I'm a Ph.D. candidate in Industrial Intelligence Laboratory (IILab) at UNIST. My research interests are Industrial AI and Multimodal learning in manufacturing.
Under the supervision of prof. Sunghoon Lim
Jae Gyeong Choi, Dong Chan Kim, Miyoung Chung, Gyeongho Kim, Hyung Wook Park, Sunghoon Lim
Gyeongho Kim, Jae Gyeong Choi, and Sunghoon Lim†
Gyeongho Kim, Soyeon Park, Jae Gyeong Choi, Sang Min Yang, Hyung Wook Park, Sunghoon Lim†
Jae Gyeong Choi*, Dong Chan Kim*, Miyoung Chung*, Sunghoon Lim†, Hyung Wook Park†
Gyeongho Kim, Sang Min Yang, Sinwon Kim, Do Young Kim, Jae Gyeong Choi, Hyung Wook Park, and Sunghoon Lim†
Gyeongho Kim*, Sang Min Yang*, Dong Min Kim, Sinwon Kim, Jae Gyeong Choi, Minjoo Ku, Sunghoon Lim†, and Hyung Wook Park†
Gyeongho Kim, Jae Gyeong Choi, Minjoo Ku, and Sunghoon Lim†
Gyeongho Kim*, Dong-hyun Shin*, Jae Gyeong Choi,, and Sunghoon Lim†
Jae Gyeong Choi, Chan Woo Kong, Gyeongho Kim, Sunghoon Lim†
Gyeongho Kim*, Jae Gyeong Choi*, Minjoo Ku, Hyewon Cho, Sunghoon Lim†
Pan 온도 예측이 가능한 분포 추정 AI 알고리즘 연구
IH쿡탑의 스마트가열을 위한 온도 분포 추정 AI 모델 예측 적확도 향상
시계열 예측의 신뢰성 확보를 위한 분포 추정 인공지능 알고리즘 개발
데이터인프라 제조 AI 데이터셋 구축
산업용 로봇을 이용한 탄소섬유복합재 드릴링 공정 가공면 이미지 생성 및 결함 원인 분석을 통한 AI기반의 최적 공정 운용 시스템 개발
2022년도 「여대학원생 공학연구팀제 지원사업」 심화과정 연구팀
IH 쿡탑 비정상 조리 Scene 감지를 위한 인공지능 알고리즘 개발
자유목적 제조 AI 데이터셋 구축
AI를 기반으로 한 산업용 로봇 가공 시스템의 CFRP 탄소섬유복합재 드릴링 가공 결함 예측
3D 데이터 와 AI의 기술융합을 기반한 3D Pose Estimation Motion Data 개발
지정설비 제조 AI 데이터셋 구축
Lim, Sunghoon, Jae Gyeong Choi, Sun Jun Kim, Minjoo Ku. "SYSTEM AND METHOD FOR ESTIMATING THREE-DIMENSIONAL POSE USING VISIBILITY SCORE (가시성 지표를 활용한 3차원 포즈 추정 시스템 및 방법)." Pending, 2022. (technology transfer)
Jae Gyeong Choi*, Yun Seok Kang*, Hyungwook Park, Sunghoon Lim, "Multimodal Sensor-to-Machined Surface Image Diffusion for Defect Detection in Industrial Processes", 16th Annual Conference of the Prognostics and Health Management (PHM) Society, Doctoral Symposium, Nashville, Tennessee (Nov. 2024) - Oral & Poster
Jae Gyeong Choi, Sunghoon Lim, "Multimodal Sensor-Guided Diffusion Model for Machined Surface Image Synthesis", 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), PhD Consortium, Barcelona, Spain (Aug. 2024) – Poster
Jae Gyeong Choi, Dongchan Kim, Dongmin Kim, Hyungwook Park, Sunghoon Lim, "A Contrastive Autoencoder-based Model for Tool Failure Diagnosis in Cryogenic Milling of Ti-6Al-4V Titanium Alloy", PHM Korea 2023, Seoul, Korea (July. 2023) - Poster
Jae Gyeong Choi, Dongchan Kim, Miyoung Chung, Hyungwook Park, Sunghoon Lim, "Sensor to Machined Surface Image Generation in CFRP Drilling", institute of industrial and systems engineers (IISE) Annual Conference & Expo 2023, New Orleans, Louisiana (May. 2023) - Oral
Jae Gyeong Choi*, Ga Hyeon Kim*, Sunghyeon Kim*, Dongchan Kim, Miyoung Chung, Hyungwook Park, Sunghoon Lim, "AI-Based delamination prediction and cause analysis in carbon fiber reinforced plastic (CFRP) drilling processes", Korean Society for Precision Engineering Fall Conference, Daegu, Korea (Oct. 2022) - Poster
Jae Gyeong Choi*, Dongchan Kim*, Miyoung Chung*, Sunghoon Lim, Hyungwook Park, "A multimodal 1D convolutional neural network for delamination prediction in carbon fiber reinforced plastic (CFRP) drilling processes", Joint conference of Korean Operations Research and Management Science Society & Korean Institute of Industrial Engineers, Je-ju, Korea (Jun. 2022) - Oral
Dongchan Kim*, Jae Gyeong Choi*, Miyoung Chung*, Jaewoo Seo, Sunghoon Lim, Hyungwook Park, "AI-based delamination prediction in carbon fiber reinforced plastic (CFRP) drilling processes with an industrial robot machining system (AI 기반 산업용 로봇 가공공정 시스템의 CFRP 홀 결함 예측)", The Korean Society of Manufacturing Technology Engineers, Je-ju, Korea (Dec. 2021) - poster
Jae Gyeong Choi, Chanwoo Cong, Gyeongho Kim, Sunghoon Lim, "Car crash detection using ensemble deep learning and multimodal data from dashboard cameras", Korea Safety Management & Science, Ulsan, Korea (Oct. 2021) - Oral
Gyeongho Kim*, Jae Gyeong Choi*, Minjoo Ku, Hyewon Cho, Sunghoon Lim, "Developing a deep learning-based fault detection model for plastic injection molding for car parts companies", KSQM Spring Conference, Seoul, Korea (May. 2021) - Oral
Jae Gyeong Choi, Chanwoo Cong, Sunghoon Lim, "Developing machine-learning-based car crash detection systems using video and audio data", Korean Institute of Industrial Engineers (KIIE), Seoul, Korea (Nov. 2019) - Oral
Jae Gyeong Choi, Chan Woo Kong, Sunghoon Lim