CV
Basics
| Name | Dohee Kim |
| Label | Assistant Professor |
| kimdohee@changwon.ac.kr | |
| Url | https://AIDoheeKim.github.io |
| Summary | Assistant Professor at Changwon National University. |
Work
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2025.12 - Present 창원, 대한민국
Assistant Professor
Changwon National University
Department of Artificial Intelligence Convergence Engineering
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2024.10 - 2025.11 부산, 대한민국
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2024.09 - 2024.12 Atlanta, GA, USA
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2024.03 - 2024.09 부산, 대한민국
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2024.03 - 2024.09 부산, 대한민국
Education
Awards
- 2025.07.01
Certificate of Commendation from the Mayor of Busan
Busan Metropolitan City
Recognition from the Mayor of Busan for outstanding contributions.
- 2024.01.01
BK21's Best Paper Award
Pusan National University
2023 BK21's Graduate Student Outstanding Papers Award.
Publications
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2026.01.01 Deep learning framework for regional maritime collision risk assessment using CNN and Grad-CAM
Ocean Engineering
A regional collision risk assessment framework integrating AIS-derived traffic representations, CNNs, and explainable AI (Grad-CAM). JCR Q1, Top 3.08%.
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2025.01.01 Long-term forecasting of maritime economics index using time-series decomposition and two-stage attention
Journal of Forecasting
A hybrid framework for long-term prediction of container volume and Baltic Panamax Index using time-series decomposition and attention mechanisms. JCR Q1, Top 16.17%.
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2023.09.26 Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Proposed a new neural architecture (CRU) that performs time-series decomposition within a neural cell and learns correlations between decomposition components. JCR Q1, Top 0.85%.
Interests
| Time Series Forecasting | ||||||
| Long-term Prediction | ||||||
| Time Series Decomposition | ||||||
| Attention Mechanism | ||||||
| LSTM | ||||||
| Correlation Recurrent Unit | ||||||
| Maritime & Logistics | ||||||
| Container Volume Prediction | ||||||
| Baltic Dry Index | ||||||
| Ship Fuel Consumption | ||||||
| Maritime Collision Risk | ||||||
| Vessel Trajectory Prediction | ||||||
| Process Mining | |||||
| Predictive Process Monitoring | |||||
| Anomaly Detection | |||||
| Business Process Management | |||||
| Continual Learning | |||||
| Optimization & Operations Research | |||||
| Scheduling | |||||
| Resource Allocation | |||||
| Simulated Annealing | |||||
| Inter-terminal Truck Routing | |||||
| Explainable AI & Feature Selection | |||||
| SHAP | |||||
| Grad-CAM | |||||
| Feature Importance | |||||
| Interpretable Machine Learning | |||||
Volunteer
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2025.01 - 2025.01 Session Chair
ICICIC2025
Session: Sustainable Maritime Logistics: Innovations for Safety, Efficiency, and Clean Port
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2024.01 - Present Editorial Board Member
JUTI: Jurnal Ilmiah Teknologi Informasi, ITS, Indonesia
Scientific Journal of Information Technology.
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2024.01 - 2024.01 Session Chair
ICICIC2024
Session: Sustainable Maritime Logistics: Innovations for Safety, Efficiency, and Clean Port
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2023.01 - Present Peer Reviewer
IEEE Transactions on Big Data, Pattern Recognition, Scientific Reports, etc.
Peer reviewer for multiple academic journals.
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2023.01 - 2023.01 Committee (Main Assistant)
LOGMS 2023 (The 11th International Conference on Logistics and Maritime Systems)
Organizing committee member for international conference on logistics and maritime systems.