Patents:

Pa_06 Cha, Y.J.†, & Mostafavi, A.* (2023). Deep learning-based feedback active noise control on construction sites, United States Provisional Application, Provisional application. no. 63/484.638, filed on February 13, 2023.
Pa_05 Cha, Y.J.† &, Ali, R.*. (2023). Computer-implemented methods for analyzing thermographic image having article of interest using machine learning and for training machine learning algorithm therefor, United States Provisional Application, Provisional application. no. 18332111, filed on June 9, 2023
Pa_04 Cha, Y.J.†, & Benipal, S.* (2023). Method and Apparatus for Active Noise Cancellation Using Deep Learning, United States Provisional Application, No: 18,177,885 filed (March 3).
Pa_03 Cha, Y.J.†, & Kang, D.* (2022). Computer-implemented arrangements for processing image having article of interest, United States Provisional Application, No: 17,735,507 filed on May 3, 2022
Pa_02 Cha, Y.J.†, & Choi, W.* (2022). Computer-implemented method of analyzing an image to segment article of interest therein, United States Provisional Application No: 17,611,956, filed, on August 11, 2022
Pa_01 Cha, Y.J.†, & Choi, W.* (2021). Structural defect detection using machine learning algorithms, U.S. Patent 11,144,814 (issued)

Journal articles published:

J_047 Waqas, A.*, Kang, D.*, & Cha, Y.J.† (2023). Deep learning–based obstacle-avoiding autonomous UAVs with fiducial marker–based localization for structural health monitoring. Structural Health Monitoring, SAGE (IF: 6.6), doi/epub/10.1177/14759217231177314, rank 6 out of 63 journals in Instruments & Instrumentation
J_046 Mostafavi, A.*, & Cha, Y.J.† (2023). Deep learning-based active noise cancellation of construction sites, Automation in Construction, Elsevier, 151 (2023) 104885 (IF: 10.3), rank 2 out of 139 journals within Civil Engineering.
J_045 Cha, Y.J.†, Mostafavi, A.* & Benipal, S.B.* (2023). DNoiseNet: Deep learning-based feedback active noise control in various noisy environments, Engineering Applications of Artificial Intelligence, Elsevier, (IF: 8.0), 121, 105971, top 5 out of 260 in Control and Systems Engineering.
J_044 Lewis, J.*, Cha, Y.J.†, & Kim, J. (2023). Dual encoder-decoder based deep polyp segmentation network for colonoscopy images. Scientific Reports, (IF: 4.5), 10.1038/s41598-023-28530-2.
J_043 Wang, Z.*, & Cha, Y.J.† (2022). Unsupervised learning methods for structural damage detection: A comparative study. Engineering Reports (IF: 2.0), Wiley, DOI: 10.1002/eng2.12551.
J_042 Ali, R.*, & Cha, Y.J.† (2022). Attention-based generative adversarial network with internal damage segmentation using thermography, Automation in Construction, Elsevier, (IF: 10.3), 141, 104412, rank 2 out of 139 journals within Civil Engineering
J_041 Kang, D.*, & Cha, Y.J.† (2022). Efficient attention-based deep encoder and decoder for crack segmentation, Structural Health Monitoring, SAGE, 21(5) 2190-2205 (IF: 6.6) https://doi.org/10.1177/14759217211053776, rank 6 out of 63 journals in Instruments & Instrumentation
J_040 Ghorbani, E.*, Svecova, D., Tomson, D., & Cha, Y.J.† (2022). Bridge pier scour level quantification based on output-only Kalman filtering, Structural Health Monitoring, SAGE, 21(5) 2116-2135 (IF: 6.6). https://doi.org/10.1177/14759217211053781, rank 6 out of 63 journals in Instruments & Instrumentation
J_039 Ali, R.*, Kang, D.*, Suh, G.*, & Cha, Y.J.† (2021). Real-time damage mapping using a deep faster region-based convolutional neural network and autonomous UAV. Automation in Construction, Elsevier, 130, 103831(IF: 10.3), rank 2 out of 139 journals within Civil Engineering
J_038 Coar, L.†, Hare, J., Laet, L.D., Cha, Y.J., Suh, G., Piper, J. & Jiang, V. (2021).  A study of design workflows used for the creation of fabric formed ice shells using bending active frames, International Journal of Space Structures, SAGE, (IS: 0.92), 36(1), 13-25.
J_037 Wang, Z.*, & Cha, Y.J.† (2021). Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect structural damage. Structural Health Monitoring, SAGE, 20(1) 406–425, (IF:6.6), rank 6 out of 63 journals in Instruments & Instrumentation
J_036 Ghorbani, E.*, Buyukozturk, O., & Cha, Y.J.† (2020). Hybrid output-only structural system identification using random decrement and Kalman filter. Mechanical Systems and Signal Processing, Elsevier, 144, 106977, (IF: 8.4), rank 4 out of 133 journals in Mechanical Engineering
J_035 Kang, D.*, Benipal, S.S.*, Gopal, D.L.*, & Cha, Y.J.† (2020). Hybrid pixel-level crack segmentation and quantification across complex backgrounds using deep learning. Automation in Construction, Elsevier, 118, 103291, (IF: 10.3), rank 2 out of 139 journals within Civil Engineering
J_034 Choi, W.*, & Cha, Y.J.† (2020). SDDNet: Real-time crack segmentation. IEEE Transactions on Industrial Electronics, 67(9), 8016-8025, (IF: 7.7), rank 3 out of 113 journals within Instruments and Instrumentations
J_033 Ali, R.*, & Cha, Y.J.† (2019). Subsurface damage detection of a steel bridge using deep learning and uncooled micro-bolometer. Construction and Building Materials, Elsevier, 226, 376-387 (IF: 7.4), rank 5 out of 139 journals within Civil Engineering
J_032 BeckMan Gomes, G.H.*, Polyzois, D., & Cha, Y.J.† (2019). Deep learning-based automatic volumetric damage quantification using depth camera. Automation in Construction, Elsevier, 99, 114-124 (IF: 10.517), rank 2 out of 139 journals within Civil Engineering
J_031 Lamana, L.*, Choi, W.*, & Cha, Y.J.† (2019). Fully automated vision-based loosened bolt detection using the Viola-Jones algorithm. Structural Health Monitoring, SAGE, 18(2), 422-434 (IF: 6.6), rank 9 out of 64 journals in Instruments & Instrumentation
J_030 Kang, D.*, & Cha, Y.J.† (2018). Autonomous UAVs for structural health monitoring using deep learning and an ultrasonic beacon system with geo‐tagging, Computer-Aided Civil and Infrastructure Engineering, Wiley, (IF: 9.6), 33(10), 885-902, rank 3 out of 139 journals within Civil Engineering
J_029 Cha, Y.J.†, Kim, Y., You, T. (2018). Advanced Sensing and Structural Health Monitoring/ASSHM, Journal of Sensors, (IF: 1.9), Editorial, 7286069, 1-3
J_028 Ghorbani, E.*, & Cha, Y.J.† (2018). Iterated cubature unscented Kalman filter for large-DoF systems identification with noisy data. Journal of Sound and Vibration, Elsevier, 420, 21-34 (IF: 4.7), rank 25 out 135 of journals within Acoustics.
J_027 Epp, T.*, Svecova, D., & Cha, Y.J.† (2018). Semi-automated air-coupled impact-echo method for large-scale parkade structure. Sensors, (IF: 3.9), 18(4), 1018-1032, rank 19 out of 64 journals within Instruments and Instrumentations.
J_026 Cha, Y.J.†, Choi, W.*, Suh, G.*, Mahmoudkhani, S.*, Buyukozturk, O. (2018). Autonomous structural visual inspection using region‐based deep learning for detecting multiple damage types. Computer-Aided Civil and Infrastructure Engineering, Wiley, 33(9), 731-747 (IF: 10.066), rank 2 out of 139 journals within Civil Engineering
J_025 Cha, Y.J.†, & Wang, Z.* (2018). Unsupervised novelty detection based structural damage localization using density peaks-based fast clustering algorithm. Structural Health Monitoring, SAGE, 17(2), 313-324 (IF: 6.6), rank 9 out of 64 journals in Instruments & Instrumentation
J_024 Cha, Y.J.†, Choi, W.*, & Buyukozturk, O. (2017). Deep learning-based crack damage detection using convolutional neural networks. Computer-Aided Civil and Infrastructure Engineering, Wiley, 32(5), 361-378 (IF: 9.6), rank 3 out of 137 journals within Civil Engineering
J_023 Cha, Y.J.†, Chen, J.G.*, & Buyukozturk, O. (2017). Output-only computer vision-based damage detection using phase-based optical flow and unscented Kalman filters. Engineering Structures, Elsevier, 132, 300-313 (IF: 5.5), rank 19 out of 139 journals within Civil Engineering discipline
J_022 Epp, T.*, & Cha, Y.J.† (2017). Air-coupled microphone based concrete structure damage detection using wavelet transforms. Smart Materials and Structures, IOPscience, 26(2), 025018-1-15 (IF: 4.1), rank 54 out of 225 journals within Material Science and Multidisciplinary
J_021 Cha, Y.J.†, & Agrawal, A.K. (2017). Seismic retrofit of MRF buildings using decentralized semi-active control for multi-target performances. Earthquake Engineering & Structural Dynamics, Elsevier, 46(3), 409-424 (IF: 4.5), rank 29 out of 137 journals within Civil Engineering
J_020 Cha, Y.J.†, Trocha, P.*, & Buyukozturk, O. (2016). Field measurement-based system identification and dynamic response prediction of a unique MIT building. Sensors, 16(7), 1016-1-24 (IF: 3.9), rank 19 out of 137 journals within Civil Engineering
J_019 Cha, Y.J.†, You, K.*, & Choi, W.* (2016). Vision-based detection of loosened bolts using the Hough transform and support vector machines. Automation in Construction, Elsevier, 71(2), 181-188 (IF: 10.3), rank 2 out of 139 journals within Civil Engineering
J_018 Cha, Y.J.†, & Agrawal, A.K. (2016). Robustness studies of sensor faults and noises for semi-active control strategies using large-scale MR dampers. Journal of Vibration and Control, SAGE, 22(5), 1228-1243 (IF: 2.8)
J_017 Cha, Y.J.†, & Bai, J.W. (2016). Seismic fragility estimates of high-rise buildings controlled by MR dampers using performance-based design. Engineering Structures, Elsevier, 116, 192-202 (IF: 5.5), rank 19 out of 139 journals within Civil Engineering
J_016 Temimi, H., Ben-Romdhane, M., El-Borgi, S.†, & Cha, Y.J. (2016). Time-delay effects on controlled seismically excited linear and nonlinear structures. International Journal of Structural Stability and Dynamics, World Scientific, 16(7), 1550031-1-22 (IF: 3.6)
J_015 Mitchell, R., Cha, Y.J., Kim, Y.†, & Mahajan, A.A. (2015). Active control of highway bridges subject to a variety of earthquake loads. Earthquake Engineering and Engineering Vibration, Springer, 14(2), 253-263 (IF: 2.91).
J_014 Chen, J.*, Wadhwa, N.*, Cha, Y.J., Durand, F., Freeman, F., & Buyukozturk, O.† (2015). Modal identification of simple structures with high-speed video using motion magnification. Journal of Sound and Vibration, Elsevier, 345: 58-71 (IF: 4.7), 25 out of 135 in mechanical engineering.
J_013 Cha, Y.J., & Buyukozturk, O.† (2015). Structural damage detection using modal strain energy and hybrid multi-objective optimization. Computer-Aided Civil and Infrastructure Engineering, Wiley, 30, 347-358 (IF: 9.6), rank 3 out of 139 journals within Civil Engineering
J_012 Kim, Y.J.†, Wakeel, S.A., Gaddafi, A., & Cha, Y.J. (2015). In-place performance of severely deteriorated pervious concrete: A Case Study. ACI Materials Journal, 112(2), 295-304
J_011 Friedman, A., Dyke, S.J.†, Phillips, B., Ahn, R., Don,g B., Chae, Y., Castaneda, N., Jiang, Z., Zhang, J., Cha, Y.J., Ozdagli, A.I., Spencer. B.F. Jr., Ricles, J., Christenson, R., Agrawal, A., & Sause, R. (2015). Large-scale real-time hybrid simulation for evaluation of advanced damping system performance. Journal of Structural Engineering, ASCE, 141(6), 04014150-1-13. (IF: 4.1) 43 out of 139.
J_010 Cha, Y.J.†, Agrawal, A.K., Friedman, A.*, Phillips, B., Ahn, R., Dong, B., Dyke, S.J., Spencer, B.F. Jr., Ricles, J., & Christenson, R. (2014). Performance validations of semi-active controllers on a large-scale moment resisting frame equipped with a 200 kN MR damper using real- time hybrid simulations. Journal of Structural Engineering, ASCE, 140(10), 04014066-1-11. (IF: 4.1) 43 out of 139.
J_009 Cha, Y.J.†, Agrawal, A.K., Phillips, B., & Spencer, B.F. Jr. (2014). Direct performance-based design with 200 kN MR dampers using multi objective cost-effective optimization for Steel MRFs. Engineering Structures, Elsevier, 71, 60-72. (IF: 4.761), rank 20 out of 139 journals within Civil Engineering, (IF: 4.1) 43 out of 139.
J_008 Cha, Y.J.†, Zhang, J., Agrawal, A., Dong, B., Friedman, A., Dyke, S., & Ricles, J. (2013). Comparative studies of semiactive control strategies for MR dampers: pure simulation and real-time hybrid tests. Journal of Structural Engineering, ASCE, 139, SPECIAL ISSUE: NEES 1: Advances in Earthquake Engineering, 1237–1248. (IF: 4.1) 43 out of 139.
J_007 Cha, Y.J.†, Agrawal, A.K., & Dyke, S.J. (2013). Time delay effects on large-scale MR damper based semi-active control strategies. Smart Materials and Structures, IOPscience, 22(1), 015011-1-13. (IF: 4.1) rank 54 out of 225 journals within Material Science and Multidisciplinary.
J_006 Cha. Y.J.†, & Agrawal, A.K., (2013). Decentralized output feedback polynomial control of seismically excited structures using genetic algorithms. Structural Control & Health Monitoring, Wiley, 20(3), 241-258. (IF: 5.4), rank 20 out of 139.
J_005 Cha, Y.J.†, & Agrawal, A.K. (2013). Velocity-based semi-active turbo-Lyapunov control algorithm for seismically excited nonlinear smart structures. Structural Control & Health Monitoring, Wiley, 20(6), 1043-1056. (IF: 5.4), rank 20 out of 139.
J_004 Cha, Y.J., Raich, A.M.†, Barroso, L.R., & Agrawal, A.K., (2013). Optimal placements of active control devices and sensors in frame structures using multi-objective genetic algorithms. Structural Control & Health Monitoring, Wiley, 20(1), 16-44. (IF: 5.4), rank 20 out of 139.
J_003 Cha, Y.J., Kim, Y.†, Raich, A.M., & Agrawal, A.K., (2013). Multi-objective formulation for actuator and sensor layouts of actively controlled 3-D buildings. Journal of Vibration and Control, SAGE, 19(6), 942-960. (IF: 2.8)
J_002 Mitchell, R., Kim, Y.†, El-Korchi, T., & Cha, Y.J. (2013). Wavelet-neuro-fuzzy control of hybrid building-active tuned mass damper system under seismic excitation. Journal of Vibration and Control, SAGE, 19(12), 1881-1894. (IF: 2.8)
J_001 Cha, Y.J., Agrawal, A.K., Kim, Y.†, & Raich, A.M., (2012). Multi-objective genetic algorithms for cost-effective distributions of actuators and sensors in large structures. Expert Systems with Applications, Elsevier, 39(9), 7822-7833. (IF: 8.5), rank 24 out of 273 in Operations research & Management Science.

 

Conference articles published:

C_047 Ali, R.*, & Cha, Y.J.†, (2023). Deep Learning based Pothole Monocular Depth Estimation and Segmentation Using 3D Scanner-Derived Depth Maps. 14th IWSHM – International Workshop on Structural Health Monitoring, Stanford University, CA, United States, September 12-14, manuscript submitted.
C_046 Waqas, A.*, & Cha, Y.J.†, (2023). Obstacle avoidance method for autonomous UAV for structural health monitoring. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, in printing.
C_045 Waqas, A.*, & Cha, Y.J.†, (2023). Fiducial marker-based localization of autonomous UAV for structural health monitoring. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, in printing.
C_044 Mostafavi, A.*, & Cha, Y.J.†, (2023). Deep learning-based construction noise cancellation with feedback active control. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, in printing.
C_043 Mostafavi, A.*, & Cha, Y.J.†, (2023). Deep learning-based feedback active noise cancellation using single sensor. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, in printing.
C_042 Ali, R.*, & Cha, Y.J.†, (2023). Lightweight internal damage segmentation using thermography with and without attention based generative adversarial network. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, in printing.
C_041 Ali, R.*, & Cha, Y.J.†, (2023). Synthetic thermal image data generation using attention-based generative adversarial network for concrete internal damage segmentation. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, in printing.
C_040 Lewis, J.*, & Cha, Y.J.†, (2023). Deep learning-based pixel level colonoscopy analysis. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, in printing.
C_039 Cha, Y.J.†, (2022). Smart Structural Control and Health Monitoring. Video Proceedings of Advanced Materials, An Official Video Journal of International Association of Advanced Materials, Volume 3, Article ID 2206414, Year 2022, DOI: 10.5185/vpoam.2022.06414
C_038 Ali, R.*, & Cha, Y.J.†, (2022). Multiple damage detection in GPS denied structure using deep learning and autonomous UAV, 3rd International Conference on Health Monitoring of Civil & Maritime Structures (HeaMES2022), London, UK, June 8-10, 2022.
C_037 Kang, D.*, Benipal, S.*, & Cha, Y.J.†, (2022). Hybrid concrete crack segmentation and Quantification across complex backgrounds without a large training dataset. In Data Science in Engineering, Volume 9 (pp. 123-128). Springer, Cham. IMAC XXXIX – A Conference and Exposition on Structural Dynamics.
C_036 Wang, Z.*, & Cha, Y.J.†, (2022). An unsupervised deep auto-encoder with one-class support vector machine for damage detection. Volume 9 (pp. 99-104). Springer, Cham. IMAC XXXIX – A Conference and Exposition on Structural Dynamics.
C_035 Coar, L., Cha, Y.J., Piper, J., De Laet, L. (2020). Design and construction of 3D post-tensioned cable systems for bending active grids hells. IASS Symposium 2020 – Inspiring the Next Generation, 24-28 August 2020, Guilford, UK.
C_034 Ghorbani, E.*, Svecova, D., Morrison, E., & Cha, Y.J.†, (2020). Output-only bridge scour monitoring using measured vibration. 3rd International Symposium on Structural Health Monitoring and Nondestructive Testing 25-26 Nov 2020, Quebec, Canada (SHM-NDT 2020), NDT.net Issue: 2020-12, page1-2.
C_033 Ghorbani, E.*, and Cha, Y.J., (2020), July. Analyzing the Robustness of Hybrid, Output-Only, Kalman Filtering–Based System Identification Method. In European Workshop on Structural Health Monitoring (pp. 533-542). Springer, Cham.
C_032 Ali, R.*, Zeng, J. *, & Cha, Y.J.†, (2020). Deep learning-based crack detection in tunnel structure in concrete using multispectral dynamic imaging system. In SPIE Smart Structures & Nondestructive Evaluation for Industry 4.0 and Smart Cities 2020. International Society for Optics and Photonics. Anaheim, CA, United States, April 26-30.
C_031 Ali, R.*, Zeng, J.*, Kavgic, M., & Cha, Y.J.†, (2020). Heat loss detection using thermal imaging taken by small prototype UAV. In SPIE Smart Structures & Nondestructive Evaluation for Industry 4.0 and Smart Cities 2020. International Society for Optics and Photonics. Anaheim, CA, United States, April 26-30.
C_030 Coar, L.†, Cha, Y.J., Jiang, Z., Piper, J., & De Laet, L., (2018). The design and testing of post-tensioned bending active spatial assemblies. In Proceedings of the IASS Symposium, Creativity In Structural Design.  Boston, MA, United States, July 16-20
C_029 Epp, T.*, Svecova, D, & Cha, Y.J.† (2018). Automated air-coupled impact echo based nondestructive testing using machine learning. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 10598, 105981M. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
C_028 Beckman Gomes, G.H.*, Polyzois, D., & Cha, Y.J.† (2018). Automated volumetric damage detection and quantification using region-based convolution neural networks and an inexpensive depth camera. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 10598, 105980W-1. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
C_027 Wang, Z.*, & Cha, Y.J.† (2018). Automated damage-sensitive feature extraction using unsupervised convolutional neural networks. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 10598, 105981J. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
C_026 Ali, R.*, Lokekere Gopal, D.*, & Cha, Y.J.† (2018). Vision-based concrete crack detection technique using cascade features. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 10598, 105981J. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
C_025 Kang, D.*, & Cha, Y.J.† (2018). Damage detection with an autonomous UAV using deep learning. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 10598, 1059804. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
C_024 Suh, G.*, & Cha, Y.J.† (2018).  Deep faster R-CNN-based automated detection and localization of multiple types of damage. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 10598, 105980T. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
C_023 Ghorbani, E.*, & Cha, Y.J.† (2018). Identification of large-scale systems with noisy data using an iterated cubature unscented Kalman filter. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 10598, 105981R. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
C_022 Choi, W.*, & Cha, Y.J.†, Buyukozturk, O. (2017). Advanced deep learning-based damage detection using computer vision. 6th International Structural Specialty Conference CSCE. 2, 71-73. Vancouver, BC, May 31-June 3
C_021 Wang, Z.*, & Cha, Y.J.† (2017). Unsupervised novelty detection techniques for structural damage detection: A comparative study. In IMAC-XXXVII. Garden Grove, CA. A Conference and Exposition on Structural Dynamics, 3, 125-132, Jan. 30–Feb. 2
C_020 Ramana, L.*, Choi, W.*, & Cha, Y.J.† (2017). Automated vision-based loosened bolt detection using the Viola-Jones algorithm, In IMAC-XXXVII. Garden Grove, CA. A Conference and Exposition on Structural Dynamics. 5, 23-28, Jan. 30–Feb. 2
C_019 Cha, Y.J.†, & Choi, W.* (2017). Vision-based concrete crack detection using a convolutional neural network. In IMAC-XXXVII. Garden Grove, CA. A Conference and Exposition on Structural Dynamics, 2, 71-73, Jan. 30–Feb. 2
C_018 Epp, T.*, & Cha, Y.J.† (2017). Wavelet transform-based damage detection in reinforced concrete using an air-coupled impact-echo method. In IMAC-XXXVII. Garden Grove, CA. A Conference and Exposition on Structural Dynamics. 7, 23-25, Jan. 30–Feb. 2
C_017 Cha, Y.J.†, & Wang, Z.* (2016). Unsupervised novelty detection based structural damage detection method. 5th International Structural Specialty Conference CSCE. 17(2), 313-324, London, ON, June 1-4
C_016 Cha, Y.J.† (2016). Decentralized semi-active control for multi-performance-based design. 5th International Natural Disaster Mitigation Specialty Conference CSCE. NDM-522-1-9 London, ON, June 1-4
C_015 Cha, Y.J.†, You, K.*, & Choi, W.*, (2016). Computer-image-based loosened bolt detection using support vector machines. 5th International Structural Specialty Conference CSCE. STR-906-1-8, London, ON, June 1-4
C_014 Bai, J. †, & Cha, Y.J., (2016). Seismic fragility analysis for semi-actively controlled structures using MR dampers. Geotechnical & Structural Engineering Congress. 1343-1353, Phoenix, Arizona, USA, February 14-17
C_013 Cha, Y.J.†, Chen, J., & Buyukozturk, O. (2015). Motion magnification-based damage detection using high speed video. 10th International Workshop On Structural Health Monitoring (IWSHM). Stanford, USA, September 1-3
C_012 Buyukozturk, O.†, Long, J., Mohammadi, R., Cha, Y.J., & Chen, J. (2014). Structural health monitoring: a quest towards the use of combined approaches. 7th European Workshop On Structural Health Monitoring, Nantes, France, July 8-11, 1077-1084
C_011 Cha, Y.J., & Buyukozturk, O.† (2014). Modal strain energy-based damage detection using multi-objective optimization. In Structural Health Monitoring, 5, 125-133. Springer International Publishing
C_010 Chen, J., Wadhwa, N., Cha, Y.J., Freeman, W., & Buyukozturk, O.† (2014). Structural modal identification through high speed camera video: motion magnification. In Topics in Modal Analysis I, 7, 191-197. Springer International Publishing
C_009 Cha, Y.J., & Bai, J.W.† (2014). Seismic fragility estimates of controlled high-rise buildings with magnetorheological dampers. 10th US National Conference on Earthquake Engineering. Anchorage Alaska, July 21-25
C_008 Cha, Y.J., & Agrawal, A.K.† (2010). A novel polynomial control algorithm for the seismically excited highway bridge benchmark. 5th World Conference on Structural Control and Monitoring. Tokyo, Japan, July 12-14
C_007 Cha, Y.J., Agrawal, A.K., & Kim, Y.† (2010). Multi-objective optimal placements of actuators and sensors within 3-D structures. 5th World Conference on Structural Control and Monitoring. Tokyo, Japan, July 12-14
C_006 Friedman, A., Zhang, J., Phillips, B., Cha, Y.J., Jiang, Z., Dyke, S.J.†, Agrawal, A.K., Spencer, B.F. Jr, Ricles, J., & Christenson, R.E. (2010). Accommodating MR damper dynamics for control of large-scale structural systems. 5th World Conference on Structural Control and Monitoring. Tokyo, Japan, July 12-14
C_005 Kim, Y.†, Sharifi, R., Cha, Y.J., & Langari, R. (2010). Sensor fault diagnosis of smart buildings. 5th World Conference on Structural Control and Monitoring. Tokyo, Japan, July 12-14
C_004 Cha, Y.J., & Agrawal, A.K.† (2010). A review of benchmark study on response control of wind-excited tall buildings. Structural Congress, ASCE. Orlando, Florida, May 12-15
C_003 Cha, Y.J., Narasimhan, S., Agrawal, A.K.†, & Nagarajaiah, S. (2010). A review of benchmark study on response control of seismically-excited highway bridges. Structural Congress, ASCE. Orlando, Florida, May 12-15
C_002 Cha, Y.J., Raich, A.M.†, & Barroso, L.R. (2009). Near-optimal structural control architectures of active devices and sensors using gene manipulation genetic algorithms. 8th World Congress on Structural and Multidisciplinary Optimization. Lisbon, Portugal, June 1-5
C_001 Kim, S.H.†, Maha, H.S., Lee, S.W., & Cha, Y.J. (2004). Effects of energy-dissipating sacrificial device on seismic behavior under bi-directional ground. Conference of Earthquake Engineering Society of Korea. Suwon, South Korea

Conference and invited presentations:

P_086 Ali, R.*, & Cha, Y.J.†, (2023). Deep learning-based pothole monocular depth estimation and segmentation using 3D scanner-derived depth maps. 14th IWSHM – International Workshop on Structural Health Monitoring, Stanford University, CA, United States, September 12-14, scheduled.
P_085 Invited speech, Cha, Y.J.†, (2023). Fundamental concept of artificial neural networks and ChatGPT, College of Nursing, Jesus University, June 9, 2023, Jeonju, South Korea (https://www.jesus.ac.kr/main/#)
P_084 Invited speech, Cha, Y.J.†, (2023). Deep learning-based structural health monitoring with autonomous UAVs, Korea Institute of Civil Engineering and Building Technology, May 18, 2023. (https://www.kict.re.kr/eng/)
P_083 Invited speech, Cha, Y.J.†, (2023). Deep learning-based structural health monitoring, Stantec, Winnipeg, April 21, 2023.
P_082 Waqas, A.*, & Cha, Y.J.†, (2023). Obstacle Avoidance Method for Autonomous UAV. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, accepted.
P_081 Waqas, A.*, & Cha, Y.J.†, (2023). Fiducial Marker-based Localization of Autonomous UAV for SHM. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, accepted.
P_080 Mostafavi, A.*, & Cha, Y.J.†, (2023). Construction Noise Cancellation with Feedback Active Control using Machine Learning. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, accepted.
P_079 Mostafavi, A.*, & Cha, Y.J.†, (2023). Feedback Active Noise Cancellation Using Single Sensor with Deep Learning. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, accepted.
P_078 Ali, R.*, & Cha, Y.J.†, (2023). Lightweight internal damage segmentation using thermography with and without attention based generative adversarial network. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, accepted.
P_077 Ali, R.*, & Cha, Y.J.†, (2023). Synthetic thermal image data generation using attention-based generative adversarial network for concrete internal damage segmentation. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, accepted.
P_076 Lewis, J.*, & Cha, Y.J.†, (2023). Deep learning-based pixel level colonoscopy analysis. IMAC XLI – A Conference and Exposition on Structural Dynamics. Austin, TX, United States, 78759, Feb 13-16, accepted.
P_075 Invited speech, Cha, Y.J.†, (2022). Advanced AI based structural health monitoring with autonomous UAVs, Engineering Reports, Wiley, webinar series, December 9, 2022.
P_074 Invited speech, Cha, Y.J.†, (2022). Advanced AI based structural health monitoring with autonomous UAVs, City of Winnipeg, Manitoba, Canada, November 9, 2022.
P_073 Cha, Y.J., (2022). Autonomous flight of UAVs for system health monitoring in GPS-denied areas, Canadian-Korean Conference 2022, The Association of Korean-Canadian Scientists and Engineers, Niagara Falls, Ontario, 7/4-7/8/2022 (http://akcse.ca/ckc2022/)
P_072 Invited IAAM Award Lecture, Cha, Y.J.†, (2022). Smart structural control and health monitoring, European Advanced Materials Congress organized by the International Association of Advanced Materials (IAAM), June 25– July 2, 2022, Genoa, Italy (https://www.advancedmaterialscongress.org/europe/)
P_071 Invited speech, Cha, Y.J., (2022). Deep learning based structural health monitoring with autonomous UAVs, Thornton Tomasetti, 301 Howard Street, Suite 1030, San Francisco, CA 94105, June 10, 2022.
P_070 Kang, D.*, Benipal, S.*, & Cha, Y.J.†, (2022). Hybrid concrete crack segmentation and Quantification across complex backgrounds without a large training dataset. In Data Science in Engineering, Volume 9 (pp. 123-128). Springer, Cham. IMAC XXXIX – A Conference and Exposition on Structural Dynamics.
P_069 Wang, Z.*, & Cha, Y.J.†, (2022). An unsupervised deep auto-encoder with one-class support vector machine for damage detection. Volume 9 (pp. 99-104). Springer, Cham. IMAC XXXIX – A Conference and Exposition on Structural Dynamics.
P_068 Invited speech, Cha, Y.J.†, (2021). Real time pixel level damage segmentation with autonomous UAVs, Administration of the Global Network of Korean Scientists and Engineers (KOSEN), Korea Institute of Science and Technology Information, Ministry of Science, ICT and Future Planning, online, December 12, 2021
P_067 Invited speaker, Cha, Y.J.†, (2021). Fully automated solar panel and wind turbine damage inspection using deep learning with autonomous UAVs, Green Energy Institute session, Canadian-Korean Conference 2021, The Association of Korean-Canadian Scientists and Engineers, Halifax, Nova Scotia, 9/1/2021
P_066 Kang, D., & Cha, Y.J.†, (2021). Semantic Transformer Representation Network for Crack Segmentation, Canadian-Korean Conference 2021, The Association of Korean-Canadian Scientists and Engineers, Halifax, Nova Scotia, 9/2/2021
P_065 Invited speaker, Cha, Y.J.†, (2021). Deep learning based structural health monitoring using autonomous UAVs, The Association of Korean-Canadian Scientists and Engineers, North York, On, 6/3/2021
P_064 Kang, D., Benipal, S., & Cha, Y.J.†, (2021). Hybrid concrete crack segmentation and quantification across complex backgrounds without a large training dataset. IMAC XXXIX – A Conference and Exposition on Structural Dynamics, January 4.
P_063 Wang, Z., & Cha, Y.J.†, (2021). An unsupervised deep auto-encoder with one-class support vector machine for damage detection. IMAC XXXIX – A Conference and Exposition on Structural Dynamics, January 4.
P_062 Invited speaker, Cha, Y.J.†, (2021). Deep learning based structural health monitoring using autonomous UAVs. Department of Civil and Environmental Engineering, Pusan National University, Pusan, South Korea, January 11.
P_061 Ghorbani, E. *, Svecova, D., Morrison, E., & Cha, Y.J.†, (2020). Output-only bridge scour monitoring using measured vibration. In 3rd International Symposium on Structural Health Monitoring & NonDestructive Testing. Université Laval, in Quebec City, Canada, November 14-15.
P_060 Invited speaker, Cha, Y.J.†, (2020). Deep learning based structural health monitoring using autonomous UAVs. Department of Civil and Environmental Engineering, Yonsei University, Seoul, South Korea, September 3.
P_059 Invited speaker, Cha, Y.J.†, (2020). Deep learning-based defect/damage detection with autonomous UAVs. Served as a technical panel member at the “AI Roundtable” discussion, 2020 Canada-Korea Conference on Science and Technology hosted by The Association of Korean-Canadian Scientists and Engineers, Halifax, Nova Scotia, 9-3/2020-9-6/2020
P_058 Invited speaker, Cha, Y.J.†, (2020). Deep-learning-based structural health monitoring with autonomous UAVs. Department of Civil Engineering, Ulsan National Institute of Science and Technology. Ulsan, South Korea, July 19.
P_057 Welcome speech (online), Cha, Y.J.†, (2020). Deep-learning-based structural health monitoring with autonomous UAVs. School of Civil Engineering, Tianjin University. Tianjin City, China, May 28. (388 professors and students attended from 15 Chinese universities)
P_056 Ali, R. *, Zeng, J.*, & Cha, Y.J.†, (2020). Deep learning-based crack detection in tunnel structure in concrete using multispectral dynamic imaging system. In SPIE Smart Structures & Nondestructive Evaluation for Industry 4.0 and Smart Cities 2020. International Society for Optics and Photonics. Anaheim, CA, United States, April 26-30.
P_055 Ali, R.*, Zeng, J.*, Kavgic, M., & Cha, Y.J.†, (2020). Heat loss detection using thermal imaging taken by small prototype UAV. In SPIE Smart Structures & Nondestructive Evaluation for Industry 4.0 and Smart Cities 2020. International Society for Optics and Photonics. Anaheim, CA, United States, April 26-30.
P_054 Invited speaker, Cha, Y.J. (2019). Deep learning-based structural damage detection, Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea, December 23
P_053 Choi, W.*, & Cha, Y.J. (2019). Real-time damage segmentation using advanced deep learning. Engineering Mechanics Institute 2019 conference. California Institute of Technology, Pasadena, CA, June 18-21
P_052 Kang, D.*, & Cha, Y.J. (2019). Autonomous UAV for SHM with obstacle avoidance

Engineering Mechanics Institute 2019 conference. California Institute of Technology, Pasadena, CA, June 18-21
P_051 Cha, Y.J. (2018). From structural control to health monitoring. CIVL 3710: Finite element analysis course, Department of Civil Engineering, University of Manitoba.  Winnipeg, MB, Canada, September 25
P_050 Coar, L., Cha, Y.J., Jiang, Z., Piper, J., De Laet, L., (2018). The design and testing of post-tensioned bending active spatial assemblies. Proceedings of the IASS Symposium SPIE Smart Structures and Nondestructive Evaluation.  Cambridge, MA, United States, July 4-8
P_049 Kang, D.*, & Cha, Y.J. (2018). Autonomous UAV for damage detection using deep faster R-CNN and ultrasonic beacon. Engineering Mechanics Institute 2018 conference. Massachusetts Institute of Technology, Cambridge, MA, May 31-June 2
P_048 Suh, G.*, Buyukozturk, O., & Cha, Y.J. (2018). Deep Faster R-CNN-based automated multiple types of damage localization. Engineering Mechanics Institute 2018 conference. Massachusetts Institute of Technology, Cambridge, MA, May 31-June 2
P_047 Invited speaker, Cha, Y.J. (2018). Deep learning-based SHM using autonomous UAVs. Energy-based Structural Analysis and Sensing, MIT International Science And Technology Initiatives Workshop. Massachusetts Institute of Technology, Cambridge, MA, May 31-June 2
P_046 Epp, T.*, Svecova, D, & Cha, Y.J.† (2018). Automated air-coupled impact echo based nondestructive testing using machine learning. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 10598, 105981M. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
P_045 Beckman Gomes, G.H.*, Polyzois, D., & Cha, Y.J.† (2018). Automated volumetric damage detection and quantification using region-based convolution neural networks and an inexpensive depth camera. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 10598, 105980W-1. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
P_044 Wang, Z.*, & Cha, Y.J.† (2018). Automated damage-sensitive feature extraction using unsupervised convolutional neural networks. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 10598, 105981J. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
P_043 Ali, R.*, Lokekere Gopal, D.*, & Cha, Y.J.† (2018). Vision-based concrete crack detection technique using cascade features. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 10598, 105981J. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
P_042 Kang, D.*, & Cha, Y.J.† (2018). Damage detection with an autonomous UAV using deep learning. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 10598, 1059804. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
P_041 Suh, G.*, & Cha, Y.J.† (2018).  Deep faster R-CNN-based automated detection and localization of multiple types of damage. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 10598, 105980T. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
P_040 Ghorbani, E.*, & Cha, Y.J.† (2018). Identification of large-scale systems with noisy data using an iterated cubature unscented Kalman filter. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 10598, 105981R. International Society for Optics and Photonics. Denver, CO, United States, March 4-8
P_039 Ghorbani, E.*, & Cha, Y.J.† (2017). Scour monitoring technique using ultrasonic based flow meter and unscented Kalman filter. Research Day organized by SIMTReC, University of Manitoba, International Society for Optics and Photonics. Winnipeg, MB, Canada, October 4
P_038 Kang, D.*, & Cha, Y.J.† (2017). Autonomous UAV for structural health monitoring. 7th International Conference on Advances in Experimental Structural Engineering. Pavia, Italy, September 6–8
P_037 Mahmoudkhani, S., & Cha, Y.J.† (2017). Faster R-CNN based structural surface damage detection. 7th International Conference on Advances in Experimental Structural Engineering. Pavia, Italy, September 6–8
P_036 Choi, W.*, & Cha, Y.J.† & Buyukozturk, O. (2017). Advanced deep learning-based damage detection using computer vision. 6th International Structural Specialty Conference CSCE. Vancouver, BC, May 31-June 3
P_035 Choi, W.*, Buyukozturk, O., & Cha, Y.J.† (2017). Convolutional neural network based concrete crack detection. Engineering Mechanics Institute 2017 conference. University of California San Diego, San Diego, CA, June 4-7
P_034 Wang, Z.*, & Cha, Y.J.† (2017). Unsupervised novelty detection techniques for structural damage detection: A comparative study. IMAC-XXXVII. Orlando, FL. A Conference and Exposition on Structural Dynamics, Jan. 30–Feb. 2
P_033 Ramana, L.*, & Choi, W.*, & Cha, Y.J.† (2017). Automated vision-based loosened bolt detection using the Viola-Jones algorithm, IMAC-XXXVII. Orlando, FL. A Conference and Exposition on Structural Dynamics. Jan. 30–Feb. 2
P_032 Cha, Y.J.†, & Choi, W.* (2017). Vision-based concrete crack detection using a convolutional neural network. IMAC-XXXVII. Orlando, FL. A Conference and Exposition on Structural Dynamics, Jan. 30–Feb. 2
P_031 Epp, T.*, & Cha, Y.J.† (2017). Wavelet transform-based damage detection in reinforced concrete using an air-coupled impact-echo method. IMAC-XXXVII. Orlando, FL. A Conference and Exposition on Structural Dynamics. Jan. 30–Feb. 2
P_030 Cha, Y.J. (2016). Convolutional neural network-based damage detection using a UAV. Canada-Korea Conference. Ottawa, ON, August 16
P_029 Cha, Y.J.†, & Wang, Z.* (2016). Unsupervised novelty detection based structural damage detection method. 5th International Structural Specialty Conference CSCE. London, ON, June 1-4
P_028 Cha, Y.J. (2016). Decentralized semi-active control for multi-performance-based design. 5th International Natural Disaster Mitigation Specialty Conference CSCE. London, ON, June 1-4
P_027 Cha, Y.J.†, You, K.*, & Choi, W.*, (2016). Computer-image-based loosened bolt detection using support vector machines. 5th International Structural Specialty Conference CSCE. London, ON, June 1-4
P_026 Bai, J., & Cha, Y.J., (2016). Seismic fragility analysis for semi-actively controlled structures using MR dampers. Geotechnical & Structural Engineering Congress. Phoenix, Arizona, USA, February 14-17
P_025 Cha, Y.J. (2015). Advanced structural health monitoring and control. Technical committee of SNC Lavalin, Winnipeg, MB, May 20
P_024 Cha, Y.J., Chen, J., & Buyukozturk, O. (2015). Motion magnification-based damage detection using high speed video. 10th International Workshop On Structural Health Monitoring (IWSHM). Stanford, USA, September 1-3
P_023 Invited speaker, Cha, Y.J., (2014). Advanced structural health monitoring system using high-speed video-based measurements. Department of Civil Engineering, University of Manitoba, Winnipeg, Canada, March
P_022 Buyukozturk, O., Long, J., Mohammadi, R., Cha, Y.J., & Chen, J. (2014). Structural health monitoring: a quest towards the use of combined approaches. 7th European Workshop On Structural Health Monitoring, Nantes, France, July 8-11
P_021 Cha, Y.J., & Buyukozturk, O. (2014). Modal strain energy-based damage detection using multi-objective optimization. IMAC-XXXV. A Conference and Exposition on Structural Dynamics. Orlando, FL. Jan. 30–Feb. 2
P_020 Chen, J., Wadhwa, N., Cha, Y.J., Freeman, W., & Buyukozturk, O. (2014). Structural modal identification through high-speed camera video: motion magnification. IMAC-XXXV. A Conference and Exposition on Structural Dynamics. Orlando, FL. Jan. 30–Feb. 2
P_019 Cha, Y.J., & Bai, J.W. (2014). Seismic fragility estimates of controlled high-rise buildings with magnetorheological dampers. 10th US National Conference on Earthquake Engineering. Anchorage Alaska, July 21-25
P_018 Invited speaker, Cha, Y.J. (2013). Multi-functional sustainable structural system using structural control & health monitoring system. Department of Civil Engineering, University of Colorado Denver, CO, Feb. 28
P_017 Cha, Y.J., Agrawal, A.K., & Dyke, S.J. (2012). Robustness studies of sensor fault and noise effects on advanced semi-active control strategies for use with MR dampers. Engineering Mechanics Institute 2012 conference. University of Notre Dame, Notre Dame, IN, June 17-20
P_016 Cha, Y.J., Agrawal, A.K., & Dyke, S.J. (2012). Comparative studies of time-delay effect on semi-active control strategies for use with smart dampers. Engineering Mechanics Institute 2012 conference. University of Notre Dame, Notre Dame, IN, June 17-20
P_015 Invited speaker, Cha, Y.J. (2012). Structural control and health monitoring of 2-D and 3-D moment-resisting framed 20-story building structures. Department of Civil &Environmental Engineering, Massachusetts Institute of Technology, Boston, MA, March 2
P_014 Cha, Y.J., & Agrawal, A.K. (2011). Turbo-Lyapunov semi-active control algorithm using control device velocity responses for nonlinear highway bridge system. Engineering Mechanics Institute 2011 conference, Northeastern University, Boston, MA, June 2-4
P_013 Cha, Y.J., & Agrawal, A.K. (2011). Performance-based control design using viscous damper for smart 3-D nonlinear building system. Engineering Mechanics Institute 2011 conference. Northeastern University, Boston, MA, June 2-4
P_012 Mitchell, R., Kim, Y., Cha, Y.J., & Woodington, W. (2011). A comparative study on control strategies of high-rise building. Engineering Mechanics Institute 2011 conference. Northeastern University, Boston, MA, June 2-4
P_011 Cha, Y.J. (2010). “Engineering Mechanics Statics, Mini-lecture”. Department of Civil Engineering, The City College of New York, New York, NY, July 7, USA
P_010 Cha, Y.J., & Agrawal, A.K. (2010). A novel polynomial control algorithm for the seismically excited highway bridge benchmark. 5th World Conference on Structural Control and Monitoring. Tokyo, Japan, July 12-14
P_009 Cha, Y.J., Agrawal, A.K., & Kim, Y. (2010). Multi-objective optimal placements of actuators and sensors within 3-D structures. 5th World Conference on Structural Control and Monitoring. Tokyo, Japan, July 12-14
P_008 Friedman, A., Zhang, J., Phillips, B., Cha, Y.J., Jiang, Z., Dyke, S.J., Agrawal, A.K., Spencer, B.F. Jr, Ricles, J., & Christenson, R.E. (2010). Accommodating MR damper dynamics for control of large-scale structural systems. 5th World Conference on Structural Control and Monitoring. Tokyo, Japan, July 12-14
P_007 Invited speaker, Cha, Y.J. (2010). Novel semi-active control algorithms and MR damper mathematical models. Department of Civil Engineering, Yonsei University, Seoul, Korea, January. 8
P_006 Kim, Y., Sharifi, R., Cha, Y.J., & Langari, R. (2010). Sensor fault diagnosis of smart buildings. 5th World Conference on Structural Control and Monitoring. Tokyo, Japan, July 12-14
P_005 Cha, Y.J., & Agrawal, A.K. (2010). A review of benchmark study on response control of wind-excited tall buildings. Structural Congress, ASCE. Orlando, Florida, May 12-15
P_004 Cha, Y.J., Narasimhan, S., Agrawal, A.K., & Nagarajaiah, S. (2010). A review of benchmark study on response control of seismically-excited highway bridges. Structural Congress, ASCE. Orlando, Florida, May 12-15
P_003 Invited speaker, Cha, Y.J. (2009). Structural control architecture optimization for 3-D systems using advanced multi-objective genetic algorithms. The City College of the City University of New York, New York, NY, June 5
P_002 Cha, Y.J., Raich, A.M., & Barroso, L.R. (2009). Near-optimal structural control architectures of active devices and sensors using gene manipulation genetic algorithms. 8th World Congress on Structural and Multidisciplinary Optimization. Lisbon, Portugal, June 1-5
P_001 Kim, S.H., Maha, H.S., Lee, S.W., & Cha, Y.J. (2004). Effects of energy-dissipating sacrificial device on seismic behavior under bi-directional ground. Conference of Earthquake Engineering Society of Korea. Suwon, South Korea
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