Chih-Shen Cheng, Ph.D.

Assistant Professor, Building, Civil, and Environmental Engineering

Research areas: Disaster Resilience, Artificial Intelligence Applications in Civil Engineering, Reality Capture, Uncertainty Quantification

Contact information

Email:

chihshen.cheng@concordia.ca

ORCID:

0000-0001-7226-4484

Biography

Education

Ph.D., Zachry Department of Civil and Environmental Engineering, Texas A&M University, 2023

M.S., Department of Civil Engineering, National Taiwan University, 2015

B.S., Department of Civil Engineering, National Cheng Kung University, 2013

Work

Postdoctoral Fellow, The University of Texas at Austin, 2023-2026

Civil Engineer, CECI Engineering Consultants, Inc., Taiwan, 2017-2018

Publications

Journal Papers

12. Murphy, S., Cheng, C.- S., Kim, J., Faust, K., Leite, F. (2026) Exploring stages of resilience maturity as communities confront climate risks. Climate Risk Management. Cleaner Production Letters, 10, 100141.

11. Luo, L., Cheng, C.- S., Mobley, M., Lieberknecht, K., Kim, J., Leite, F. (2026). Optimizing Fluvial Flood Mitigation Strategies: A Multi-Objective Approach for Cost-Effective and Socially-aware Infrastructure Feasibility Analysis. International Journal of Disaster Risk Reduction, 133, 106004.

10. Luo, L., Cheng, C.- S., Mobley, M., Novoselac, A., Lieberknecht, K., Leite, F. (2025). Scenario Generation for Built Environment Decision Support Under Uncertainty: Case Studies on Energy Modeling and Climate-resilient Infrastructure System Design. Journal of Computing in Civil Engineering, 39(4), 05025002.

9. Murphy, S., Wang, M., Cheng, C.- S., Passalacqua, P., Leite, F. (2025) Land-use Analysis Using Infrastructure Representations and High-resolution Flood Modeling Techniques. International Journal of Disaster Risk Reduction, 123, 105518.

8. Cheng, C.- S., Luo, L., Murphy, S., Lee, Y.-C., Leite, F. (2024). A framework to enhance disaster debris estimation with AI and aerial photogrammetry. International Journal of Disaster Risk Reduction, 107, 104468.

7. Cheng, C.- S., Behzadan, A. H., Noshadravan, A. (2024). A Post-Hurricane Building Debris Estimation Workflow Enabled by Uncertainty-aware AI and Crowdsourcing. International Journal of Disaster Risk Reduction, 104785.

6. Cheng, C.- S., Khajwal, A. B., Behzadan, A. H., Noshadravan, A. (2023). A probabilistic crowd-AI framework for reducing uncertainty in post-disaster building damage assessment. Journal of Engineering Mechanics, 149(9), 04023059. (Featured in Editor's Choice, EMI Best Student Paper)

5. Khajwal, A. B., Cheng, C.- S., Noshadravan, A. (2023). Post-disaster damage classification based on deep multi-view image fusion. Computer‐Aided Civil and Infrastructure Engineering, 38(4), 528-544.

4. Cheng, C.- S., Behzadan, A. H., Noshadravan, A. (2022). Uncertainty-aware convolutional neural network for explainable AI-assisted disaster damage assessment. Structural Control and Health Monitoring, 29(10), e3019.

3. Nath, N. D., Cheng, C.- S., & Behzadan, A. H. (2022). Drone Mapping of Damage Information in GPS-Denied Disaster Sites. Advanced Engineering Informatics, 51, 101405.

2. Cheng, C.- S., Behzadan, A. H., Noshadravan, A. (2021). Deep Learning for Post-Hurricane Aerial Damage Assessment of Buildings. Computer‐Aided Civil and Infrastructure Engineering, 36(4) 695-710. (2022 Most Downloaded Paper)

1. Chan, P.-T., Cheng, C.-S., & Leu, L.-J. (2016). Optimal Design of Viscous Dampers for Two and Three-Dimensional Building Structures. Structural Engineering, 31(4), 57-65.

Conference Papers

13. Cheng, C.- S., Hou, T.-C., Leite, F. (2025). Generating Disaster Damage Assessment Datasets with Physics-Based Simulations and Sensing Data. ASCE 2025 International Conference on Computing in Civil Engineering (I3CE 2025)

12. Luo, L., Cheng, C.- S., Leite, F. (2025) Optimizing Flood Prevention Infrastructure Placement in Southeast Texas: A Genetic Algorithm Approach for Resilient Planning. ASCE 2025 International Conference on Computing in Civil Engineering (I3CE 2025)

11. Lee, Y.-C., Alsuhaibani, A., Cheng, C.- S., Leite, F. (2024). Enhancing Public Engagement in Sustainable Systems through Augmented Reality. ISARC 2024.

10. Luo, L., Cheng, C.- S., Leite, F. (2024). Automate Scenario Generation for Effective Communication Between Designers and Stakeholders in the Context of Flood Mitigation. ASCE 2024 International Conference on Computing in Civil Engineering (I3CE 2024)

9. Murphy, S., Cheng, C.- S., Leite, F. (2024). Leveraging Emerging Flood Modeling Techniques and Infrastructure Designs for Land-Use Analysis. ASCE 2024 International Conference on Computing in Civil Engineering (I3CE 2024)

8. Cheng, C.- S., & Behzadan, A. H., Noshadravan, A. (June 2023). Rapid and Automated Vision-based Post-disaster Debris Estimation. ASCE 2023 International Conference on Computing in Civil Engineering (I3CE 2023)

7. Cheng, C.- S., Pi, Y., Lomax, T., Duffield, N. & Behzadan, A. H. (June 2023). Pedestrian Phone-related Distracted Behavior Classification in Front-facing Vehicle Cameras for Road User Safety. ASCE 2023 International Conference on Computing in Civil Engineering (I3CE 2023)

6. Nath, N. D., Cheng, C.- S., & Behzadan, A. H. (July 2022). An Artificial Intelligence Camera for Spatiotemporal Surveillance of Construction Activities. EG-ICE 2022 International Workshop. https://doi.org/10.7146/aul.455.c204

5. Cheng, C.- S., Behzadan, A. H., & Noshadravan, A. (June 2022). A Bayesian Framework for Human-AI Partnership in Disaster Damage Classification. 8th World Conference on Structural Control and Monitoring (8WCSCM).

4. Khajwal, A. B., Cheng, C.- S., Noshadravan, A. (June 2022) An Uncertainty-aware Multi-view Approach to Automated Post-Disaster Damage Assessment. 8th World Conference on Structural Control and Monitoring (8WCSCM).

3. Cheng, C.- S., Behzadan, A. H., & Noshadravan, A. (Feb. 2022). Exploring the Generalizability of Deep Convolutional Neural Networks for Post-Hurricane Damage Assessment. ASCE/IRD UCLA Lifelines 2021-22 Conference.

2. Khajwal, A. B., Cheng, C.- S., Noshadravan, A. (Feb. 2022) Multi-view deep learning for reliable post-disaster damage classification. 13th International Workshop on Structure Health Monitoring (IWSHM).

1. Cheng, C.- S., Behzadan, A. H., & Noshadravan, A. (Sep. 12-14, 2021). Bayesian Inference for Uncertainty-aware Post-disaster Damage Assessment using Artificial Intelligence. ASCE 2021 International Conference on Computing in Civil Engineering (I3CE 2021).

Datasets

4. Luo, L., Leite, F., Cheng, C.- S., Murphy, S. (2024) Aerial Data and Processed Models of Port Arthur Coastal Neighborhood and Pleasure Island Golf Course, June 2024. Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE).

3. Luo, L., Leite, F., Cheng, C.- S., Murphy, S. (2023) Aerial Captured Data and Processed Models in Beaumont-Port Arthur Region in Feb and Oct, 2023. Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE).

2. Kajwal, A. B., Tomotaki L., Cheng, C.- S. & Noshadravan, A. (2022). MV-HarveyNET: A labelled image dataset from Hurricane Harvey for damage assessment of residential houses based on multi-view CNN. DesignSafe-CI.

1. Cheng, C.- S., Behzadan, A. H., & Noshadravan, A. (2021). DoriaNET: A Visual Dataset from Hurricane Dorian for Post-disaster Building Damage Assessment. DesignSafe-CI.