김정태 교수

학력

□ 박사 미국 텍사스 A&M 대학교 토목공학과 (1993)

□ 석사 강원대학교 토목공학과 (1986)

□ 학사 강원대학교 토목공학과 (1984)

경력

□ 1995 ~ To Date: 부경대학교 해양공학과 교수

□ 2006 ~ To Date: 부경대학교 BK21 항만기반팀 사업팀장

□ 2002 ~ To Date: 과학기술부 스마트사회기반시설연구센터, 총괄연구책임자

□ 2001 ~ 2002: 미국 Texas A&M 대학교 토목공학과 방문연구교수

연구분야

□ 구조동적특성을 이용한 모니터링을 통한 비파괴 평가

□ 자가 센싱 및 진단을 위한 스마트 결함탐지 시스템

□ 복잡 물리계의 시스템 식별 및 안전 해석

연구실적

□ Pham, Q.Q., Ta, Q.B., Kim, J.T. (2023). Capsule-Like Smart Aggregate with Pre-Determined Frequency Range for Impedance-Based Stress Monitoring. Sensors, 23(1), 434. https://doi.org/10.3390/s23010434 

□ Pham, Q.Q., Ta, Q.B., Park, J.H., Kim, J.T. (2022). Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface. Sensors, 22(24), 9592. https://doi.org/10.3390/s22249592

□ Dang, N.L., Pham, Q.Q., Kim, J.T. (2022). Hybrid vibration-impedance monitoring in prestressed concrete structure with local strand breakage. SMART STRUCTURES AND SYSTEMS, 30(5), 463-477. https://doi.org/10.12989/sss.2022.30.5.463

□ Ta, Q.B., Dang, N.L., Kim, Y.C., Kam, H.D., Kim, J.T. (2022). Semantic crack-image identification framework for steel structures using atrous convolution-based Deeplabv3+ Network. SMART STRUCTURES AND SYSTEMS, 30(1), 17-34. https://doi.org/10.12989/sss.2022.30.1.017

□ Ta, Q.B., Huynh, T.C., Pham, Q.Q., Kim, J.. (2022). Corroded Bolt Identification Using Mask Region-Based Deep Learning Trained on Synthesized Data. Sensors, 22(9), 3340. https://doi.org/10.3390/s22093340 

□ Pham, Q.Q., Dang, N.L., Kim, J.T. (2021). Smart PZT-embedded sensors for impedance monitoring in prestressed concrete anchorage. Sensors, 21(23), 7918. https://doi.org/10.3390/s21237918 

□ Pham, Q.Q., Dang, N.L., Ta, Q.B., Kim, J.T. (2021). Optimal localization of smart aggregate sensor for concrete damage monitoring in PSC anchorage zone. Sensors, 21(19), 6337. https://doi.org/10.3390/s21196337 

□ Pham, H.C., Ta, Q.B., Kim, J.T., Ho, D.D., Tran, X.L., Huynh, T.C. (2021). Correction: Pham et al. Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model. Sensors 2020, 20, 3382. Sensors, 21(16), 5280. https://doi.org/10.3390/s21165280 

□ Huynh, T.C., Nguyen, T.T., Kim, J.T., Ta, Q.B., Ho, D.D., Phan, T.T.V. (2021). Deep learning-based functional assessment of piezoelectric-based smart interface under various degradations. Smart Structures and Systems, An International Journal, 28(1), 69-87.  https://doi.org/10.12989/sss.2021.28.1.069 

□ Pham, Q.Q., Dang, N.L., Kim, J.T. (2021). Piezoelectric sensor-embedded smart rock for damage monitoring in a prestressed anchorage zone. Sensors, 21(2), 353. https://doi.org/10.3390/s21020353 

□ Ta, Q.B., Kim, J.T. (2020). Monitoring of corroded and loosened bolts in steel structures via deep learning and Hough transforms. Sensors, 20(23), 6888.  https://doi.org/10.3390/s20236888