- M.S. in
Brain & Cognitive Engineering
,Korea University
,(2022-2024)
- B.S. in
Biomedical Engineering
(BME),Yonsei University
,(2016-2022)
- Disease detection, classification, and segmentation using medical imaging data such as X-ray, CT, and MRI
- Multimodal, trustworthy, and continual artificial intelligence for clinical decision support
- Enhancing interpretability and reliability in diagnosis through Explainable AI (XAI)
(2022-2024)
AR-based SSVEP real-time prediction for integrated wheelchair-robotic arm control(2023)
Classification of MDD and normal individuals based on EEG features(2023)
Pipeline for comparing EEG differences before and after VNS(2022)
EEG functional connectivity-based biomarker for diagnosing depression and normal individuals
- Jun-Su Park, Donghyeok Jo, Seho Lee, Young-Tak Kim, Jung Bin Kim & Dong-Joo Kim. "Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression." 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE, 2022.
- Hayom Kim, In-Nea Wang, Jun-Su Park, Keun-Tae Kim, Jooheon Kong, Jung Bin Kim & Dong-Joo Kim. "Inherent seizure susceptibility in patients with antihistamine-induced acute symptomatic seizure: a resting-state EEG analysis." Scientific Reports 13.1 (2023): 9146.