Joseph P. Vantassel
Assistant Professor
Areas of Interest
Geotechnical Site Characterization, Subsurface Imaging, Engineering Geophysics, Artificial Intelligence, Inverse Problems, Uncertainty Quantification
- B.S., Rensselaer Polytechnic Institute, Troy, NY, 2016
- M.S., The University of Texas at Austin, Austin, TX, 2018
- Ph.D., The University of Texas at Austin, Austin, TX, 2021
- CEE 3804: Computer Applications in CEE
- CEE 4534: Earth Pressures and Foundation Structures
- CEE 4854: Machine Learning Applications in Civil and Environmental Engineering
- Multi-Physics, Intelligent Sensing System for Real-Time, Look-Ahead While Drilling | August 2024 to July 2027 | Funded by the Department of Energy (DOE) through ARPA-E
- Using the Horizontal-to-Vertical Spectral Ratio of Microtremors to Determine Vs30 at Ground Motion Stations in the Continental United States for More-Accurate Predictions of Site-Effect | August 2024 - July 2025 | United States Geological Survey (USGS)
- Sharma-Wagle, K., Vantassel, J.P., Rodriguez-Marek, A., Anbazhagan, A. (2026). A Set of Data Driven Model to Predict Vs30 from the Horizontal-to-Vertical Spectral Ratio of Microtremors. Bulletin of the Seismological Society of America. https://doi.org/10.1785/0120250128
- Vantassel, J.P. & Bhochhibhoya, S. (2025). Toward more-robust, AI-enabled subsurface seismic imaging for geotechnical applications. Computers and Geotechnics. 187:107443. https://doi.org/10.1016/j.compgeo.2025.107443
- Please see a complete list of publications at Google Scholar