Hae-Bum Yun is an associate professor at the UCF Department of Civil, Environmental and Construction Engineering. His research interests include structural health monitoring, computer vision and machine learning, and spectroscopy-based noncontact sensing techniques for large civil infrastructure systems and networks. Yun's research has been supported by various public agencies and private companies, including the National Science Foundation, the U.S. Department of Transportation, the Florida Department of Transportation and the Korea Ministry of Land, Infrastructure and Transport. Dr. Yun received his doctoral degree from the University of Southern California and his M.S. from Carnegie Mellon University.

• Eslami, E*, and Yun, H.-B.+, Comparison of deep convolutional neural network classifiers and the effect of scale encoding for automated pavement assessment, Journal of Traffic and Transportation Engineering, Elsevier, 10(2), 258-275, 2023, https://doi.org/10.1016/j.jtte.2022.08.002.


• Elham Eslami, Hae-Bum Yun, “Improvement of Multiclass Classification of Pavement Objects Using Intensity and Range Images”, Journal of Advanced Transportation, vol. 2022, Article ID 4684669, 20 pages, 2022. https://doi.org/10.1155/2022/4684669


• Eslami, E.; Yun, H.-B., Attention-Based Multi-Scale Convolutional Neural Network (A+MCNN) for Multi-Class Classification in Road Images. Sensors 2021, 21, 5137. https://doi.org/10.3390/s21155137


• Alrowaimi, M, Chopra, M., Yun, H.-B.+, and Mokhtari, S.*, Experimental study of sinkhole failure related to groundwater level drops, ASTM Journal of Testing and Evaluation, 48, Published ahead of print, 01 November 2020, https://doi.org/10.1520/JTE20180064.


• Zijie Zhou*, Jeong Hoon Park, Gyu-Hong Kang and Hae-Bum Yun+, Feasibility of Noncontact Chemical Identification and Mapping for Steel Corrosion Using Portable Raman Spectroscopy, ASTM Journal of Testing and Evaluation, DOI: 10.1520/JTE20180634, 48, 6, (20180634), 2019.


• Yun, H.-B.+, Lee, K., Park, Y*, and Jung, D., Rail neutral temperature monitoring using non-contact photoluminescence piezospectroscopy: a field study at high-speed rail track, Elsevier Construction and Building Materials, 204(20), pp 357-370. 2019


• Yun, H.-B.+, Eslami, E*, and Zhou, L.*, Non-contact stress measurement from bare UHPC surface using Raman piezospectroscopy, Journal of Raman Spectroscopy, in press, Willey, 49(9) pp. 1540-1551, 2018


• Kim N, Yun H-B. Noncontact mobile sensing for absolute stress in rail using photoluminescence piezospectroscopy. Structural Health Monitoring. 2018;17(5):1213-1224. doi:10.1177/1475921717742102