selected publications academic article Pi, Y., Nath, N. D., & Behzadan, A. H. Convolutional neural networks for object detection in aerial imagery for disaster response and recovery. Advanced Engineering Informatics. 43, 101009-101009. Pi, Y., Nath, N. D., Sampathkumar, S., & Behzadan, A. H. Deep Learning for Visual Analytics of the Spread of COVID-19 Infection in Crowded Urban Environments. Natural Hazards Review. 22(3), Pi, Y., Nath, N. D., & Behzadan, A. H. Detection and Semantic Segmentation of Disaster Damage in UAV Footage. Journal of Computing in Civil Engineering. 35(2), Pi, Y., Duffield, N., Behzadan, A., & Lomax, T. Lane-specific speed analysis in urban work zones with computer vision. Traffic Injury Prevention. 24(3), 242-250. Pi, Y., Ye, X., & Duffield, N. Rapid Damage Estimation of Texas Winter Storm Uri from Social Media Using Deep Neural Networks. Urban Science. 6(3), 62-62. Pi, Y., Duffield, N., Behzadan, A. H., & Lomax, T. Visual recognition for urban traffic data retrieval and analysis in major events using convolutional neural networks. Computational Urban Science. 2(1), 2. conference paper Pi, Y., Duffield, N., Behzadan, A. H., & Lomax, T. Computer Vision and Multi-Object Tracking for Traffic Measurement from Campus Monitoring Cameras. 950-958. Pi, Y., Nath, N. D., & Bezhadan, A. H. Deep Neural Networks for Drone View Localization and Mapping in GPS-Denied Environments. 1-16. Pi, Y., Nath, N. D., & Behzadan, A. H. Disaster Impact Information Retrieval Using Deep Learning Object Detection in Crowdsourced Drone Footage Mendes, E., Pi, Y., Tao, J., & Tedeschi, L. O. Evaluation of Computer Vision to Analyze Beef Cattle Feeding Behavior. Journal of Animal Science. 2-3. Tao, J., Mendes, E., Pi, Y., Cassity, A., Male, R. R., Kaniyamattam, K., Duffield, N., & Tedeschi, L. O. Hands-On Iii: Building Digital Twins for Precision Livestock Farming: Data Analytics and Big Data Challenges. Journal of Animal Science. 75-76. Canadinc, S. T., Wang, B., Pi, Y., & Yan, W. Multi-User and Web-based Parametric Modeling with Multiple Visual Programming Tools. ECAADE 2020: ANTHROPOLOGIC - ARCHITECTURE AND FABRICATION IN THE COGNITIVE AGE, VOL 1. 19-28. Cheng, C., Pi, Y., Lomax, T., Duffield, N., & Behzadan, A. H. Pedestrian Phone-Related Distracted Behavior Classification in Front-Facing Vehicle Cameras for Road User Safety. 418-425. institutional repository document Pi, Y., Mendes, E., Tedeschi, L. O., Tao, J., Reddy, S., & Duffield, N. Technical Note: Using Computer Visions Pixel Segmentation to Detect Beef Cattle Feeding Behavior
principal investigator on Rapid damage prediction from social media using historical big data and deep learning awarded by Microsoft - (Redmond, Washington, United States) 2021 - 2022
co-principal investigator on Developing a Computer Vision Data Pipeline for Bovine Respiratory Disease Prediction in Beef Cattle awarded by Texas A&M University - (College Station, Texas, United States) 2024 - 2026 Harnessing Precision Livestock Farming to Support Smart Agriculture for Sustainable Beef Cattle Production awarded by United States Department of Agriculture - (Washington D.C., District of Columbia, United States) 2023 - 2026 RESTORE Centers of Excellence: Towards Targeted Risk Mitigation: Community Engaged, Fast Impact Estimation of Extreme Weather using Big Social and Climate Data awarded by Texas Commission on Environmental Quality - (Austin, Texas, United States) 2024 - 2025
teaching activities ENGR689 Sptp: Ml For Cv Instructor ICPE639 Intro Machine Learning Engy Instructor ICPE642 Adv Machine Learning Engy Instructor
education and training Ph.D. in Architecture/Construction, Texas A&M University - (College Station, Texas, United States) 2020 M.S. in Civil Engineering, Wuhan Institute of Technology - (Wuhan, China) 2013 B.S. in Mechanical Engineering, Wuhan Textile University - (Wuhan, China) 2011 Texas A&M University - (College Station, Texas, United States) , Postdoctoral Training 2022