Biography
Dr. Yichuan Zhu leads the Computational Geosystems Laboratory in the Civil & Environmental Engineering Department at Temple University. Prior to joining Temple University, he worked as a Post-doctoral fellow at Kentucky Geological Survey where he applied quantitative methods such as machine learning, Bayesian techniques, and spatio-temporal simulations to solve applied Earth science research problems. He earned his Ph.D. in Civil Engineering from Texas A&M University. His research interests include ML/AI in Geotechnical and Geological applications, risk/reliability assessment and management, remote sensing, uncertainty quantification, computational geomechanics, and software development.
Research Interests
- ML/AI in Geotechnical and Geological applications
- Engineering Geology
- Risk/reliability assessment and management
- Remote sensing and Spatio-temporal analysis
- Uncertainty quantification
- Computational geomechanics
Courses Taught
Number | Name | Level |
|---|---|---|
CEE 2011 | Civil Engineering Materials | Undergraduate |
CEE 3331 | Soil Mechanics | Undergraduate |
CEE 4821 | Foundation Engineering | Undergraduate |
CEE 4822 | Earth Retaining Systems | Undergraduate |
CEE 4823 | Geotechnical Earthquake Engineering | Undergraduate |
CEE 5821 | Foundation Engineering | Graduate |
CEE 5822 | Earth Retaining Systems | Graduate |
CEE 5823 | Geotechnical Earthquake Engineering | Graduate |
Selected Publications
Recent
Wang, C., Zou, J., Zhu, Y., & Li, L. (2025). An elastoplastic analytical method for characterizing the plastic zone around a shallow circular tunnel. Applied Mathematical Modelling, 143, 115999-115999. Elsevier BV. doi: 10.1016/j.apm.2025.115999.
Tamang, R., Zhu, Y., & Coe, J. (2025). Bayesian deep learning for uncertainty quantification and prediction of jet grout column diameter. Computers and Geotechnics, 179, 106981-106981. Elsevier BV. doi: 10.1016/j.compgeo.2024.106981.
Zhu, Y., Medina-Cetina, Z., & Pineda-Contreras, A.R. (2022). Spatio-Temporal Statistical Characterization of Boundary Kinematic Phenomena of Triaxial Sand Specimens. Materials (Basel), 15(6). Switzerland. 10.3390/ma15062189
Medina-Cetina, Z., Song, A., Zhu, Y., Pineda-Contreras, A.R., & Rechenmacher, A. (2022). Global and Local Deformation Effects of Dry Vacuum-Consolidated Triaxial Compression Tests on Sand Specimens: Making a Database Available for the Calibration and Development of Forward Models. Materials (Basel), 15(4). Switzerland. 10.3390/ma15041528
Zhu, Y., Dortch, J.M., Massey, M.A., Haneberg, W.C., & Curl, D. (2021). An intelligent swath tool to characterize complex topographic features: Theory and application in the Teton Range, Licking River, and Olympus Mons. Geomorphology, 387, 107778. doi: 10.1016/j.geomorph.2021.107778.
Zhu, Y., Wang, Z., Carpenter, N.S., Woolery, E.W., & Haneberg, W.C. (2021). Mapping Fundamental-Mode Site Periods and Amplifications from Thick Sediments: An Example from the Jackson Purchase Region of Western Kentucky, Central United States. Bulletin of the Seismological Society of America, 111(4), 1868-1884. doi: 10.1785/0120200300.
Crawford, M.M., Dortch, J.M., Koch, H.J., Killen, A.A., Zhu, J., Zhu, Y., Bryson, L.S., & Haneberg, W.C. (2021). Using landslide-inventory mapping for a combined bagged-trees and logistic-regression approach to determining landslide susceptibility in eastern Kentucky, USA. Quarterly Journal of Engineering Geology and Hydrogeology, 54(4), qjegh2020-qjegh2177. doi: 10.1144/qjegh2020-177.