Pavement Management System, Artificial Intelligence, Machine/Deep Learning, Structural Health Monitoring, Computer Vision, Virtual Reality, System Identification
教授科目:
結構學、應用力學
工程二館322室
54940
huan1152[at]nycu.edu.tw
經歷
主要參與計畫
個人著作
個人資源
2025/02~迄今 國立陽明交通大學 土木工程學系 助理教授
2024/01~2024/12 美國普度大學 土木與建築工程學系 博士後研究員
Intelligent Pavement Condition Assessment Using OEM-Integrated Vehicle Sensing and Multi-Data Fusion, Principal Investigator, National Science and Technology Council, Taiwan, Project Number: 114-2222-E-A49-003-MY2, Project Duration: 04/01/2025-03/31/2027
期刊論文
Huang, Y. T., Fernandez Vasquez L. D., Sankar, N. V, Jahanshahi, M. R., Dyke S. J, Marino A. P., and Rearick A. (2025). Investigating Consistency Among Bridge Inspectors Using Simulated Virtual Reality Testbed. Accepted by Journal of Bridge Engineering, American Society of Civil Engineers (ASCE)
Huang, Y. T., Jahanshahi, M. R., Vijaya Sankar, N., & Shen, F. (2025). Affordable, Autonomous, and Comprehensive Road Condition Assessment Using RGB-D Sensors: Enhancing Pavement Condition Evaluation. Accepted by IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2025.3588921
Huang, Y. T., Jahanshahi, M. R., Shen, F., & Mondal, T. G. (2023). Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification. Journal of Transportation Engineering, Part B: Pavements, 149(2), 04023010.
Fernandez-Campos, M., Huang, Y. T., Jahanshahi, M.R., Wang, T., Jin, J., Telenko, D.E., Góngora-Canul, C. and Cruz, C.D., (2021). Wheat spike blast image classification using deep convolutional neural networks. Frontiers in Plant Science, 12, p.1054.
Loh, C. H., Huang, Y. T., Hsueh, W., Chen, J. D., & Lin, P. Y. (2017). Visualization and dimension reduction of high dimension data for structural damage detection. Procedia Engineering, 188, 17-24.
Loh, C.H., Loh, K.J., Yang, Y.S., Hsiung, W.Y., Huang, Y. T., (2017). Vibration‐based system identification of wind turbine system. Structural Control and Health Monitoring, 24(3), p. e1876.
Loh, C.H., Huang, Y. T., Hsiung, W.Y., Yang, Y.S., Loh, K.J., (2015). Vibration-based identification of rotating blades using Rodrigues' rotation formula from a 3-D measurement. Wind and Structures, 21(6), pp.677-691.
會議論文
Huang, Y. T., Fernandez Vasquez L. D., Sankar, N. V, Jahanshahi, M. R., Dyke S. J, Marino A. P., and Rearick A., (2025) Assessing Variability in Bridge Inspection Through Virtual Reality, Engineering Mechanics Institute (EMI) Conference. Anaheim, CA.
Sankar, N. V., Huang, Y. T., Jahanshahi, M. R., (2025) AI-Driven, Automated, and Affordable Road Condition Assessment, Engineering Mechanics Institute (EMI) Conference. Anaheim, CA.
Huang, Y. T., Jahanshahi, M. R., and Sankar, N. V., (2025) Pavement Rehabilitation Training for Frontline Employees through Virtual Reality Simulation of Field Conditions. Transportation Research Board (TRB) Annual Meeting, Washington, DC
Huang, Y. T., Mondal, T. G., Jahanshahi, M. R., Dyke S. J., Nantung T. E. and Kraushar M., (2025) Automated Road Condition Analysis Using Cost-Effective RGB-D Sensors. Transportation Research Board (TRB) Annual Meeting, Washington, DC
Shin, B., Tang, W., Huang, Y. T., Zhu, K., Lowther, J., Colwes, K., Tyra, A., Munro, K., Kumar, S., Jahanshahi, M. R. (2024). Data Fusion for Road Assessment: Leveraging FWD Measurements and Computer Vision. Purdue Joint Transportation Research Program (JTRP) and Indiana Department of Transportation. Indianapolis, IN
Huang, Y. T., Sankar, N. V., Jahanshahi, M. R., & Shen F. (2023). Revolutionizing Road Maintenance: A Data Fusion and AI-Based Approach. 14th International Workshop on Structural Health Monitoring (IWSHM). Stanford University, CA
Huang, Y. T., Sankar, N. V., Jahanshahi, M. R., & Shen F. (2023). Autonomous Pavement Surface Evaluation and Rating (PASER) Condition Assessment Using a Cost-effective RGB-D Data Acquisition System. Engineering Mechanics Institute (EMI) Conference. Atlanta, GA
Huang, Y. T., Jahanshahi, M. R., & Shen F. (2022). Inexpensive road condition assessment using an RGBD-based deep convolutional encoder-decoder segmentation. 8th World Conference on Structural Control and Monitoring (8WCSCM). Orlando, FL
Huang, Y. T., Jahanshahi, M. R., & Shen F. (2022). Toward Crowdsourcing-based condition assessment of roads using deep learning and data fusion. Engineering Mechanics Institute (EMI) Conference. Baltimore, MA. Runner-up of the Best Student Paper Award in ASCE Engineering Mechanics Institute (EMI)
Huang, Y. T., Mondal, T. G., & Jahanshahi, M. R. (2022). Virtual reality for pavement preservation treatment training. 2022 Purdue Road School Transportation Conference & Expo. Purdue University, IN
Huang, Y. T., Mondal, T. G., Jahanshahi, M. R. & Dyke S. J. (2022). Virtual Reality-based Training of Frontline Employees. Purdue Joint Transportation Research Program (JTRP) and Indiana Department of Transportation. Indianapolis, IN
Huang, Y. T., Mondal, T. G., Jahanshahi, M. R. & Dyke S. J. (2020). Frontline Employee Training Using Virtual Reality Simulation of Field Conditions. Purdue Joint Transportation Research Program (JTRP) and Indiana Department of Transportation. Indianapolis, IN