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General Information
| Full Name | Hyeokjin kwon |
| Languages | Korean (native), English |
Education
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2019-2024 Ph.D. in Electronic Engineering
Hanyang University, Seoul, South Korea - Supervisor Jong-Min Lee, PhD
- Thesis Deep graph neural network-based sulcal pattern analyses in human brain surfaces, Hanyang University
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2013-2019 B.S. in Biomedical Engineering
Hanyang University, Seoul, South Korea
Professional Experience
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11.2024-now Research Fellow
Boston Children's Hospital, and Harvard Medical School, Boston, MA, United States -
02.2023-08.2023 Visiting Scholar
Boston Children's Hospital, and Harvard Medical School, Boston, MA, United States
Research Interests
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Medical Image Analysis
- Structural MRI (T1w, T2w, Diffusion-weighted, etc)
- Functional MRI
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Graph Neural Networks (GNNs)
- Predictive model ({Heterogeneous, Simplicial, Hypergraph}-neural networks)
- Explainable GNN (Prototype-based models, posthoc analysis, etc)
- Multiplex/temporal graphs
- Generative AI (Graph Transformer, Graph Diffusion, etc)
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Cortical Sulcal Pattern Analysis
- Quantitative analysis using AI (like GNN)
- Congenital Heart Disease (CHD), Autism Spectrum Disorder (ASD), etc
Honors and Awards
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07.2021-06.2022 Student-led Interdisciplinary Research Program
Hanyang University Institute of Artificial Intelligence, Seoul, Korea - Received an award of 1,200k KRW [~$800] to support AI-related interdisciplinary research.
Patents
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12.2024 - (Korea, published) Method and device for analyzing human brain networks (KR 10-27420640000)
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12.2024 - (PCT, filed) Self-supervised framework using higher-order heuristic distillation for visual representation learning (PCT/KR2024/096956)
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3.2024 - (Korea, filed) Self-supervised framework using higher-order heuristic distillation for visual representation learning (KR 10-2024-0032115)
Professional Meetings
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Abstract, Poster Presentations
- Kwon H, Son S, Lee JM (2022) Sparse hierarchical learning on brain networks for prediction of ASD severity. Annual Meeting of the Organization for Human Brain Mapping, Glasgow, Scotland
- Kwon H, Yoo HS, Kim KH, Lee JM (2023) Altered structural connectivity of self-awareness of cognitive deficits in Parkinson’s disease. Annual Meeting of the Organization for Human Brain Mapping, Montreal, Canada
- Kwon H, Morton S, Rivkin M, Wypij D, Robertson R, Newburger JW, Grant PE, Lee JM, Im K (2023) Identification of atypical sulcal patterns using prototype-based graph learning on subjects with congenital heart dissease. Massachusetts Institute of Technology & Mass General Brigham AI Cures Conference, Boston, MA, USA
- Kwon H, Im K, Lee JM (2024) Identification of atypical sulcal patterns using prototype-based graph learning on congenital heart disease. Annual Meeting of the Organization for Human Brain Mapping, Seoul, Korea
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Oral Presentations
- Graph-based Prototype Inverse Projection for Identifying Cortical Sulcal Pattern Abnormalities on Congenital Heart Disease (2023) Korean Society for Human Brain Mapping, South Korea