Conference Papers

International Conference

• 1. 1.  Jaehoon Lee, Seungwoo Lee, Hyerim Bae, Sunghyun Sim*, "Bidirectional Causality between Arctic Sea Ice and Maritime Traffic: A Regional Analysis Using ASTD Data", Aug 2025, ICICIC2025, Kitakyushu, Japan

     2. Younghwi Kim, Hyerim Bae, Sunghyu Sim*, "ST-Correlation Transformer-Based Hybrid Network for Spatiotemporal Forecasting of Arctic Marine Emissions" Aug 2025, ICICIC2025, Kitakyushu, Japan

     3. Doohyun Kim, Joongrock Kim, Sunghyun Sim*, "Ensemble Index Recording-Based Pruning for Enhancing Robustness of Edge AI Models in Smart Port Environments " Aug 2025, ICICIC2025, Kitakyushu, Japan (Best paper in ICICIC2025)

     4. Younghwi Kim, Sunghyu Sim*, "Multi-Dimensional Interdependency Network for Long-Term Forecasting of Pollutant Emissions from Arctic Ocean Ships " Jul 2025, ICECET2025, Paris, France

     5. Seungwoo Lee, Sunghyun Sim*, "Spatio-Temporal Multimodal Large Language Model for Air Quality Index Prediction"Jul 2025, ICECET2025, Paris, France

     6. Younghwi Kim, Sunghyun Sim*, Sangeun Park, "Advancing Adolescent Nutrition: AI and XR Environment Solutions for School Meal Nutrition Management, Jun 2025, Maastricht, Netherlands

     7. Dahyun Kang, Sunghyun Sim* , "A Study on AI-Based Data Processing Methods for Analyzing Age Voice Data Collected in the Metaverse Environment", Jun 2025, Maastricht, Netherlands

     8. Gawon Lee, Dohee Kim, Segil Park, Sunghyun Sim, Ling Liu, Hyerim Bae,  "Neural Bezier Interpolation with Manifold Learning for Reliable Vessel Trajectory Prediction", Oct 2024, CogMI2024, Washington DC, USA

     9. Younghwi Kim, Jaehoon Lee, Seungwoo Lee, Sunghyun Sim*, "Dual-Dimensional Dependency Fusion Transformer for Long-Term Spationtemporal Flow", Sep 2024, ICICIC2024, Qinhuangdao, China

     10. Jeaeun Kwon, Sunghyun Sim, Hyrim Bae*, "Enhancing Predictive Power and Interpretablility Power Model Based on Feature Engineering", Sep 2024, ICICIC2024, Qinhuangdao, China

     11. Jaehyeon Heo, Dohee Kim, Sunghyun Sim, Hyerim Bae*, "A Semi-supervised Learning Imputation Model for Automatic Identification System Data", Aug 2025, LOGMS2024, Hamburg, Germany

     12. Suhyeon Jo, Dohee Kim, Sunghyun Sim, Hyerim Bae*, "Spatial-Temporal Analysis of Ship Collision Risk", Aug 2025, LOGMS2024, Hamburg, Germany

     13. Younghwi Kim, Seok Chan Jeong, Seungwoo Lee, Sunghyun Sim*, "Legacy Learning Frameworks for Simultaneous Font Design and Application in a Metaverse Environment",  May 2024, Busan, Korea

     14. Sunghyun Sim, Jeahoon Lee, Seungwoo Lee, Dohee Kim, Hyerim Bae*, "Real-time Predictive Maritime Logistics Metaverse Service for Addressing Environmental and Safety Issues in Maritime Logistics",  May 2024, Busan, Korea

     15. Dohee Kim, Sunghyun Sim, Bori Yoon, Ling Liu, Hyerim Bae*, "Improving time-series classification accuracy based on temporal feature representation learning using CRU-LSTM autoencoder", Nov 2023, CogMI2023, Atlanta, USA

     16. Sunghyun Sim*, "Spatial-Temporal Analysis of The Relationship Between Ship Activities and Port Pollution Using Automatic Identification System and EXplainable AI", Sep 2023, LOGMS2023, Busan, Korea

     17. Jeahoon Lee, Eunhee Park, Sunghyun Sim*, "Temporal Feature Representation Learning for Time-series Clustering with Variational Mode Decomposition", Aug 2023, ICICIC2023, Kumamoto, Japan

     18. Dohee Kim, Sangjea Lee, Sunghyun Sim, Hyerim Bae*, "A Robust Explainable Feature Selection Method Based on Order Statistics", Aug 2023, ICICIC2023, Kumamoto, Japan

     19. Sunghyun Sim*, Dohee Kim, Seok Chan Jeong, "Temporal Attention Gate Network with Temporal Decomposition for Improved Prediction Accuracy of Univariate Time-series Data", Feb 2023, ICAIIC2023, Bali, Indonesia

     20. Sunghyun Sim, Hyerim Bae*, Yulim Choi, "Likelihood-based Multiple Imputation by Event Chain Methodology for Repair of Imperfect Event Logs with Missing Data", Jun 2019, ICPM2019, Aachen, Germany

     21. Imam Mustafa Kamal, Hyerim Bae*, Sunghyun Sim, Hyemee Kim, Dohee Kim, Yulim Choi, Heesung Yun, "Forecasting High-dimensional Multivariate Regression of Baltic Dry Index (BDI) using Deep Neural Networks, Aug 2018, ICICIC2018, Lianyungang, China

     22. Hyeim Bae*, Sunghyun Sim, Yulim Choi, Ling Liu, "Statistical verification of process conformance  based on log equality test", Nov 2016, CIC2016, Atlanta, USA

     23. Sunghyun Sim, Yulim Choi, Hyerim Bae*, "Statistical Verification of Process Model Fitness in Process Mining", Aug 2016, ICICIC2016, Harbin, China

     24. Byeongjun Joo, Sunghyun Sim, Hyerim Bae*, "Utilization of Sequential Data for Machine Learning in Process Control", Nov 2015, BFSA2015, Kumamoto, Japan

Domestic Conference

• 1. 1. 이승우, 심성현*, "북극항로 운영을 위한 Multimodal-LLM 기반 해빙 농도 예측", 2025 춘계공동대한산업공학회, 2025.06, 제주

     2. 이재훈, 김남기, 심성현*, "ASTD 데이터를 활용한 북극해 해빙과 선박 활동의 인과성 분석", 2025 춘계공동대한산업공학회, 2025.06, 제주

     3. 김두현, 심성현*, "양자화 인식 훈련(QAT)와 반복적인 구조적 가지치기를 결합한 계층적 모델 경량화 기법", 2025 춘계공동대한산업공학회, 2025.06, 제주

     4. 이재훈, 심성현*, "해상 물류의 환경 및 안전 문제를 해결하기 위한 AI 기반 실시간 해상 물류 메타버스", 2024 추계대한산업공학회, 2024.10, 서울

     5. 김영휘, 심성현*, "북극해 교통량 데이터와 이차원 종속 트랜스포머 기반의 북극해의 장기 오염 예측 연구", 2024 추계대한산업공학회, 2024.10, 서울

     6. 조수현, 이가원, 허재현, 김도희, 박세길, 심성현, 배혜림*, "Grad-CAM을 활용한 선박 간 충돌위험에 대한 시공간적 분석 프레임워크",  2024 춘계공동대한산업공학회, 2024.05, 여수

     7. 허재현, 이가원, 조수현, 김도희, 박세길, 심성현, 배혜림*, "AIS(Automatic Identification System) 데이터의 품질 향상을 위한 양방향 딥러닝 기반 보간 모델 개발", 2024 춘계공동대한산업공학회, 2024.05, 여수

     8. 윤보리, 박세길, 배혜림, 심성현, "SentenceBERT 모델을 활용한 해양안전심판 재결서 분석 방법에 대한 연구", 2023 추계해양환경안전학회, 2023.11, 부산

     9. 심성현*, 윤보리, 박은희, 김병관, "Bi-LSTM 및 Quantization를 활용한 이벤트 데이터 압축 및 복원 방법론", 2023 춘계공동대한산업공학회, 2023.05, 제주

     10. 심성현*, 김도희, 배혜림, "독립변수들간의 상호관계 학습을 위한 CoRepNet", 2023 춘계공동대한산업공학회, 2023.05, 제주

     11. 이재훈, 김두현, 이승우, 김민희, 심성현*, "시계열 군집을 위한 시계열 표현학습", 2023 춘계공동대한산업공학회, 2023.05, 제주

     12. 심성현, 배혜림*, "Auto PM: Automatic Process Model Discovery and Analysis", 2022 추계대한산업공학회, 2022.11, 인천

     13. 심성현*, 강창완, "Neural Temporal-Filter Network: 시계열 예측 정확도 향상을 위한 신경망 구조", 2022 하계 한국자료분석학회 2022.07, 서울

     14. 심성현, 김도희, 배혜림*, "시계열 데이터의 예측 정확도 향상을 위한 상관순환유닛", 2022 춘계공동대한산업공학회, 2022.06, 제주

     15. 김혜미, 심성현, 배혜림*, 박재훈, 백용주 "월간 컨테이너 물동량 예측을 위한 TSG-Multi LSTM 방법론", 2019 춘계공동대한산업공학회, 2019.04, 광주

     16. 김혜미, 정례지, 김도희, 최유림, 심성현, 배혜림*, "최적 LSTM 모델 결정을 위한 표본 추출 기반 하이퍼 파라미터 튜닝 방법", 2018 추계대한산업공학회, 2018.11, 서울

     17. 김도희, 김혜미, 심성현, 최유림, 배혜림, 윤희성 "LSTM을 활용한 Bulk Dry Index 예측", 2018 춘계공동대한산업공학회, 2018.04, 경주