Hello, I’m Dong-Hee

👋 About Me

Hello, I'm Dong-Hee Shin, a Ph.D. student in Artificial Intelligence at Korea University, advised by Prof. Tae-Eui Kam. My main research interests are in molecular discovery, particularly in new drug discovery and novel material design. On the AI side, I focus on reinforcement learning and optimization algorithms to support scientific innovation.

📚 Selected Publications

• Offline Model-based Optimization for Real-World Molecular Discovery
  Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam
  International Conference on Machine Learning (ICML), 2025
  Acceptance rate 26.9% | 3,260 of 12,107 submissions (excluding desk-rejected papers)
• Population-based Evolutionary Search for Joint Hyperparameter and Architecture Optimization in Brain-Computer Interface
  Dong-Hee Shin, Deok-Joong Lee, Ji-Wung Han, Young-Han Son, Tae-Eui Kam
  Expert Systems with Applications (ESWA), 2025
  JCR Top 5.2% (IF: 7.5)
• Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization
  Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Ji-Wung Han, Tae-Eui Kam
  International Joint Conference on Artificial Intelligence (IJCAI), 2024
  Lead oral presentation (12 min) | Top 2.2% (128 of 5,651 submissions)
• Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis
  Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam
  IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024
  JCR Top 5.7% (IF: 6.7)
• FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations
  Young-Han Son, Dong-Hee Shin, Tae-Eui Kam
  IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024
  JCR Top 5.7% (IF: 6.7)
• MARS: multiagent reinforcement learning for spatial—spectral and temporal feature selection in EEG-based BCI
  Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae-Eui Kam
  IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC), 2024
  JCR Top 5.4% (IF: 8.6)

🏆 Awards & Honors

• Ph.D. Fellowship Awardee, National Research Foundation of Korea (2024)
  Description: awarded new research project funding through a government-supported doctoral research grant administered by the National Research Foundation of Korea (NRF)
• Korea University Research Challenger Program: RCP (2022)
  Description: selected for interdisciplinary research funding as part of Korea University’s RCP initiative to support collaborative and innovative graduate research projects
• Graduate Research Fellowship (BK21 FOUR), National Research Foundation of Korea (2021)
  Description: awarded competitive graduate research fellowship under the BK21 FOUR program, funded by the NRF to support advanced academic training through structured research

🏫 Teaching & Mentoring

• Introduction to Generative Model – Instructor, Feb 2023
  Tech University of Korea
• Introduction to Artificial Intelligence – Tutor, 2021, 2022, 2023
  LG CNS
• Reinforcement Learning – Teaching Assistant, Fall 2022
  Korea University

🎤 Talks & Presentations

• Designing Selective Drugs for Mitigating Off-Target Effects
  ICEIC, 2025 – Osaka, Japan
• Dynamic Many-Objective Molecular Optimization
  IJCAI, 2024 – Jeju, Korea
• Progressive Optimization for Molecular Discovery
  ICLR Workshop on Generative and Experimental Perspectives for Biomolecular Design, 2024 – Vienna, Austria
• Reinforcement Learning for Brain-Computer Interface
  International Winter Conference on Brain-Computer Interface, 2022 – Gangwon, Korea