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Operations Research &
Graduate Students (MS-Ph.D Integrated)
Graduate Students (MS-Ph.D Integrated)
Changjin Lim (임창진)
Research Interest: Quantum Optimization, Deep Learning
Email: rkqjflwk1@inha.edu
Presentation: 2023 대한산업공학회 추계학술대회, 2024 대한산업공학회 추계학술대회
Award: 2023 한국품질경영학회 대학(원)생 아이디어 경진대회 대상, 2025 박사과정생 연구장려금
Publication:
1. TripletMatch: Wafer Map Defect Detection Using Semi-Supervised Learning and Triplet Loss with Mixup (IEEE Access)
2. Hybrid Quantum Annealing with Replica Interaction and Local Search for Routing Optimization (Submitted)
Jaehyeop Hong (홍재협)
Research Interest: Deep Learning, Audio Speech Recognition (ASR), Time Series Anomaly Detection
Email: jaehyeop.hong@inha.edu
Patent: 이상치를 이용한 자기지도학습 기반 이상 감지 방법 및 시스템 (국내특허 출원완료)
Presentation: 2024 대한산업공학회 추계학술대회
Award: 2023 한국품질경영학회 대학(원)생 아이디어 경진대회 장려상
Publication:
1. Self-Supervised Anomaly Detection using Outliers for Multivariate Time Series (IEEE Access)
2. Out-of-Distribution Detection for Semiconductor Wafer Map Defect using GAN and Outlier-Exposure (Journal of Korean Society for Quality Management)
3. CALAD: Channel-Aware contrastive Learning for multivariate time series Anomaly Detection (ICPR 2026)
Graduate Students (MS)
Graduate Students (MS)
Jinhyuk Suh (서진혁)
Research Interest: Deep Learning, Out-of-distribution (OOD) Detection, Object Detection
Email: jh0618@inha.edu
Presentation: 2025 대한산업공학회 춘계학술대회
Patent: 다중 프로토타입 대조학습 기반 분포 외 데이터 검출 방법 및 시스템 (국내특허 출원완료)
Publication:
1. Pixel-level Anomaly Detection System for Casting Process Using an Unsupervised Deep Learning Model (Journal of Korean Institute of Industrial Engineers)
2. Hard Negative-Aware Multi-Prototype Contrastive Learning for Out-of-Distribution Detection (Submitted)
3. Few-shot Anomaly Detection via Selective Knowledge Distillation for Industrial Applicaitons (Submitted)
Hyeongmuk Lim (임형묵)
Research Interest: Deep Learning, Image/Video Anomaly Detection
Email: gudanr777@inha.edu
Award: 2024 한국품질경영학회 대학(원)생 아이디어 경진대회 품질미래상, 2025 석사과정생 연구장려금
Publication:
1. Pixel-level Anomaly Detection System for Casting Process Using an Unsupervised Deep Learning Model (Journal of Korean Institute of Industrial Engineers)
2. CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection (ICPR 2026)
Hyojin Jung (정효진)
Research Interest: Deep Learning, Handling Noisy Labels
Email: 12200763hj@inha.edu
Award: 2024 한국품질경영학회 대학(원)생 아이디어 경진대회 품질미래상
Publication:
1. Deep learning based steel plate surface defect detection with Precise RoI Pooling (Journal of Korean Society for Quality Management)
2. Divide, Select and Learn: Recent Trends in Sample Selection for Noisy Label Learning (Submitted)
Minju Kim (김민주)
Research Interest: Deep Learning, Time Series Anoamly Detection
Email: 12213093kmj@inha.edu
Award: 2024 한국품질경영학회 대학(원)생 아이디어 경진대회 품질미래상
Publication:
1. Out-of-Distribution Detection for Semiconductor Wafer Map Defect using GAN and Outlier-Exposure (Journal of Korean Society for Quality Management)
2. PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows (ICPR 2026)
Undergraduate Students
Undergraduate Students
Yuri Kim (김유리)
Expected to join Spring 2027
Seoyun Hong (홍서윤)
Expected to join Fall 2027
Alumni
Alumni
Wonhee Lee (이원희)
Degree: M.S. (2025)
Thesis Title: Transition Matrix-Based Auto-Labeling Framework for Noisy Labels
Current Position: Kia (남양연구소 차체선행생산기술팀)
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