| 2023 | Capacity Scalability Planning Algorithms for Job-shop-type Reconfigurable Manufacturing Systems with Dynamic Demands | 리학빈 |
| 2023 | A Genetic Programming based Deep Reinforcement Learning Approach for Dynamic Hybrid Flow Shop Scheduling with Reworks under General Queue Time Limits | 김여름 |
| 2022 | Anomaly detection using an ensemble of multi-point LSTMs | Youngju Yoon |
| 2022 | Unsupervised defect classification using casting product images based contrastive similarity | Byeong Yong Bae |
| 2022 | Customer-Rush 현상 기반의 자동차 보증데이터 고장률 추정 방법에 관한 연구 | 강민기 |
| 2022 | Scheduling Algorithms for Multi-Stage Flow Shops with Reworks under Overlapped Queue Time Limits | 김현일 |
| 2022 | Informer based multivariate time series anomaly detection | 양동욱 |
| 2022 | Compression of deep learning models through global weight pruning using alternating direction method of multipliers | 황보성훈 |
| 2022 | Comparisons of regression and machine learning models for cycle time and WIP prediction in reentrant flow shop | 윤기원 |
| 2021 | 변화점 모형화를 통한 네트워크 트래픽 이상 전조 탐지에 대한 연구 | 이재승 |
| 2021 | 베이지안 방법론 기반의 다중클래스 앙상블 분류 성능 향상 방안 | 전성대 |
| 2021 | 배치 형태의 비선형 모수 추정 문제 해결을 위한 휴리스틱 알고리즘의 성능 개선 | 김기헌 |
| 2021 | Solely Transformer Based Variational Auto Encoder for Language Modeling | 옥창원 |
| 2021 | Priority Rule and Machine Learning based Scheduling for a Flexible Manufacturing System with Multi-fixturing Pallets | 허성식 |
| 2021 | Dynamic production control for Decentralized CONWIP system and its application to reentrant hybrid flowshop | 김지연 |
| 2021 | Disassembly Leveling and Lot-sizing for Multiple Product Types with Uncertain Component Demands | 최윤혁 |
| 2021 | 작업자 이동이 가능한 라인에서 사이클 타임 최소화를 위한 동적 라인밸런싱 문제 | 성승현 |
| 2021 | Grad-CAM(Gradient-Class Activation Map)을 이용한 복합 불량 패턴 분해 | 지영준 |
| 2021 | Dual Recurrent neural networks using partial linear dependence for a multivariate time series | 박형진 |
| 2021 | Adaptive boosting for ordinal target variables using neural networks | 엄인성 |
