2025
Children mind voyager
-Development of an Early Screening Service Platform for Autism Spectrum Disorder Using Precision Severity Classification Technology
(KR)아이마음탐사대-정밀 중증도 분류 기술을 활용한 ASD 조기선별 서비스 플랫폼 개발
Hyundai Insurance Multi ModalMedical Dataset
2025-present
ROLE :
-Development and validation of multi-modal deep learning models to distinguish ASD and TD
-Development and validation of multi-modal deep learning models to distinguish mild ASD and severe ASD (2025).
Children mind voyager
-Development of an Early Screening Service Platform for Autism Spectrum Disorder Using Precision Severity Classification Technology
(KR)아이마음탐사대-정밀 중증도 분류 기술을 활용한 ASD 조기선별 서비스 플랫폼 개발
Hyundai Insurance Multi ModalMedical Dataset
2025-present
ROLE :
-Development and validation of multi-modal deep learning models to distinguish ASD and TD
-Development and validation of multi-modal deep learning models to distinguish mild ASD and severe ASD (2025).
2024
K-MELLODDY
(Korea Machine Learning Ledger Orchestration for Drug Discovery)
(KR)연합학습 기반 신약개발 플랫폼 구축
Ministry of Science, ICT and Future Planning(MSIT) & Ministry of Health and Welfare Federated Learning
2024-present
ROLE :
- Development and validation of federated learning algorithms to alleviate Fl-oriented problems
- 2025 : Data heterogeneity
K-MELLODDY
(Korea Machine Learning Ledger Orchestration for Drug Discovery)
(KR)연합학습 기반 신약개발 플랫폼 구축
Ministry of Science, ICT and Future Planning(MSIT) & Ministry of Health and Welfare Federated Learning
2024-present
ROLE :
- Development and validation of federated learning algorithms to alleviate Fl-oriented problems
- 2025 : Data heterogeneity
2023
Development and Implementation of a Distributed Network–Based Federated Learning Support System for Healthcare Data
(KR)분산 네트워크 기반 의료 특화 데이터 연합학습을 활용한 지원시스템 개발 및 실증
Ministry of Trade, Industry and Resources (MOTIE) Medical DatasetFederated Learning
2023-2024(END)
ROLE :
-Development of federated learning framework with PyTorch and Django
-Development of deep learning model for prognosis prediction with colorectal cancer
-We developed FL model with 5 different medical hospitals and centers: National Cancer Center, Severance Hospital, Samsung Medical Center, JeonnBuk National University Hospital, and Gil hospital.
-Development of CDSS report system
This project led to 1 paper (2024 iScience) and 1 patent (C-2024-048020)
Development and Implementation of a Distributed Network–Based Federated Learning Support System for Healthcare Data
(KR)분산 네트워크 기반 의료 특화 데이터 연합학습을 활용한 지원시스템 개발 및 실증
Ministry of Trade, Industry and Resources (MOTIE) Medical DatasetFederated Learning
2023-2024(END)
ROLE :
-Development of federated learning framework with PyTorch and Django
-Development of deep learning model for prognosis prediction with colorectal cancer
-We developed FL model with 5 different medical hospitals and centers: National Cancer Center, Severance Hospital, Samsung Medical Center, JeonnBuk National University Hospital, and Gil hospital.
-Development of CDSS report system
This project led to 1 paper (2024 iScience) and 1 patent (C-2024-048020)
2022
Artificial Intelligence Learning Data Construction Project
- Adolescent and Children Retina Data
(KR) 소아청소년 정신질환 진단 안저 이미지 데이터
Ministry of Science, ICT and Future Planning(MSIT) Medical Dataset
2022-2022(END)
ROLE :
-Data quality control
-Four types of DL model development for discriminating ASD & TD and ADHD & TD
This project led to 2 papers (2023 JAMA Net. Open, 2025 npj Digital Medicine)
Artificial Intelligence Learning Data Construction Project
- Adolescent and Children Retina Data
(KR) 소아청소년 정신질환 진단 안저 이미지 데이터
Ministry of Science, ICT and Future Planning(MSIT) Medical Dataset
2022-2022(END)
ROLE :
-Data quality control
-Four types of DL model development for discriminating ASD & TD and ADHD & TD
This project led to 2 papers (2023 JAMA Net. Open, 2025 npj Digital Medicine)
Artificial Intelligence Learning Data Construction Project
Construction of Infant Behavior Video Data
(KR) 영유아 행동 영상 데이터
Ministry of Science, ICT and Future Planning(MSIT) Medical Dataset
2022-2022(END)
ROLE :
-Data quality control
-Baseline model development
This project led to 1 paper (2024 JMIR formative research)
Artificial Intelligence Learning Data Construction Project
Construction of Infant Behavior Video Data
(KR) 영유아 행동 영상 데이터
Ministry of Science, ICT and Future Planning(MSIT) Medical Dataset
2022-2022(END)
ROLE :
-Data quality control
-Baseline model development
This project led to 1 paper (2024 JMIR formative research)