Ph.D. in Industrial Engineering, Sungkyunkwan University, 2025.08.
Dissertation: Deep Learning-Based Machine Vision with Limited Data
Current Affiliation: Samsung Electronics
E-mail: via_monoh at naver.com
Ph.D. in Industrial Engineering, Sungkyunkwan University, 2025.02.
Dissertation: Efficient Learning of Chemical Knowledge with Graph Neural Networks
Current Affiliation: Samsung Advanced Institute of Technology
E-mail: hjm9702 at gmail.com
Ph.D. in Industrial Engineering, Sungkyunkwan University, 2024.02.
Dissertation: Knowledge Distillation of Regression Neural Network
Current Affiliation: Samsung Advanced Institute of Technology
E-mail: mikang19960228 at gmail.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2024.02.
Thesis: Supervised Contrastive Learning for Wafer Map Pattern Classification
Current Affiliation: Samsung Electronics
E-mail: qodudwos at gmail.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2023.08.
Thesis: Dynamic Ensemble of Local Experts for Classification
Current Affiliation: HDC Labs
E-mail: gozjd1234 at naver.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2023.08.
Thesis: Mixup-Based Regularization for Self-Supervised Learning
Current Affiliation: MakinaRocks
E-mail: cneyang at g.skku.edu
M.S. in Industrial Engineering, Sungkyunkwan University, 2023.08.
Thesis: Dynamic Ensemble of Local Regression Neural Networks for Data-Decentralized Environments
Current Affiliation: Samsung Electronics
E-mail: lyhyung1013 at naver.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2023.02.
Thesis: Class-Adaptive Policy Optimization for Data Augmentation
Current Affiliation: LG Energy Solution
E-mail: yoo171084 at gmail.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2023.02.
Thesis: Knowledge Distillation for Efficient Anomaly Detection
Current Affiliation: SK Hynix
E-mail: zosejtm318 at g.skku.edu
M.S. in Industrial Engineering, Sungkyunkwan University, 2023.02.
Thesis: Selective Test-Time Augmentation for Efficient Accuracy Improvement
Current Affiliation: LG Energy Solution
E-mail: jwson0308 at gmail.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2022.02.
Thesis: Combining Deep Learning with Domain Knowledge for Wafer Map Pattern Classification
Current Affiliation: PhD Student, SKKU
E-mail: via_monoh at naver.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2022.02.
Thesis: Post-Processing Based on Recursive Feedback for Image Segmentation
Current Affiliation: LG Innotek
E-mail: beef.or.pork at gmail.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2022.02.
Thesis: Uncertainty-Aware Active Learning for Incomplete Data
Current Affiliation: PhD Student, SKKU
E-mail: hjm9702 at gmail.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2021.08.
Thesis: Semi-Automation of Wafer Map Pattern Classification with Convolutional Neural Network
Current Affiliation: LG AI Research
E-mail: suhee.y66 at gmail.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2021.02.
Thesis: Advanced Oversampling Methods for Training Neural Networks
Current Affiliation: LG Energy Solution
E-mail: 21khaiden at gmail.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2024.08.
Thesis: 능동 학습을 활용한 팬 유동 해석 효율화 방안
Current Affiliation: Shinsung E&G
E-mail: n_kh at shinsung.co.kr
M.S. in Semiconductor and Display Engineering, Sungkyunkwan University, 2024.02.
Thesis: Machine Learning-Based Prediction of Wafer Calibration Position of Backside Via Reveal Etch Process
Current Affiliation: Samsung Electronics
E-mail: sekwang23 at gmail.com
M.S. in Industrial Engineering, Sungkyunkwan University, 2024.02.
Thesis: 인공신경망을 활용한 제습 로터 설계 최적화
Current Affiliation: Shinsung E&G
E-mail: naraekim at shinsung.co.kr
M.S. in Industrial Engineering, Sungkyunkwan University, 2022.08.
Thesis: 인공지능 기반 VOCs 농축 촉매 산화 시스템 제어 최적화
Current Affiliation: Shinsung E&G
E-mail: kimyj81 at shinsung.co.kr