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Civil Engineering 220D
Hongki Jo
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Assistant Professor of Civil and Architectural Engineering and Mechanics
Hongki Jo's Full CV (PDF)
- Dr. Jo is an assistant professor in Civil Engineering and Engineering Mechanics at the University of Arizona. He holds a B.S. and M.S. in Civil Engineering (Korea Advanced Institute of Science and Technology, 1999, 2001) and Ph.D. in Civil Engineering (University of Illinois at Urbana-Champaign, 2013). Prior to starting his Ph.D. study, he has 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 our civil systems are monitored, protected, and rehabilitated; which include, but 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, full-scale dynamic testing.
Degrees
- Ph.D. Civil Engineering
- University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
- Multi-scale Structural Health Monitoring using Wireless Smart Sensors
- M.S. Civil Engineering
- Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
- Natural Frequency and Mode shape Sensitivity of Damped Systems
- B.S. Civil Engineering
- Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
Work Experience
- Graduate Research Assistant, University of Illinois at Urbana-Champaign (2007 - 2013)
- Senior Engineer/Manager, Seoyeong Engineering Co., Ltd. (2001 - 2007)
- Graduate Research Assistant, 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- Bio, Medical 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
Research Topics
CE 596A (Spring 2018)
EM 596A (Spring 2017)
CE 596A (Spring 2017)
Dissertation
CE 920 (Spring 2018)
CE 920 (Fall 2017)
CE 920 (Spring 2017)
Adv Struc Dynamics
EM 634 (Fall 2017)
Thesis
CE 910 (Fall 2017)
CE 910 (Summer I 2017)
CE 910 (Spring 2017)
CE 910 (Fall 2016)
Structural Dsgn:Concrete
CE 335 (Fall 2017)
CE 335 (Fall 2016)
Independent Study
CE 599 (Spring 2017)
Adv Struc Dsgn Concrete
CE 437 (Spring 2017)
CE 537 (Spring 2017)
Statics
CE 214 (Fall 2016)
Research
CE 900 (Fall 2016)
Selected Publications
Journals/Publications
- Khodabandeloo, B., Melvin, D., & Jo, H. (2017). Model-Based Heterogeneous Data Fusion for Reliable Force Estimation in Dynamic Structures under Uncertainties. SENSORS, 17(11).
- Kong, X., Li, J., Collins, W., Bennett, C., Laflamme, S., & Jo, H. (2017). A large-area strain sensing technology for monitoring fatigue cracks in steel bridges. SMART MATERIALS AND STRUCTURES, 26(8).
- Spencer Jr., B. F., Parka, J., Mechitov, K. A., Jo, H., & Agha, G. (2017). Next generation wireless smart sensors toward sustainable civil infrastructure. Procedia Engineering, 171, 5-13.
- Jo, H. (2016). Reference-Free Displacements for Condition Assessment of Timber Railroad Bridges. Journal of Bridge Engineering, 21, 04015052.
- Spencer, B. F., Jo, H., Mechitov, K. A., Li, J., Sim, S., Kim, R. E., Cho, S., Linderman, L. E., Moinzadeh, P., Giles, R. K., & Agha, G. (2015). Recent advances in wireless smart sensors for multi-scale monitoring and control of civil infrastructure. Journal of Civil Structural Health Monitoring, 6, 17--41.
- Xu, J., & Jo, H. (2015). Development of High-Sensitivity and Low-Cost Electroluminescent Strain Sensor for Structural Health Monitoring. IEEE SENSORS JOURNAL, 16(7), 1962-1968.
- An, Y., Jo, H., Spencer Jr, B., & Ou, J. (2014). A damage localization method based on the ‘jerk energy’. Smart Materials and Structures, 23(2), 025020.
- Linderman, L. E., Jo, H., & Spencer, B. (2014). Low-Latency Data Acquisition Hardware for Real-Time Wireless Sensor Applications. Sensors Journal, IEEE, 15(3), 1800-1809.
- Moreu, F., Jo, H., Li, J., Kim, R., Cho, S., Kimmle, A., Scola, S., Le, H., Spencer Jr, B., & LaFave, J. (2014). Dynamic Assessment of Timber Railroad Bridges Using Displacements. Journal of Bridge Engineering.
- Sim, S., Li, J., Jo, H., Park, J., Cho, S., Spencer Jr, B. F., & Jung, H. (2014). A wireless smart sensor network for automated monitoring of cable tension. Smart Materials and Structures, 23(2), 025006.
- Jo, H., Park, J., Spencer Jr, B., & Jung, H. (2013). Develoment of high-sensitivity wireless strain sensor for structural health monitoring. Smart Structures and Systems, 11(5), 477--496.
- Jo, H., Sim, S., Tatkowski, A., Spencer, B., & Nelson, M. E. (2013). Feasibility of displacement monitoring using low-cost GPS receivers. Structural Control and Health Monitoring, 20(9), 1240--1254.
- Jang, S., Sim, S., Jo, H., & Spencer Jr, B. F. (2012). Full-scale experimental validation of decentralized damage identification using wireless smart sensors. Smart Materials and Structures, 21(11), 115019.
- Jo, H., Sim, S., Nagayama, T., & Spencer Jr, B. (2012). Development and application of high-sensitivity wireless smart sensors for decentralized stochastic modal identification. Journal of Engineering Mechanics, 138(6), 683--694.
- Park, J., Jung, H., Jo, H., & Spencer, B. F. (2012). Feasibility study of micro-wind turbines for powering wireless sensors on a cable-stayed bridge. Energies, 5(9), 3450--3464.
Proceedings Publications
- 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.
- Min, J., Gelo, N. J., & Jo, H. (2016, March). Real-time image processing for non-contact monitoring of dynamic displacements using smartphone technologies. In SPIE Smart Structures/NDE.
- Shim, J., Duan, J. G., & Jo, H. (2016, Spring). Simulating Sediment Transport around a Bridge Pier Using Open FOAM Software. In World Environmental and Water Resources Congress.
- Touhid, A., Shim, J., Jo, H., & Duan, J. G. (2016, Spring). Feasibility Test of Low-cost Sonar Sensors for Bridge Scour Monitoring. In World Environmental and Water Resources Congress.
- Xu, J., & Jo, H. (2016, March). High-sensitivity strain visualization using electroluminescence technologies. In SPIE Smart Structures/NDE.
- Jo, H., & Spencer, B. (2014, March). Multi-metric model-based structural health monitoring. In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, 90611F--90611F.
- Sim, S., Li, J., Jo, H., Park, J., Cho, S., Spencer, B. F., & Yun, C. (2013). Automated wireless monitoring system for cable tension using smart sensors. In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, 86922B--86922B.
- Cho, S., Spencer Jr, B. F., Jo, H., Li, J., & Kim, R. E. (2012, March). Sensing & Measurement Bridge monitoring using wireless smart sensors. In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring.
- Jo, H., Park, J., Spencer Jr, B., & Jung, H. (2012). Design and validation of high-precision wireless strain sensors for structural health monitoring of steel structures. In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, 834518--834518.
- Kim, R., Nagayama, T., Jo, H., & Spencer Jr, B. F. (2012, March). Preliminary study of low-cost GPS receivers for time synchronization of wireless sensor networks. In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring.
- Jang, S., Sim, S., Jo, H., & Spencer Jr, B. F. (2011). Full-scale decentralized damage identification using wireless smart sensors. In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, 79814W--79814W.
- Jo, H., Sim, S., Mechitov, K. A., Kim, R., Li, J., Moinzadeh, P., Spencer Jr, B., Park, J. W., Cho, S., Jung, H., & others, . (2011). Hybrid wireless smart sensor network for full-scale structural health monitoring of a cable-stayed bridge. In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, 798105--798105.
- Jo, H., Sim, S., Tatkowski, A., & Spencer Jr, B. (2011, July). Bio-inspired structural displacement monitoring strategy using low-cost GPS receivers: feasibility test. In Proceedings of the World Congress on Advances in Structural Engineering and Mechanics (ASEM’11).
Others
- Jo, H. (2013, August). Multi-scale structural health monitoring using wireless smart sensors. Desertation, University of Illinois at Urbana-Champaign.