Seonghyun Park
Scholar

Seonghyun Park

Google Scholar ID: w4q4N9sAAAAJ
PhD student, KAIST AI
Machine learning collective variablesMolecular dynamics simulationGraph neural networks
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Citations & Impact
All-time
Citations
22
 
H-index
3
 
i10-index
0
 
Publications
5
 
Co-authors
11
list available
Contact
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Publications
5 items
DA-Flow: Degradation-Aware Optical Flow Estimation with Diffusion Models
2026
Cited
0
Riemannian MeanFlow
2026
Cited
0
INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery
2026
Cited
0
Learning Collective Variables from Time-lagged Generation
2025
Cited
0
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
2024
Cited
1
Resume (English only)
Research Experience
  • 2025 - Present: KAIST AI, PhD student
  • 2023 - 2025: POSTECH, M.S.
  • Spring 2022: INSA Lyon, Exchange student
  • Summer 2021: Bagelcode, Business Analyst Intern, BA Team
  • Summer 2020: Sellerhub, Product Manager Intern
Background
  • PhD student at KAIST Kim Jaechul Graduate School of AI, advised by Sungsoo Ahn. Research interests include Machine Learning Collective Variables, Molecular Dynamics (MD) simulation, Graph neural networks (GNNs), and Over-squashing.
Miscellany
  • Thanks to Martin Saveski for this awesome website template!
Co-authors
11 total
Sungsoo Ahn
Sungsoo Ahn
KAIST
Kiyoung Seong
Kiyoung Seong
M.Sc. student, KAIST
Woo Youn Kim
Woo Youn Kim
Professor of Chemistry and Graduate School of Data Science, KAIST
Hyosoon Jang
Hyosoon Jang
Ph.D. student KAIST
Sangwoo Mo
Sangwoo Mo
Assistant Professor, POSTECH
Seonghwan Kim
Seonghwan Kim
Dept. Chemistry, KAIST
Co-author 7
Co-author 7
Se Young Yun
Se Young Yun
KAIST