| Deep learning for post‐hurricane aerial damage assessment of buildings CS Cheng, AH Behzadan, A Noshadravan Computer‐Aided Civil and Infrastructure Engineering 36 (6), 695-710, 2021 | 100 | 2021 |
| Post‐disaster damage classification based on deep multi‐view image fusion AB Khajwal, CS Cheng, A Noshadravan Computer‐Aided Civil and Infrastructure Engineering 38 (4), 528-544, 2023 | 47 | 2023 |
| Drone mapping of damage information in GPS-Denied disaster sites ND Nath, CS Cheng, AH Behzadan Advanced Engineering Informatics 51, 101450, 2022 | 38 | 2022 |
| Uncertainty‐aware convolutional neural network for explainable artificial intelligence‐assisted disaster damage assessment CS Cheng, AH Behzadan, A Noshadravan Structural Control and Health Monitoring 29 (10), e3019, 2022 | 27 | 2022 |
| A probabilistic crowd–AI framework for reducing uncertainty in postdisaster building damage assessment CS Cheng, AB Khajwal, AH Behzadan, A Noshadravan Journal of Engineering Mechanics 149 (9), 04023059, 2023 | 8 | 2023 |
| DoriaNET: A visual dataset from Hurricane Dorian for post-disaster building damage assessment CS Cheng, AH Behzadan, A Noshadravan DesignSafe-CI, 2021 | 7 | 2021 |
| A framework to enhance disaster debris estimation with AI and aerial photogrammetry CS Cheng, L Luo, S Murphy, YC Lee, F Leite International Journal of Disaster Risk Reduction 107, 104468, 2024 | 5 | 2024 |
| Bayesian inference for uncertainty-aware post-disaster damage assessment using artificial intelligence CS Cheng, AH Behzadan, A Noshadravan Computing in Civil Engineering 2021, 156-163, 2022 | 4 | 2022 |
| Multi-view deep learning for reliable post-disaster damage classification AB Khajwal, CS Cheng, A Noshadravan arXiv preprint arXiv:2208.03419, 2022 | 3 | 2022 |
| Exploring the generalizability of deep convolutional neural networks for post-hurricane damage assessment CS Cheng, AH Behzadan, A Noshadravan Lifelines 2022, 577-585, 2022 | 3 | 2022 |
| MV-HarveyNET: A labelled image dataset from Hurricane Harvey for damage assessment of residential houses based on multi-view CNN AB Khajwal, L Tomotaki, CS Cheng, A Noshadravan DesignSafe-CI, 2022 | 2 | 2022 |
| A novel automated post‐disaster damage assessment based on multi‐view imagery A Noshadravan, AB Khajwal, CS Cheng Mechanistic machine learning and digital twins for computational science …, 2021 | 2 | 2021 |
| A post-hurricane building debris estimation workflow enabled by uncertainty-aware AI and crowdsourcing CS Cheng, A Behzadan, A Noshadravan International Journal of Disaster Risk Reduction 112, 104785, 2024 | 1 | 2024 |
| Aerial Captured Data and Processed Models in Beaumont-Port Arthur Region in Feb and Oct, 2023 L Luo, F Leite, CS Cheng, S Murphy Environmental System Science Data Infrastructure for a Virtual Ecosystem …, 2023 | 1 | 2023 |
| An uncertainty-aware multi-view approach to automated post-disaster damage assessment AB Khajwal, CS Cheng, A Noshadravan | 1 | 2022 |
| Pedestrian Phone-Related Distracted Behavior Classification in Front-Facing Vehicle Cameras for Road User Safety CS Cheng, Y Pi, T Lomax, N Duffield, AH Behzadan Computing in Civil Engineering 2023, 418-425, 2024 | | 2024 |
| Aerial Data and Processed Models of Port Arthur Coastal Neighborhood and Pleasure Island Golf Course, June 2024 L Luo, F Leite, CS Cheng, S Murphy Environmental System Science Data Infrastructure for a Virtual Ecosystem …, 2024 | | 2024 |
| Enhancing Public Engagement in Sustainable Systems through Augmented Reality YCL SMASCE, A Alsuhaibani ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2024 | | 2024 |
| Rapid and Automated Vision-Based Post-Disaster Building Debris Estimation CS Cheng, AH Behzadan, A Noshadravan Computing in Civil Engineering 2023, 60-67, 2024 | | 2024 |
| Post-Disaster Damage Assessment with Artificial Intelligence and Uncertainty Quantification CS Cheng | | 2023 |
Arash NoshadravanAssistant Professor of Civil Engineering, Texas A&M UniversityVerificeret mail på tamu.edu
