Hongki Jo

Associate Professor of Civil and Architectural Engineering and Mechanics

Hongki Jo is an assistant professor of civil engineering and engineering mechanics at the University of Arizona. He holds a BS and MS in civil engineering (Korea Advanced Institute of Science and Technology, 1999, 2001) and PhD in civil engineering (University of Illinois at Urbana-Champaign, 2013). Prior to starting his PhD study, he worked as a professional bridge engineer in the Seoyeong Engineering Co., Ltd., Korea in 2001-2007. He teaches the reinforced concrete structure design (CE335 & CE437/537) and advanced structural dynamics (EM634). His research interests are in the development of the next-generation of smart technologies for innovating the way civil systems are monitored, protected, and rehabilitated; which include, but are not limited to, structural health monitoring, wireless smart sensor networks, bio-inspired sensing technologies, computer vision-base sensing, structural damage identification, advanced functional materials, seismic retrofit and rehabilitation, earthquake/wind/bridge engineering, energy harvesting and full-scale dynamic testing.

Degrees

  • PhD Civil Engineering
    • University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
    • Multi-scale Structural Health Monitoring using Wireless Smart Sensors
  • MS Civil Engineering
    • Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
    • Natural Frequency and Mode shape Sensitivity of Damped Systems
  • BS Civil Engineering
    • Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

Work Experience

  • University of Illinois at Urbana-Champaign (2007 - 2013)
  • Seoyeong Engineering Co., Ltd. (2001 - 2007)
  • Korea Advanced Institute of Science and Technology (KAIST) (1999 - 2001)

Interests

Teaching

Reinforced concrete structure design, steel structure design, structural analysis, structural dynamics, experimental dynamics, statics, solid mechanics

Research

Structural health monitoring, structural risk assessment, wireless smart sensor networks, biomedical sensing technologies, computer vision-base sensing, structural damage identification, advanced functional materials, seismic retrofit and rehabilitation, bridge performance evaluation, energy harvesting, full-scale dynamic testing

Courses

View the full course list in UA Profiles.

Selected Publications

Chapters

  • Jeong, J., & Jo, H. (2022). Smartphone-Based Civil Infrastructure Health Monitoring. In Recent Developments in Structural Health Monitoring and Assessment — Opportunities and Challenges(pp Chapter 12).

Journals/Publications

  • Jeong, J., & Jo, H. (2024). Toward Real-World Implementation of Deep Learning for Smartphone-Crowdsourced Pavement Condition Assessment. IEEE Internet of Things Journal, 11(4), 6328-6337.
  • Liu, H., Laflamme, S., Taher, S., Jeong, J., Li, J., Bennett, C., Collins, W., Eisenmann, D., Dawney, A., Ziehl, P., & Jo, H. (2023). INVESTIGATION OF SOFT ELASTOMERIC CAPACITOR FOR THE MONITORING OF LARGE ANGULAR MOTIONS. Materials Evaluation, 81(2), 46-51.
  • Ogunniyi, E., Vareen, A., Downey, A., Laflamme, S., Li, J., Bennett, C., Collins, W., Jo, H., Henderson, A., & Ziehl, P. (2023). Investigation of electrically isolated capacitive sensing skins on concrete to reduce structure/sensor capacitive coupling. Measurement Science and Technology, 34(5), 055113.
  • Jeong, J., & Jo, H. (2022). Real-time generic target tracking for structural displacement monitoring under environmental uncertainties via deep learning. Structural Control and Health Monitoring, 29(3), e2902.
  • Jeong, J., Jo, H., Laflamme, S., Li, J., Downey, A., Bennett, C., Collins, W., Taher, S. A., Liu, H., & Jung, H. (2022). Automatic control of AC bridge-based capacitive strain sensor interface for wireless structural health monitoring. Measurement, 202, 111789.
  • Liu, H., Laflamme, S., Li, J., Bennett, C., Collins, W. N., Eisenmann, D. J., Downey, A., Ziehl, P., & Jo, H. (2022). Investigation of textured sensing skin for monitoring fatigue cracks on fillet welds. Measurement Science and Technology, 33(8), 084001.
  • Taher, S. A., Li, J., Jeong, J., Laflamme, S., Jo, H., Bennett, C., Collins, W. N., & Downey, A. (2022). Structural Health Monitoring of Fatigue Cracks for Steel Bridges with Wireless Large-Area Strain Sensors. Sensors, 22(14).
  • Jeong, J., & Jo, H. (2021). Deep reinforcement learning for automated design of reinforced concrete structures. Computer-Aided Civil and Infrastructure Engineering, 36(12), 1508-1529.
  • Liu, H., Laflamme, S., Li, J., Bennett, C., Collins, W. N., Downey, A., Ziehl, P., & Jo, H. (2021). Soft Elastomeric Capacitor for Angular Rotation Sensing in Steel Components. Sensors, 21(21).
  • Liu, H., Laflamme, S., Li, J., Bennett, C., Collins, W., Downey, A., Ziehl, P., & Jo, H. (2021). Investigation of surface textured sensing skin for fatigue crack localization and quantification. Smart Materials and Structures, 30(10), 105030.
  • Saleem, M. M., & Jo, H. (2021). Multi-objective sensor placement optimization for structural response estimation under spatially varying dynamic loading of bridges. Advances in Structural Engineering, 24(10), 2255-2266.
  • Ahamed, T., Duan, J. G., & Jo, H. (2020). Flood-fragility analysis of instream bridges - consideration of flow hydraulics, geotechnical uncertainties, and variable scour depth. Structure and Infrastructure Engineering, 1-14.
  • Ammann, K., Ahamed, T., Sweedo, A., Ghaffari, R., Weiner, Y., Slepian, R., Jo, H., & Slepian, M. J. (2020). Human motion component and envelope characterization via wireless wearable sensors. BMC Biomedical Engineering. doi.org/10.1186/s42490-020-0038-4
  • Jeong, J., Jo, H., & Ditzler, G. (2020). Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING.
  • Jeong, J., Xu, J., Jo, H., Li, J., Kong, X., Collins, W., Bennett, C., & Laflamme, S. (2018). Development of wireless sensor node hardware for large-area capacitive strain monitoring. SMART MATERIALS AND STRUCTURES, 28(1).

Proceedings Publications

  • Nishat, T., Jeong, J., Jo, H., Zhou, Q., & Liu, J. (2023). Actively managed battery degradation of wireless sensors for structural health monitoring. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023, 12486.
  • Ogunniyi, E. A., Liu, H., Downey, A., Laflamme, S., Li, J., Bennett, C., Collins, W., Jo, H., & Ziehl, P. (2023). Soft elastomeric capacitors with an extended polymer matrix for strain sensing on concrete. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023, 12486.
  • Taher, S. A., Li, J., Jeong, J., Laflamme, S., Jo, H., Bennett, C., Collins, W., Liu, H., Downey, A., & Shaheen, M. (2022). Long-term field monitoring of fatigue cracks for steel bridges with wireless large-area strain sensors. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2022, 12046.
  • Liu, H., Laflamme, S., Li, J., Bennett, C., Collins, W., Downey, A., & Jo, H. (2021). Experimental validation of textured sensing skin for fatigue crack monitoring. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2021, 11591.
  • Vereen, A. B., Downey, A., Sockalingham, S., Ziehl, P., LaFlamme, S., Li, J., & Jo, H. (2021). Monitoring impact damage in composites with large area sensing skins. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2021, 11591.
  • Kong, X., Jeong, J. H., Asadollahi, P., Fu, Y., Jo, H., Bennett, C., Collins, W., Laflamme, S., & Li, J. (2019). Wireless soft elastomeric capacitor sensor network for long-term fatigue crack monitoring of steel bridges. In 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019.
  • Ahamed, T., Shim, J., Jo, H., & Duan, J. G. (2018, March). Flood fragility analysis of instream bridges. In SPIE Smart Structures/NDE.
  • Jeong, J., Xu, J., Jo, H., Li, J., Kong, X., Collins, W., Bennett, C., & Laflamme, S. (2018, March). Capacitance-based wireless strain sensor development. In SPIE Smart Structures/NDE.
  • Kong, X., Li, J., Collins, W., Bennett, C., Jo, H., Jeong, J., & Laflamme, S. (2018, March). Dense capacitive sensor array for monitoring distortion-induced fatigue cracks in steel bridge. In SPIE Smart Structures/NDE.
  • Kong, X., Li, J., Collins, W., Bennett, C., Laflamme, S., & Jo, H. (2018, January). Thin-film sensor for fatigue crack monitoring in steel bridges under varying crack growth rate and random traffic load. In TRB 97th Annual Meeting.
  • Saleem, M. M., & Jo, H. (2018, March). Heterogeneous data fusion for impact force identification in truss structure. In SPIE Smart Structures/NDE.
  • Ahamed, T., Shim, J., Jeong, J., Jo, H., & Duan, J. G. (2017, May). Advanced signal processing of sonar measurement for bridge scour monitoring. In the World Environmental and Water Resources Congress.
  • Kong, X., Li, J., Collins, W., Bennett, C., Laflamme, S., & Jo, H. (2017, Spring). A robust signal processing method for quantitative high-cycle fatigue crack monitoring using soft elastomeric capacitor sensors. In SPIE Smart Structures/NDE.
  • Lee, S., Jeong, J., Knez, K. P., Min, J., & Jo, H. (2016, March). Practical application of RINO, a smartphone-based dynamic displacement sensing application for wind tunnel tests. In SPIE Smart Structures/NDE.
  • Melvin, D., Khodabandeloo, B., & Jo, H. (2016, March). Multi-metric strain estimation at unmeasured locations of plate structures using augmented Kalman filter. In SPIE Smart Structures/NDE.

Others

  • Jo, H. (2013, August). Multi-scale structural health monitoring using wireless smart sensors. Desertation, University of Illinois at Urbana-Champaign.

Awards

  • Brain Pool Research Fellowship
    • National Research Foundation of Korea, Fall 2020
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