| Deep learning for site safety: Real-time detection of personal protective equipment ND Nath, AH Behzadan, SG Paal Automation in Construction 112, 103085, 2020 | 295 | 2020 |
| Ergonomic analysis of construction worker's body postures using wearable mobile sensors ND Nath, R Akhavian, AH Behzadan Applied ergonomics 62, 107-117, 2017 | 248 | 2017 |
| Convolutional neural networks for object detection in aerial imagery for disaster response and recovery Y Pi, ND Nath, AH Behzadan Advanced Engineering Informatics 43, 101009, 2020 | 195 | 2020 |
| Automated ergonomic risk monitoring using body-mounted sensors and machine learning ND Nath, T Chaspari, AH Behzadan Advanced Engineering Informatics 38, 514-526, 2018 | 116 | 2018 |
| Deep convolutional networks for construction object detection under different visual conditions ND Nath, AH Behzadan Frontiers in Built Environment 6, 97, 2020 | 65 | 2020 |
| Detection and semantic segmentation of disaster damage in UAV footage Y Pi, ND Nath, AH Behzadan Journal of Computing in Civil Engineering 35 (2), 04020063, 2021 | 39 | 2021 |
| Drone mapping of damage information in GPS-Denied disaster sites ND Nath, CS Cheng, AH Behzadan Advanced Engineering Informatics 51, 101450, 2022 | 21 | 2022 |
| Single-and multi-label classification of construction objects using deep transfer learning methods. ND Nath, T Chaspari, AH Behzadan J. Inf. Technol. Constr. 24, 511-526, 2019 | 20 | 2019 |
| Construction Productivity and Ergonomic Assessment Using Mobile Sensors and Machine Learning ND Nath, AH Behzadan Computing in Civil Engineering 2017, 434-441, 2017 | 18 | 2017 |
| Disaster impact information retrieval using deep learning object detection in crowdsourced drone footage Y Pi, ND Nath, AH Behzadan EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings …, 2020 | 13 | 2020 |
| Deep learning for visual analytics of the spread of COVID-19 infection in crowded urban environments Y Pi, ND Nath, S Sampathkumar, AH Behzadan Natural Hazards Review 22 (3), 04021019, 2021 | 11 | 2021 |
| Deep generative adversarial network to enhance image quality for fast object detection in construction sites N Nath, AH Behzadan 2020 Winter Simulation Conference (WSC), 2447-2459, 2020 | 10 | 2020 |
| Deep learning detection of personal protective equipment to maintain safety compliance on construction sites ND Nath, AH Behzadan Construction Research Congress 2020, 181-190, 2020 | 10 | 2020 |
| Deep learning models for content-based retrieval of construction visual data ND Nath, AH Behzadan ASCE International Conference on Computing in Civil Engineering 2019, 66-73, 2019 | 10 | 2019 |
| Construction Ergonomic Risk and Productivity Assessment Using Mobile Technology and Machine Learning ND Nath Missouri State Univerisy, 2017 | 7 | 2017 |
| Deep neural networks for drone view localization and mapping in GPS-denied environments Y Pi, ND Nath, AH Behzadan 18th international conference on computing in civil and building engineering …, 2020 | 5 | 2020 |
| Human-centered computing and visual analytics for future of work in construction ND Nath Texas A&M University, 2021 | 3 | 2021 |
| Human activity recognition and mobile sensing for construction simulation ND Nath, P Shrestha, AH Behzadan Simulation Conference (WSC), 2017 Winter, 2448-2459, 2017 | 3 | 2017 |
| Artificial Intelligence in the Construction Industry: Theory and Emerging Applications for the Future of Work AH Behzadan, ND Nath, R Akhavian Leveraging Artificial Intelligence in Engineering, Management, and Safety of …, 2022 | 1 | 2022 |
| Applications of artificial intelligence technologies in opioid research and practice: An evidence-based systematic review M Hossain, S Tasnim, A Arman, SA Sarwar, P Paromita, ND Nath, Q Fan, ... APHA’s 2020 VIRTUAL Annual Meeting and Expo, 2020 | 1 | 2020 |
Amir Behzadan, Ph.D., M.ASCEProfessor, University of Colorado BoulderVerified email at colorado.edu
