Te Pei

Assistant Professor

The City College of New York

United States

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Te Pei is an Assistant Professor at the City College of New York, USA. His research focuses on landslide susceptibility prediction, machine learning applications in geotechnical engineering, and the integration of domain knowledge in predictive modeling. Recent publications include studies on spatiotemporal susceptibility prediction of rainfall-induced landslides and innovative frameworks for enhancing slope stability predictions.

Articles (15)

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2025

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2024

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2024

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2022

Collaborators (4)

Hien Nguyen

Assistant Professor

Penn State Harrisburg

UNITED STATES

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Chaopeng Shen

Assistant Professor

Pennsylvania State University

UNITED STATES

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Wil Srubar III

University of Colorado Boulder

UNITED STATES

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Tong Qiu

Professor

Pennsylvania State University

UNITED STATES

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Te Pei

Research Interests

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Articles (15)

The Value of Terrain Pattern, High‐Resolution Data and Ensemble Modeling for Landslide Susceptibility Prediction

Closure to “Applying Knowledge-Guided Machine Learning to Slope Stability Prediction”

Landslide susceptibility mapping using physics-guided machine learning: a case study of a debris flow event in Colorado Front Range

Spatiotemporal Prediction of Rainfall-induced Landslides Using Machine Learning Techniques

A Novel Framework for Spatiotemporal Susceptibility Prediction of Rainfall-Induced Landslides: A Case Study in Western Pennsylvania

Applying Knowledge-Guided Machine Learning to Slope Stability Prediction

Hazard assessment framework for statistical analysis of cut slopes using track inspection videos and geospatial information

Machine learning with monotonic constraint for geotechnical engineering applications: an example of slope stability prediction

Can domain knowledge benefit machine learning for concrete property prediction?

Debris flow susceptibility mapping in Colorado Front Range, USA: A comparison of physics-based and data-driven approaches

A Numerical Investigation of Laterally Loaded Steel Fin Pile Foundation in Sand

A Numerical Investigation of Laterally Loaded Steel Fin Pile Foundation in Sand

DEM Investigation of Energy Dissipation at Particle Contacts in Granular Soil Under Cyclic Torsional Shear

DEM Investigation of Energy Dissipation at Particle Contacts in Granular Soil under Cyclic Torsional Shear

Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates

Collaborators (4)

Hien Nguyen

Chaopeng Shen

Wil Srubar III

Tong Qiu

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