Dr. Chun-Hsing (Jun) Ho is an Associate Professor in the Durham School of Architectural Engineering and Construction here at the University of Nebraska-Lincoln and has held this position since 2022. In March he received the Holling Family Distinguished Senior Faculty Teaching Award offered by the college of Engineering. He earned his PhD in Civil Engineering from the University of Utah in 2010 with an emphasis on construction materials and pavement systems. Dr. Ho has 20 years of experience in the industry and academia in the areas of building construction, railroad engineering, airport engineering, and pavement engineering, and is a licensed professional engineer in the state of Washington.
Dr. Ho was selected as a Fulbright U.S. Scholar for the 2024-25 academic year in March. The Fulbright Award will support six months of Dr. Ho’s research in Finland, which will begin in January 2025. He will be collaborating with Dr. Pauli Kolisoja, professor at Tampere University and head of the Terra Road Division to study how freeze-thaw cycles and moisture damage affect pavement performance on highways. The research will provide a list of recommendation for mix design and mixture selection to Finnish transport infrastructure agency to improve the pavement performance in Finnish highway network.
At the 2024 9th International Conference on Big Data Analytics (ICBDA), Dr. Ho received an award for the Best Oral Presentation at the International Conference on Big Data Analytics along with graduate student Kewei Ren for presenting on their research titled “Vibration Data Mining and Machine Learning for Anomaly Detection of Cycling Trails Using Instrumented Bike.” The project introduced the instrumented bike and its application in quality assessment of cycling trails and was a part of research project sponsored by the USDOT’s Center for Multimodal Mobility where he was instrumental by the research team to collect cycling data and analyze vibration data patterns for anomaly detection on cycling trails.
Some of his ongoing projects include “The Effect of Nighttime Lighting Systems on Workers’ Visibility and Safety”, “Evaluation of Low-Temperature Craching (LTC) Performance Testing Methods to Assess Nebraska Asphalt Mixtures”, “Effect of Nighttime Lighting on Construction Workers’ Safety”, and “Integration-Large: Husker-Net: Open Nebraska End-to-End Wireless Edge Networks”.
Dr. Ho’s published works from this year include “Distribution fitting and ANOVA test to analyze pavement sensing patterns for condition assessments”, published in Built Environment Project and Asset Management. The project used Analysis of Variance (ANOVA) testing to investigate the effects of vehicle-based sensor placement and pavement temperature on road condition assessment and computed a threshold value for the classification of pavement conditions. “A Generic Deep Learning-Based Computing Algorithm in Support of the Development of Instrumented Bikes”, published in ASCE OPEN: Multidisciplinary Journal of Civil Engineering, introduced a generic deep learning-based method using a sliding window computing algorithm based on long short-term memory (LSTM) networks to classify potential anomalies such as cracks, potholes, and uneven surfaces in support of the development of an instrumented bike.
