Yichuan Zhu

Yichuan Zhu is an Assistant Professor in the Department of Civil and Environmental Engineering at Temple University's College of Engineering. He leads the Computational Geosystems Group (CGG), focusing on interdisciplinary research at the intersection of civil engineering, geosciences, and computer science.

Research Interests: Dr. Zhu’s work centers on applying machine learning, uncertainty quantification, and computational modeling to geotechnical and geological challenges. Key areas include granular mechanics, landslide characterization, remote sensing applications, risk and reliability assessment, and AI-driven geosystem modeling. His research combines physical principles with data-driven techniques to enhance predictive accuracy and decision-making in complex earth systems.

Publication Trends: His recent publications (2021–2025) reflect a strong emphasis on integrating machine learning (including transformers and Bayesian deep learning) with traditional geomechanical models. Topics span tunnel safety, jet grouting, seismic site response, and landslide susceptibility, demonstrating a consistent focus on uncertainty-aware, AI-enhanced solutions for geotechnical problems.

Professional Recognition and Activities:

• Chair, Session MS 0706 (Natural Hazards), EMI/PMC 2024 Conference
• Presented at Geotechnical Frontiers 2025 and Geo-Congress 2024
• Actively recruiting fully-funded Ph.D. students

Advising and Teaching: Dr. Zhu advises Ph.D. students, including Dr. Khabiri, whose dissertation informed recent conference presentations. He teaches core undergraduate and graduate courses in soil mechanics, foundation engineering, and geotechnical earthquake engineering (CEE 2011, CEE 3331, CEE 4821–4823, CEE 5821–5823). His lab, the Computational Geosystems Group, supports ongoing research in AI and computational geosciences.

Research Group: The Computational Geosystems Group (CGG) conducts cutting-edge research in probabilistic modeling, geosystem simulation, and data-driven geotechnics. The team is actively expanding, with funded positions available for graduate researchers.