Jae Gyeong Choi | 최재경

Ulsan National Institute of Science and Technology (UNIST)

Combined M.S. and Ph.D. Program of industrial Engineering • 2020 — present

Under the supervision of prof. Sunghoon Lim

Ulsan National Institute of Science and Technology (UNIST)

Bachelor of Human Engineering • 2015 — 2019

Multimodal 1D CNN for Delamination Prediction in CFRP Drilling Process with Industrial Robots • link

Computers & Industrial Engineering (2024)

Jae Gyeong Choi^*, Dong Chan Kim^*, Miyoung Chung^*, Sunghoon Lim, Hyung Wook Park

A multi-domain mixture density network for tool wear prediction under multiple machining conditions • link

International Journal of Production (2023)

Gyeongho Kim, Sang Min Yang, Sinwon Kim, Do Young Kim, Jae Gyeong Choi, Hyung Wook Park, and Sunghoon Lim

Bayesian-Based Uncertainty-Aware Tool-Wear Prediction Model in End-Milling Process of Titanium Alloy • link

Applied Soft Computing (2023)

Gyeongho Kim^*, Sang Min Yang^*, Dong Min Kim, Sinwon Kim, Jae Gyeong Choi, Minjoo Ku, Sunghoon Lim, and Hyung Wook Park

Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing • link

Computers & Industrial Engineering (2023)

Gyeongho Kim, Jae Gyeong Choi, Minjoo Ku, and Sunghoon Lim†

A Deep Learning-based Cryptocurrency Price Prediction Model That Uses On-chain Data • link

IEEE Access (2022)

Gyeongho Kim^*, Dong-hyun Shin^*, Jae Gyeong Choi,, and Sunghoon Lim

Car crash detection using ensemble deep learning and multimodal data from dashboard cameras • link

Expert Systems with Applications (2021)

Jae Gyeong Choi, Chan Woo Kong, Gyeongho Kim, Sunghoon Lim

A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process • link

IEEE Access (2021)

Gyeongho Kim^*, Jae Gyeong Choi^*, Minjoo Ku, Hyewon Cho, Sunghoon Lim

Accurate Synthesis of Sensor to Machined Surface Image Generation in CFRP Drilling • link

(Under review)

Multi-source domain generalisation for tool failure prediction in cryogenic milling of Ti-6AI-4V titanium alloy • link

(Ongoing)

Excellence award • 우수상

Artificial Intelligence Challengers Program, UNIST (Ulsan National Institute of Science and Technology) Innovative Education Center, Korea • Dec. 2022

Excellence award • 학술발표우수상

Korea Safety Management & Science • Nov. 2022

Best paper award • 논문우수발표상

The Korean Society of Manufacturing Technology Engineers • July. 2022

Research Subsidies for Ph.D. Candidates • 박사과정생 연구장려금

National Research Foundation of Korea, NRF • Jun. 2022

Grand award • 최우수상

HYUNDAI HEAVY INDUSTRIES GROUP, Korea • Feb. 2022

korean english

Excellence award • 우수상

Artificial Intelligence Challengers Program, UNIST (Ulsan National Institute of Science and Technology) Innovative Education Center, Korea • Dec. 2021

korean english

Best poster award

BIEN (The International Conference of Women Scientists and Engineers conference on BT, IT, ET and NT) • Aug. 2021

korean english

Pan 온도 예측이 가능한 분포 추정 AI 알고리즘 연구

Research on AI algorithms for distribution estimation capable of predicting pan temperature"

LG Electronics (LG전자), Korea

Team leader • Dec. 2023 — Aug. 2024.

IH쿡탑의 스마트가열을 위한 온도 분포 추정 AI 모델 예측 적확도 향상

Improving the accuracy of temperature distribution estimation for IH cooktops smart heating using an AI model for predictive analysis

LG Electronics (LG전자), Korea

Team leader • Mar. 2023 — Sept. 2023

시계열 예측의 신뢰성 확보를 위한 분포 추정 인공지능 알고리즘 개발

Development of an AI algorithm for estimating distributions to ensure reliability in time series forecasting

LG Electronics (LG전자), Korea

Team leader • Oct. 2022 — Mar. 2023

데이터인프라 제조 AI 데이터셋 구축

Building manufacturing AI datasets • link

Ministry of SMEs and Startups (중소벤처기업부), Korea

Team member • Jul. 2022 — Dec. 2022

산업용 로봇을 이용한 탄소섬유복합재 드릴링 공정 가공면 이미지 생성 및 결함 원인 분석을 통한 AI기반의 최적 공정 운용 시스템 개발

Development of an AI model for the optimal process operation through machined surface image generation and defect cause analysis of a carbon fiber reinforced plastic drilling process with industrial robots

2022 AI Challengers Program in Ulsan National Institute of Science and Technology, Korea

Team leader • Apr. 2022 — Dec. 2022

2022년도 「여대학원생 공학연구팀제 지원사업」 심화과정 연구팀

2022 「Female Graduate Student Engineering Research Team Support Project」 Advanced course research

Korea Foundation for Women In Science, Engineering and Technology (한국여성과학기술인육성재단), Korea

Team leader • Apr. 2022 — Oct. 2022

IH 쿡탑 비정상 조리 Scene 감지를 위한 인공지능 알고리즘 개발

Development of an AI algorithm for detecting IH cooktop abnormal cooking scene

LG Electronics (LG전자), Korea

Team leader • Jan. 2022 — Jul. 2022

자유목적 제조 AI 데이터셋 구축

Building manufacturing AI datasets • link

Ministry of SMEs and Startups (중소벤처기업부), Korea

Team member • Sep. 2021 — Dec. 2021

AI를 기반으로 한 산업용 로봇 가공 시스템의 CFRP 탄소섬유복합재 드릴링 가공 결함 예측

AI-based defect prediction during the CFRP drilling process with an industrial robot machining system

2021 AI Challengers Program in Ulsan National Institute of Science and Technology, Korea

Team leader • Aug. 2021 — Dec. 2021

3D 데이터 와 AI의 기술융합을 기반한 3D Pose Estimation Motion Data 개발

3D Pose Estimation Motion Data Development based on the Fusion of 3D Data and AI

Institute of Information & communications Technology Planning & evaluation (IITP, 정보통신기획평가원), Korea

Team leader • Apr. 2021 — Mar. 2022

지정설비 제조 AI 데이터셋 구축

Building AI datasets for designated facility manufacturing • link

Ministry of SMEs and Startups (중소벤처기업부), Korea

Team member • Sep. 2020 — Nov. 2020

Manufacturing data analysis and AI model development

InterX, Korea

Team leader • Jun. 2020 — Nov. 2020

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, Dongchan Kim, Dongmin Kim, Hyungwook Park, Sunghoon Lim, "Autoencoder-Based Tool Failure Diagnosis and Prediction in Cryogenic Milling of Ti-6Al-4V Titanium Alloy", International Symposium on Precision Engineering and Sustainable Manufacturing (PRESM) 2023, Okinawa, Japan (July. 2023) - 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

Developing machine-learning-based car crash detection systems using video and audio data

Journal of the Korea Safety Management and Science (2020)

Jae Gyeong Choi, Chan Woo Kong, Sunghoon Lim