate to contact him at weibing.gong@mst.edu.

[2025-2-9] Dr. Gong, along with Boneng, attended the 2025 NHERI Computational Symposium at UCLA and delivered a presentation titled "A Framework for Forecasting and Runout Estimation of Regional Co-Seismic Landslides." 

[2024-8-29] Mr. Joshua Chireboah-Ansah has officially joined the Geohazards and Smart Sensing Lab as a Master's student under the guidance of Dr. Katherine Grote and Dr. Gong. Welcome him to Missouri S&T! 

[2024-8-17] Dr. Gong's paper on the application of Physics-Informed Neural Networks (PINNs) to stratified ground consolidation has been published in Computer-Aided Civil and Infrastructure Engineering.

[2024-8-2] Mr. Boneng Chen and Mr. Shian Cao have officially joined the Geohazards and Smart Sensing Lab as PhD students under the guidance of Dr. Gong. Welcome them to Missouri S&T and Rolla! 

[2024-5-30] Dr. Gong delivered a presentation titled "Impact of Missing Source Areas and Volumes on Back-Calculating Regional Earthquake-Induced Landslides: A Case Study of the 2020 Mw 6.4 Puerto Rico Earthquake" at the mini-symposium "Natural Hazard Assessment with Monitoring, Modeling, and Uncertainty Quantification," which he co-chaired with Prof. Yichuan Zhu, during the EMI/PMC 2024 Conference. 

[2023-11-12] Dr. Gong is organizing a mini-symposium (MS 706), titled 'Natural Hazard Assessment with Monitoring, Modeling, and Uncertainty Quantification,' with Prof. Yichuan Zhu, and Prof. Hui Wang. The mini-symposium will be held at the upcoming Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference in Chicago, Illinois, on May 28-31, 2024. Abstracts of this mini-symposium are due on December 31, 2023. The abstract can be submitted through this link.

[2023-10-9] Dr. Gong was invited by Prof. Xiaoyu Song at the University of Florida to give a presentation entitled "A pseudo-3D methodology for predicting regional earthquake-induced landslides." Huge thanks to Xiaoyu's kind invitation and the audience's excellent questions.

[2023-8-1] This month, Dr. Gong will join the Department of Geosciences and Geological and Petroleum Engineering at Missouri University of Science and Technology as an Assistant Professor in Geological Engineering. This prestigious role offers an exceptional opportunity for him to contribute his expertise and passion to this esteemed institution.