Education

Academic Degrees

• PhD, Civil Engineering, University of Utah

Certifications

• PhD, PE

About Chun-Hsing (Jun) Ho

Dr. Chun-Hsing (Jun) Ho received his Ph.D. degree in civil engineering from the University of Utah in 2010 with an emphasis on construction materials and pavement systems. His research brings together emerging technologies using engineering principles, innovative construction materials, Internet of Things (IoT), data analytics, computing algorithms, sensing, and GIS mapping to provide a variety of analysis methods that allow his research team to better assess the performance of civil infrastructure systems and built environment under the effect of extreme events.  Prior to joining the faculty at UNL, Dr. Ho worked for Northern Arizona University in the Department of Civil Engineering, Construction Management and Environmental Engineering as Associate Professor for 10 years. Dr. Ho has 20 years of work experience from industry and academia in the areas of building construction, railroad engineering, airport engineering, and pavement engineering. Dr. Ho is a licensed professional engineer in the state of Washington.

Honors and Awards (2021-present)

• Holling Family Distinguished Senior Faculty Teaching Award, offered by the College of Engineering at the University of Nebraska-Lincoln, 03/25/2024.
• Best Oral Presentation Award, for the paper titled ‘Vibration Data Mining and Machine Learning for Anomaly Detection of Cycling Trails Using Instrumented Bike’ at the 9th International Conference on Big Data Analytics held on March 14-16, 2024 in Tokyo Japan.
• Fulbright US-Tampere University Award, awarded by US Department of  State, US Fulbright Foreign Scholarship Board and the Finland Fulbight Foundation. 02/07/2024.
• The Student Poster Competition at 2022 Arizona Pavements/Materials Conference, Overall Second place award (First place award  in the undergraduate student category), faculty advisor, organized by the Arizona DOT, Arizona State University, the Federal Highway Administration, 11/16-17, 2022, Tempe, AZ 
• The Student Poster Competition at 2021 Arizona Pavements/Materials Conference, Overall Second place award (First place award in undergraduate student category), faculty advisor, virtually organized by the Arizona DOT, Arizona State University, the Federal Highway Administration, 11/17-18, 2021, Tempe, AZ 
• The Student Poster Competition at 2021 Arizona Pavements/Materials Conference, Third place award (graduate student category), faculty advisor, virtually organized by the Arizona DOT, Arizona State University, the Federal Highway Administration, 11/17-18, 2021, Tempe, AZ 
• Featured in METRANs News (Research Highlight) Issue: July 2021. (https://www.metrans.org/news/-psr-researcher-chun-hsing-ho-identifies-cost-effective-sensor-technology-for-pavement-deterioration-and-distress) 
• Featured in Spring Newsletter 2021 as an Educator Aluminous issued by the Department of Civil and Environmental Engineering at University of Utah  (https://www.civil.utah.edu/wp-content/uploads/2021/04/Spring-2021-DRAFT-Newsletter.pdf?fbclid=IwAR23GMbztYdza3eUt4585DgKsHgGEgrzd5PLh9C0IdeTWZm6ZdBD2PnYnFU)   

Funding (2021-present)

• PI, Evaluating the Interoperability of Connected and Autonomous Vehicles and Signal Phasing and Timing Infrastructure, funded by Nebraska DOT, $185,796. 07/01/2025-05/31/2027. 
• PI, Development of Reliable Wireless Connectivity in Support of e-Ticketing System in Nebraska Rural Construction Sites, funded by Nebraska DOT, $173,485. 07/01/2025-05/31/2027.
• Co-PI, AI and Immersive AR/VR for Sustained Material and Construction Inspection Training,  funded by Nebraska DOT, $142,359. 07/01/2025-05/31/2027. PI: Kyungki Kim.
• Co-PI, Analyzing the Accessibility to Safe and Connected Biking Infrastructure Facilities: An Equity Perspective, funded by USDOT sponsored Mid-America Transportation Center program, $79,960. 12/01/2025-11/30/2026. PI: Yunping Liang.
• PI, The Effect of Nighttime Lighting Systems on Workers’ Visibility and Safety, funded by Federal Highway Administration Pooled Fund Program: The Smart Work Zone Deployment Initiative, lead agency: Iowa DOT, $79,996. 09/01/2024-11/30/2025.
• PI, Evaluation of Low-Temperature Cracking (LTC) Performance Testing Methods to Assess Nebraska Asphalt Mixtures, funded by Nebraska DOT, $152,382. 07/01/2024-05/31/2026.
• PI, Effect of Nighttime Lighting on Construction Workers’ Safety, funded by Nebraska DOT, $147,497. 07/01/2024-05/31/2026.
• Co-PI, Assessing Transportation Infrastructure Segments for Bike Suitability. Subcontract from USDOT University Transportation Center, Center for Connected Multimodal Mobility. Lead University: The Citadel, SC. UNL PI: Nathan Huynh. $50,000. 06/01/2023-09/30/2024
• Co-PI, Integration-Large: Husker-Net: Open Nebraska End-to-End Wireless Edge Networks, funded by National Science Foundation, PI: Qiung Li. 10/01/2023-09/31/2025, $875,000.
• PI, Leverage Vibration Data to Improve Highway Infrastructure Rideability and Roughness Prediction: Towards Advanced Integration of Vehicle Based Sensing and Full Car Model (Phase II), funded by US Department of Homeland Security. 03/01/2022-02/28/2023. $84,944 ($50,000+cost share $34,944).  
• PI, Development of Instrumented Bikes: Toward Smart Cycling Infrastructure and Maintenance, funded by the US Department of Transportation: 08/16/2021-08/15/2022. $200,442($99,996+ cost share $100,446).  
• PI, Summer Research Team Program: Integration of vehicle based sensing and vehicle dynamic model in evaluating resilience of highway infrastructure (Phase I), funded by the US Department of Homeland Security. 06/01/2021-08/06/2021. $24,000    
• Co-PI, NAU Research Equipment Acquisition Program (REAP) Award: TA Instruments Discovery Series Differential Scanning Calorimeter/Thermogravimetric Analyzer. 11/2020-10/2021. $96,200.   

• PI, Development of Cost-Effective Sensing Systems and Analytics (CeSSA) to Monitor Roadway Conditions and Mobility Safety. Funded by the US Department of Transportation: 01/06/2020-01/05/2021. $183,276 ($91,638 + cost share $91,638). 

   

Selected Publications

1. Ho, C.-H., Ren, K., and Zhang D. “Using Sensing, Statistical, and Numerical Analysis Approaches to Evaluate the Effect of Temperature Change on the Resilient Performance of Highway Pavements”, Transportation Engineering (2025), https://doi.org/10.1016/j.treng.2025.100311
2. Michalaka, D., Ho, C.-H., Ren, K., Chen, Y., Hao, X., Brown K., Huynh, N., and David, W., J., “Assessing Bike Suitability of Transportation Infrastructure Segments” TRBAM-25-04657, proceedings in the 2025 Annual Meeting of Transportation Research Board, Washington DC, January 6-11, 2025.
3. Ren, K. and Ho, C.-H. “Enhancing Anomaly Detection in Cycling Paths Using a Hybrid LSTM-VQ-VAE Deep Learning Model.” Proceedings in the 2024 7th Artificial Intelligence and Cloud Computing Conference, December 14-16, Tokyo, Japan.
4. Ho, C. -H. and Ren, K., "Vibration Data Mining and Machine Learning for Anomaly Detection of Cycling Trails Using Instrumented Bike," 2024 9th International Conference on Big Data Analytics (ICBDA), Tokyo, Japan, 2024, pp. 123-127, doi: 10.1109/ICBDA61153.2024.10607239
5. Zhang, D., & Ho, C. H. (2024). Distribution fitting and ANOVA test to analyze pavement sensing patterns for condition assessments. Built Environment Project and Asset Management. https://doi.org/10.1108/BEPAM-10-2023-0185
6. Ho, C. H., Qiu, P., Zhang, Y., & Ren, K. (2024). A Generic Deep Learning–Based Computing Algorithm in Support of the Development of Instrumented Bikes. ASCE OPEN: Multidisciplinary Journal of Civil Engineering, 2(1), 04024003. https://doi.org/10.1061/AOMJAH.AOENG-0025
7. Ho, C.H., Zhang, D., & Snyder, M. (2023, July). State-of-The-Art Pavement Sensing Technology to Evaluate the Effect of Climate Change on Resilient Performance of Highway Infrastructure Systems: A Pilot Study in the Phoenix Region. In International Conference on Intelligent Autonomous Systems (pp. 469-479). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-44851-5_36  
8. Ho, C.-H.; DeGeyter, J.; Zhang, D. Five-Year Performance Evaluation of Geogrid Reinforcement in Low-Volume Unpaved Roads Using Dynamic Cone Penetrometer, Plate Load Test and Roadway Sensing. Geotechnics 2023, 3, 306-319. https://doi.org/10.3390/geotechnics3020018 
9. Zhang, D., Ho, C.H., and Zhang, F. (2023). Evaluating the impact of factors in vehicle based pavement sensing implementation: sensor placement, pavement temperature, speed, and threshold, Journal of Infrastructure Preservation and Resilience, 4, 1 (2023), https://doi.org/10.1186/s43065-022-00065-2
10. Ho, C.H., Abdelaziz, A., Zhang, D and Zhao, P. (2022). Mitigating excavation-induced surface settlement and building tilting: a case study. Proceeding in the 11th International Conference on the Bearing Capacity of Roads, Railways and Airfields (BCRRA 2022). 28-30 June 2022 in Trondheim, Norway. 
11. Ho, C.H., Qiu, P., Gao, J., and Zhang, Y. (2022). A Generic Machine Learning Based Technique in Support of Development of Instrumented Bike: Toward Automatically Real-time Cracks/Potholes Classification & Localization. In the proceedings of 2022 Annual Meeting of the Transportation Research Board (#TRBAM-22-00647). 
12. Zhang, D., Ho, C.H., and Zhang, F. (2022). Evaluating the Impact of Factors in Vehicle Based Pavement Sensing Implementation: sensor placement, pavement temperature, speed, and threshold. In the proceedings of 2022 Annual Meeting of the Transportation Research Board (TRBAM-22-01558).  
13. Barbieri, D.M., Hoff, I. & Ho, C.H. (2021). Crushed rocks stabilized with organosilane and lignosulfonate in pavement unbound layers: Repeated load triaxial tests. Front. Structure and CivilEngineering. 2021, 5(2): 412-424. https://doi.org/10.1007/s11709-021-0700-5 
14. Ho, C. H., Gao, J., Snyder, M., & Qiu, P. (2021). Development and Application of Instrumented Bicycle and Its Sensing Technology in Condition Assessments for Bike Trails. Journal of Infrastructure Systems, 27(3), 04021027. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000632   
15. Zhao, P. He, Y., Li, S., Ho, C.H., Zhu, S., Kong, X., and Barbieri, D.M. (2021). Mechanical Properties and Energy Dissipation Characteristics of Coal–Rock-like Composite Materials Subjected to Different Rock–Coal Strength Ratios.  Natural Resources Research, 30(3), 2179-2193. https://doi.org/10.1007/s11053-021-09850-4  
16. Zhao, P. Zhuo, R., Li, S. Shu, C.M., Jia, Y., Lin, H., Chang, Z, Ho, C.H., Bin, L, Xiao, P. (2021), Fractal characteristics of methane migration channels in inclined coal seams, Energy, 2021, 120127, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2021.120127.  
17. Passavanti, M., Argentieri, A. Barbieri, D.M., Lou, B., Wijayaratna, K., Mirhosseini, A.S.F, Wang, F., Naseri, S., Qamhia, I., Tangerås, M., Pelliciari, M., and Ho, C.H. (2021). The psychological impact of COVID-19 and restrictive measures in the world, Journal of Affective Disorders, 283:36-51, https://doi.org/10.1016/j.jad.2021.01.020  
18. Gao, J., Ho, C.H., Wiese, I., Zhang, D., and Gerosa, M. (2021). The Pavement Condition Assessment and Prediction System based on Machine Learning Technology. In the proceedings of 2021 Annual Meeting of Transportation Research Board in Washington D.C. TRBAM-21-03949. https://trid.trb.org/view/1759042  
19. Zhang, D., Ho, C.H., and Zhang, F. (2021). Using Regression Analysis and Distribution Fitting to Analyze Pavement Sensing Patterns for Condition Assessments. In the proceedings of 2021 Annual Meeting of Transportation Research Board in Washington D.C. TRBAM-21-04008. https://trid.trb.org/view/1759953