Yonsei University, Ph.D. in Industrial Engineering, 2021

Yonsei University, B.S. in Industrial Engineering, 2015

Assistant Professor, The Catholic University of Korea, 2022-Present

Director of AI Lab, DenComm, 2023-Present  (Concurrently affiliated)

Postdoctoral Scholar, Northwestern University, 2021-2022

• Jaeyeon Jang*†, Diego Klabjan, Han Liu, Nital S. Patel, Xiuqi Li, Balakrishnan Ananthanarayanan, Husam Dauod, and Tzung-Han Juang, Scalable multi-agent reinforcement learning for factory-wide dynamic scheduling in semiconductor manufacturing, Engineering Applications of Artificial Intelligence, 161, B, 112168, 2025.

• Jaeyeon Jang*†, Young-Ik Kim, and Hyeonseong Lee, Adaptive teaching with shared classifier for knowledge distillation, Neurocomputing, 655, 131343, 2025.

• Sungkyu Jung*, Jaeyeon Jang†, and Chang Ouk Kim†, A lightweight two-step detection method for real-time small UAV detection, IEEE Access, 13, 128771-128788, 2025. 

• Yu Gyeong Ji*, In Ho Kim*, Minjeong Shin, Gyeong Taek Lee†, and Jaeyeon Jang†, Advanced virtual metrology using distribution alignment loss for practical quality control, To appear in International Journal of Production Research, 2025.

• Jaeyeon Jang*†, Diego Klabjan, Han Liu, Nital S. Patel, Xiuqi Li, Balakrishnan Ananthanarayanan, Husam Dauod, and Tzung-Han Juang, Learning multiple coordinated agents under directed acyclic graph constraints, Expert Systems with Applications, 283, 127744, 2025. 

• Jaeyeon Jang* and Chang Ouk Kim†, Teacher-explorer-student learning: A novel learning method for open set recognition, IEEE Transactions on Neural Networks and Learning Systems, 36(1), 767-780, 2025.

• Soonjae Kwon*, Jaeyeon Jang and Chang Ouk Kim†, Credit scoring using multi-task Siamese neural network for improving prediction performance and stability, Expert Systems with Applications, 259, 125327, 2025.

• Jaeyeon Jang*†, Synthetic unknown class learning for learning unknowns, Pattern Recognition, 153, 110560, 2024.

• Jaeyeon Jang* and Chang Ouk Kim†, Collective decision of one-vs-rest networks for open set recognition, IEEE Transactions on Neural Networks and Learning Systems, 35(2), 2327-2338, 2024.

• Seung Ryeong Baek* and Jaeyeon Jang†, A two-stage semi-supervised object detection method for SAR images with missing labels based on meta pseudo-labels, Expert Systems with Applications,  236, 121405, 2024.

• Ha Jun Hwang*, Jaeyeon Jang, Jongkwan Choi, Jung Ho Bae, Sung Ho Kim, and Chang Ouk Kim†, Stepwise Soft Actor-Critic for UAV Autonomous Flight Control, Drones, 7(9), 549, 2023.

• GyeongTaek Lee*, KangJin Kim, and Jaeyeon Jang†,  Real-time path planning of controllable UAV by subgoals using goal-conditioned reinforcement learning, Applied Soft Computing, 146, 110660, 2023.

• Hyeong Gu Lim*, Jaeyeon Jang, Byung Kook Ju, Jae Woo Ko, and Chang Ouk Kim†, A test vector selection method based on machine learning for efficient presilicon verification, Expert Systems with Applications, 224, 120056, 2023.

• Jaeyeon Jang* and Gyeong Taek Lee†, Decision fusion approach for detecting unknown wafer bin map patterns based on a deep multitask learning model, Expert Systems with Applications, 215, 119363, 2023.

• Gyeong Taek Lee*, HyeongGu Lim, and Jaeyeon Jang†, Sequential residual learning for multistep processes in semiconductor manufacturing, IEEE Transactions on Semiconductor Manufacturing, 36(1), 37-44, 2023.

• Jaeyeon Jang*†, A deep learning-based conditional system health index method to reduce the uncertainty of remaining useful life prediction, Soft Computing, 27, 3641-3654, 2023.

• Jaeyeon Jang* and Chang Ouk Kim†, Siamese network-based health representation learning and reference-based robust remaining useful life prediction, IEEE Transactions on Industrial Informatics, 18(8), 5264-5274, 2022.

• Jaeyeon Jang* and Chang Ouk Kim†, Unstructured borderline self-organizing map: learning highly imbalanced, high-dimensional datasets for fault detection, Expert Systems with Applications, 188, 116028, 2022.

• Sinyoung Kim*, Jaeyeon Jang, and Chang Ouk Kim†, A run-to-run controller for a chemical mechanical planarization process using least squares generative adversarial networks, Journal of Intelligent Manufacturing, 32, 2267–2280, 2021.

• Seyoung Park*, Jaeyeon Jang, and Chang Ouk Kim†, Discriminative feature learning and cluster-based defect label reconstruction for reducing uncertainty in wafer bin map labels, Journal of Intelligent Manufacturing, 32, 251–263, 2021.

• Jaeyeon Jang*, Minkyung Seo, and Chang Ouk Kim†, Support weighted ensemble model for open set recognition of wafer map defects, IEEE Transactions on Semiconductor Manufacturing, 33(4), 635-643. 2020.

• Jaeyeon Jang* and Byung Do Chung†, Aggregate production planning considering implementation error: A robust optimization approach using bi-level particle swarm optimization, Computers & Industrial Engineering, 142, 106367, 2020.

• Jaeyeon Jang*, Byung Wook Min, and Chang Ouk Kim†, Denoised residual trace analysis for monitoring semiconductor process faults, IEEE Transactions on Semiconductor Manufacturing, 32(3), 293-301, 2019.

• Jaeyeon Jang*, Hyui Geon Yoon, Jeong Cheol Kim, and Chang Ouk Kim†, Adaptive weapon-to-target assignment model based on the real-time prediction of hit probability, IEEE Access, 7, 72210-72220, 2019.

• Jueun Kwak*, Ki Bum Lee, Jaeyeon Jang, Kyong Soo Chang, and Chang Ouk Kim†, Automatic inspection of salt-and-pepper defects in OLED panels using image processing and control chart techniques, Journal of Intelligent Manufacturing, 30(3), 1047-1055, 2019.

• Seokgi Lee*†, Byung Do Chung, Hyun Woo Jeon, and Jaeyeon Jang, A dynamic control approach for energy-efficient production scheduling on a single machine under time-varying electricity pricing, Journal of Cleaner Production, 165(1), 552-563, 2017.

• 이한강, 장재연, 안재민, 김창욱*, 유도탄의 실시간 표적 재지정을 위한 랜덤 포레스트 기법과 시뮬레이션 기반 효과 분석, 한국시뮬레이션학회 논문지, 27(2), 35-48, 2018.

• 장재연, 이호엽, 김창욱*, 군중 행동 모형을 이용한 재난 대응 시뮬레이션: 영화관을 중심으로, Telecommunications Review, 24(6), 828-839, 2014.

• Jaeyeon Jang*, Daeyeol Yang, and Chang Ouk Kim†, A conditional system health index based prognostics and health management method for uncertainty management, In INFORMS International Conference, 2019.

• 윤채원*, 김현이*, 장재연†, Online cross-task knowledge distillation: Transferring target tasks and dynamically balancing loss under low-resource labeled data settings, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2025.

• 이윤서*, 유준영*, 장재연†, MissGBM: 결측치에 강건한 Gradient Boosting 모델, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2025.

• 양대열, 김창욱†, 장재연, Classifying mixed-defect from class-imbalanced single-defect in wafer bin maps using class-mixing diffusion model with prompt-wise attention score similarity, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2025.

• 김건우*, 김현이, 장재연†, Task adaptation: 데이터 부족 Task 학습을 위한 전이학습 기법 개발, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2024.

• 조제형, 장재연, 김창욱†, Teacher-student 모델 기반 불확실한 클래스 정보를 가진 웨이퍼 빈 맵의 자동 분류, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2024.

• 류승열, 김건우, 장재연†, 적응적 자기 지도 학습: 데이터 노이즈에 강건한 표면 이상 탐지 모델 개발, 대한산업공학회/한국경영과학회 춘계공동학술대회, 2023.

• 김상진*, 장재연, 김창욱†, Wafer grading process based on Bayesian optimization with inattention mechanism, 대한산업공학회/한국경영과학회 춘계공동학술대회, 2023.

• 김신영*, 장재연, 김창욱†, LSGAN을 이용한 chemical mechanical planarization 공정의 run-to-run 제어 모델, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2019.

• 장재연*, 이한강, 김창욱†, 랜덤 포레스트 기법과 시뮬레이션을 이용한 전술탄도미사일 위협 상황에서의 유연한 교전 체인 모델 연구, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2018.

• 이한강*, 김창욱†, 장재연, 엄민용, 태재웅, 반도체 에칭 공정에서 웨이퍼 내의 공간 위치를 고려한 가상 계측 모형, 대한산업공학회/한국경영과학회/한국시뮬레이션학회 춘계공동학술대회, 2017.

• 장재연*, 민병욱, 김창욱†, Denoising Autoencoder 기반의 반도체 공정 이상 탐지, 대한산업공학회 추계학술대회, 2016.

• 장재연*, 이호엽, 김창욱†, 2단계 군중 행동 모형을 이용한 복잡한 건물의 재난 대피 시뮬레이션, 대한산업공학회/한국경영과학회/한국산업경영시스템학회/한국시뮬레이션학회 춘계공동학술대회, 2016.

• 장재연*, 이호엽, 김창욱†, 멀티 에이전트 시뮬레이션을 이용한 영화관 재난 대피 모형, 한국경영과학회 추계학술대회. 2014.

• Seungyeol Ryu*, Geonwoo Kim, and Jaeyeon Jang†, An adaptive contrastive learning based robust surface defect detection model for noisy datasets, Submitted to Expert Systems.

• Hyeong Gu Lim*, Jaeyoen Jang, Jongkwan Choi, Kyeong Hui Kim, and Chang Ouk Kim†, Fine-tuning double exponentially weighted moving average run-to-run process control method for chemical mechanical polishing using autoencoder, Submitted to IEEE Transactions on Semiconductor Manufacturing.

• Daeyeol Yang*, Jaeyeon Jang†, and Chang Ouk Kim†, Classifying mixed-defect from single-defect training in imbalanced wafer maps via diffusion and attention, Submitted to IEEE Transactions on Industrial Informatics. 

• Young-Ik Kim*, Jeong-Ju Choi*, Jin NamGoong, Sunghoon Cho, and  Jaeyeon Jang†, Dual transcription of spoken and written text with speech recognition and large language model, Submitted to 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing.

• Jaeyeon Jang, Yoon Seo Lee, Joon Young Yoo, Minsik Kim, and Hong Joo Lee, Method for generating training data of machine learning model for providing caregiver service and electronic device performing the same, 10-2024-0160868 (application), KR, Nov. 2024. 

• Jaeyeon Jang, Geon Woo Kim, Hyeoni Kim, Chae Won Yun, and Seung Yeol Ryu, Method for assisting marketers in data analysis and electronic device for performing the same, 10-2024-0160714 (application), KR, Nov. 2024.

• Jaeyeon Jang, Hong Joo Lee, Minsik Kim, Geon Woo Kim, Seung Yeol Ryu, and Hyeoni Kim, Care product recommendation system to improve nursing service quality, 10-2023-0185772 (application), KR, Dec. 2023.

• Jaeyeon Jang, Hong Joo Lee, Minsik Kim, Seung Yeol Ryu, and Ju Won Min, Method for training caregiver-patient matching model that infers matching information between caregiver and patient and matching caregiver-patient using caregiver-patient matching model, 10-2635315, KR, Feb. 2024.

• Chang Ouk Kim and Jaeyeon Jang, Method for fault detection and fault diagnosis in semiconductor manufacturing process, 10-2362159, KR, Feb. 2022.

• Chang Ouk Kim and Jaeyeon Jang, Method for fault detection and fault diagnosis in semiconductor manufacturing process, 10-2291964, KR, Aug. 2021.

(Apr 24 - Nov 24) AI-based hospital care system development

National Research Foundation of Korea (NRF) (PI)

(Jul 23 - Dec 23) Development of a care product recommendation system for enhancing caregiving service quality

National Research Foundation of Korea (NRF) (PI)

(Sep 22 - Jan 23) Customer-customized information system development for patients, protectors, caregivers based on big data analysis

National Research Foundation of Korea (NRF) (PI)

(Jun 22 - Feb 24) Open Set recognition system development for process intelligence

National Research Foundation of Korea (NRF) (PI)

(May 22 - Nov 22) AI based laser welding anomaly detection algorithm development

LG Electronics

(Jun 21 - Dec 22) Agile manufacturing systems

Intel

(Sep 20 - May 21) Lifetime prediction based optimization modeling for semiconductor sub-component inventory management

SK Hynix

(Jun 19 - May 21) An intelligent production management system based on artificial intelligence scheduler

National Research Foundation of Korea (NRF)

(Jun 19 - Aug 20) A preliminary study on AI/PHM technique for prediction of engine health condition and diagnosis of aging

Korea Shipbuilding & Offshore Engineering

(Sep 19 - Feb 20) Process substrate image location correction and unknown defect detection model development

SK Hynix

(Feb 19 - Jun 19) Machine learning based quality control system in wafer testing

SK Hynix

(Jun 16 - May 19) Smart thinking factory: Intelligent production management using manufacturing data science

National Research Foundation of Korea (NRF)

(Jun 16 - Feb 18) A study on the real-time reassigning technique of guided missile

South Korea Agency for Defense Development

(Mar 16 - Feb 17) Deep learning technique development to maximize the performance of detecting various spot defects

Samsung Display