Te Pei

Dr. Te Pei is an Assistant Professor in the Department of Civil Engineering at The Grove School of Engineering, The City College of New York (CCNY). His research integrates geoscientific domain knowledge with artificial intelligence and machine learning to advance the understanding and forecasting of climate-induced geohazards, aiming to enhance the resilience of natural and built environments under climate change.

His research interests span several key areas in geotechnical engineering and data-driven geoscience, including:

• Climate-induced geohazards and their causality
• AI/ML applications in geoscience and civil infrastructure
• Soil-structure interaction
• Granular mechanics
• Data-driven modeling in concrete science
• Numerical modeling and simulation

His methodological expertise combines machine learning, numerical modeling, and laboratory testing to address complex geotechnical challenges.

Dr. Pei has secured significant research funding, including:

• Recipient of the 2024 CUNY Interdisciplinary Research Grant
• Principal Investigator (PI) on a three-year project recently recommended for funding by the National Science Foundation (NSF)

These grants support his ongoing work in developing predictive models for geohazards and advancing sustainable infrastructure resilience.

He has authored over 20 journal and conference publications, reflecting active contributions to geotechnical engineering, geomechanics, and climate-resilient infrastructure. While specific titles are not listed, his publication record demonstrates strong interdisciplinary engagement at the intersection of civil engineering, climate science, and artificial intelligence.

Dr. Pei's educational background includes:

Ph.D. in Civil Engineering – Pennsylvania State University (2023)
• B.S. in Civil Engineering – Oklahoma State University (2017)
• B.S. in Civil Engineering – Southwest Jiaotong University (2017)