Dr. Choi has been working on many pioneering research projects spanning both engineering mechanics and computer vision supported by NSF (National Science Foundation), NASA, EU (European Union). Much of his work focuses on automating structural health monitoring procedures via visual analytics, mainly through handling big visual data, machine-learning techniques, and aerial manipulations. He redirected and published algorithms for various engineering mechanics applications exploiting computer vision techniques such as Structure-from-Motion (SfM), Multiview geometry, and deep learning. In addition, he has made contributions to the area of propulsion and compressible flow. With the experience, his current research aims to develop smart city applications and automated systems.
2014, M.S., University of Mississippi, Mechanical Engineering
2012, B.S., University of Mississippi, Mechanical Engineering
Experience:
2020 – Pres, Assistant Professor, Department of Mechanical Engineering, SUNY Korea, Incheon, South Korea
2020 – Pres, Research Professor, Department of Mechanical Engineering, SUNY Stony Brook University, Stony Brook, NY, USA
2022 – pres, Committee, Board of Finance, The Korean Society of Mechanical Engineers (KSME) – Division of Reliability Engineering, South Korea.
2021 – pres, Committee, Board of Education, Korea Society for Prognostics and Health Monitoring (KSPHM), South Korea.
2021 – 2021, Short Course Committee, International Conference on Prognostics and Health Management Asia-Pacifistic and Health Management, Jeju, South Korea, September 8 – 11, 2021
2014 – 2020, Research Assistant, School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
2012 – 2014, Research Assistant, Department of Mechanical Engineering, University of Mississippi, University, MS, USA
Course Taught:
ME 301: Thermodynamics
ME 320: Numerical Methods in Engineering Design and Analysis
ME 363: Mechanics of Solids
ME 410: Design of Machine Elements
ME 510: Object-Oriented Programming for Scientists and Engineers: Visual Analytics and Sensing
Representative Research Grants:
Principal Investigator, supported by NRF, Emulation and Enhancement of Human Capability on Infrastructure Assessment: EngineeringSoft-Power Engaged Monitoring and 3 Major Techniques Development (사회인프라검사관능력의모방및강화: 엔지니어링소프트파워를활용한 3종의모니터링자동화요소기술개발) amount of 98 million KRW (equivalent to 80k USD) from Jun 1, 2022 – Feb 28, 2024.
Principal Investigator, supported by Incheon Technopark (ITP), Development of An Integrated MCU (Mechanical Control Units) Component and Module Corresponding to Smart-Car Complex Control System (스마트카복합제어에대응가능한통합형 MCU, Mechanical Control Units, 부품및모듈개발) amount of 60 million KRW (equivalent to 54k USD) from May 1 – Dec 31, 2022.
Participating Researcher, supported by NRF, Space Exploration and In-Situ Resource Utilization Center (SRC) amount of 500 million KRW (equivalent to 417k USD) from June 1, 2022 – Feb 28, 2026.
Principal Investigator, supported by AIDL co., Development of self-stabilizing autonomous guided vehicle (AGV) control system and hardware for infrastructure management exploiting Sensor Fusion and SLAM (시설물관리목적의야외용자율주행로봇의 Sensor Fusion 및 SLAM & NAVIGATION) (Principal Investigator) amount of 5.7 million KRW (equivalent to 5k USD) from Mar 1 – June 30, 2022.
Participating Researcher, supported by Korea Radio Promotion Association (RAPA), XR based Intuitive Inventory System for Smart Factory (스마트팩토리의직관적재고관리를위한 XR 프로젝트) amount of 200 million KRW (equivalent to 165k USD) from Apr 27 – Dec 31, 2021.
Principal Investigator, supported by NRF, Automating visual assessment of infrastructure exploiting computer vision and big visual data (대용량시각데이터를활용한대형사회인프라안전검사모니터링자동화요소기술개발) amount of 30 million KRW (equivalent to 24k USD) from Mar 1, 2021 – Feb 28, 2022.
Representative Publications:
Jongseong Choi*, Ju An Park, Shirley J. Dyke, Chul Min Yeum, Xiaoyu Liu, Ali Lenjani, & Ilias Bilionis (2022), Similarity Learning to Enable Buliding Searches in Post-event Image Data, Computer-Aided Civil and Infrastructure Engineering, 37(2), 261-275 (IF: 11.775, JCR top 0.72%)
Jongseong Choi*, Lazaros Toumanidis, Chul Min Yeum, Patrikakis Charalampos, Ali Lenjani, Xiaoyu Liu, Panagiotis Kasnesis, Ricardo Ortiz, Nin-Jun Jiang, & Shirley J. Dyke (2022), Automated Graffiti Detection: Automated Graffiti Detection: A Novel Approach for Maintaining Historical Architectures in Community, Applied Sciences, 12(6), 2983 (IF: 2.679, JCR top 42.2%)
Xiaoyu Liu, Shirley J. Dyke*, Ali Lenjani, Ilias Bilionis, Xin Zhang, & Jongseong Choi (2022), Automated Image Localization to Support Rapid Building Reconnaissance in a Large-scale Area, Computer-Aided Civil and Infrastructure Engineering(IF: 11.775, JCR top 0.72%)
Xiao-Le Han, Ning-Jun Jiang*, Yu-Fei Yang, Jongseong Choi, Devandra N. Singh, Yan-Jun Du, & Yi-Jie Wang (2022), Deep Learning Approach for the Detection and Instance Segmentation of Clayey Soil Desiccation Crack, Computers and Geotechnics (IF: 4.956, JCR top 12.5%)
Jongseong Choi & Shirley J. Dyke (2020), CrowdLIM: Crowdsourcing to Enable Lifecycle Infrastructure Management. Computers in Industry, 115, 103185. (IF: 7.635, JCR top 8.10%)
Chul Min Yeum*, Jongseong Choi, and Shirley J. Dyke (2019) "Automated Region-Of-Interest Localization and Classification for Vision-Based Visual Assessment of Civil Infrastructure, Structural Health Monitoring. 18(3), 675-689 (IF: 5.929, JCR top 8.89%)
Jongseong Choi, Chul Min Yeum, Shirley J. Dyke, & Mohammad J. Jahanshahi (2018), Computer-aided approach for rapid post-event visual evaluation of a building façade. Sensors, 18(9), 3017 (IF: 3.576, JCR top 29.80%)
Representative Patents:
Jongseong Choi, “Computer Vision Technique to Extract Structural Information from Citizen Science Data: Automated Lifecycle Infrastructure Monitoring Application (시민데이터로부터의구조정보추출을위한컴퓨터비전기법: 사회인프라의생애주기모니터링자동화요소기술)”, Korean Patent No. 10-2021-1068454