- Graph Neural Network
- Network Analysis
- Machine Learning & Deep Learning (especially with neuroimages)
- M.S. in Department of Artificial Intelligence, Kyung Hee University, 2022.09 - 2024.08.
- B.E. in Department of Industrial & Management Systems Engineering, Kyung Hee University, 2017.03 - 2022.08.
- B.E. in Department of Software Convergence, Kyung Hee University, 2017.03 - 2022.08.
- M.S. Student at AIMS (Artificial Intelligence in Medicine and Science) Lab, Kyung Hee University, 2022.09 - 2024.08.
- Undergraduate Researcher at AIMS (Artificial Intelligence in Medicine and Science) Lab, Kyung Hee University, 2021.11 - 2022.08.
- Undergraduate Researcher at HCD (Human-Centered Design) Lab, Kyung Hee University, 2019.03 - 2019.08.
- Chae Woo Lee, Hye Won Park, Won Hee Lee, "Schizophrenia Classification Using Graph Attention Network With Morphometric Similarity Networks", Proceedings of the Korea Computer Congress (KCC), 2024.
${\textsf{\color{brown}Encouragement Award}}$ - Eunju Ji, Hye Won Park, Won Hee Lee, "Development of a Multimodal Emotion Recognition Model Using Voice and Text Data", Proceedings of the Korea Computer Congress (KCC), 2024.
- Hye Won Park, Won Hee Lee, "Multimodal connectivity-based graph transformer networks and its application to sex classification (abstract)", Organization for Human Brain Mapping Annual Conference (OHBM), 2024.
- Hye Won Park, Won Hee Lee, "Multimodal Brain Connectivity Based Graph Transformer Networks and Its Application to Sex Classification", Proceedings of the Korea Software Congress (KSC), 2023.
- Junhyeok Lee, Hyejeong Jo, Hye Won Park, Minjae Kim, Yeonwoo Kim, Tae-Seong Kim, Won Hee Lee, "A Multimodal Interactive Dashboard for User Experience Evaluation", International Conference on Computer Science and its Applications (CSA), 2023.
- Hyejeong Jo, Junhyeok Lee, Hye Won Park, Minjae Kim, Yeonwoo Kim, Won Hee Lee, "Developing an Integrated Dashboard to Analyze Multimodal Data for User Experience Evaluation", International Conference on Consumer Electronics Asia (ICCE-Asia), 2023.
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Hye Won Park, Seo Yeong Kim, Won Hee Lee, "Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification", Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
${\textsf{\color{brown}Early Acceptance}}$ - Hye Won Park, Won Hee Lee, "Schizophrenia Classification Using Graph Convolutional Network with Morphometric Similarity Networks.", Proceedings of the Korea Software Congress (KSC), 2022.
- Dong Gu Kim, Hye Won Park, Won Hee Lee, "Development of Interactive Dashboard for Graph-based Psychopathological Symptom Network Analysis.", Proceedings of the Korea Software Congress (KSC), 2021.
${\textsf{\color{brown}Encouragement Award}}$ -
Hye Won Park, Sung Kyu Kim, Jinhyeok Jang, Eun Young Kim, Se Hyun Kim, Won Hee Lee, "Network Analysis of Psychopathology Symptoms in Patients with Schizophrenia: Focusing on Personal and Social Performance Scale and Subjective Well-being under Neuroleptic Scale.", Proceedings of the Korea Software Congress (KSC), 2021.
${\textsf{\color{brown}Excellence Award}}$
- Vaily, an Eco-friendly All-in-one Platform (2021.04 - 2023.04.)
- Flutter App Developer
- Developed product crawling algorithm to collect eco-friendly products.
- Implemented app features: User authentication, eco-product presentation, review community, search, and liking.
- Launched on iOS and Android.
- Multimodal User Experience Evaluation Analysis Tool (C-2023-053985)
- Multimodal Data Analysis based Interactive Dashboard for User Experience Evaluation (C-2023-044704)
- Network Analysis and Visualization Tool Program Using Psychopathological Symptom Assesment Score (C-2023-043674)
- Graph Convolution Network based Schizophrenia Diagnostic Program Using a Morphometric Similarity Network (C-2023-043673)
- Interactive Dashboard for Network Analysis and Visualization of Psychopathological Symptom Assessment Score (C-2022-049822)
- Big Data Analysis Engineer, 2022.12.
- SQL Developer (SQLD), 2021.09.
- Advanced Data Analytics Semi-Professional (ADsP), 2020.08.
- Presentation at the 2024 AI SEOUL conference held in Seoul, Korea
- Presentation at the 2023 International Conference on Biological and Medical Sciences held in Chengdu, China
- 2023 LG Aimers Finalists (AI Online Hackathon Top 8%)