Ph.D. & Integrated course students

Eunsong Kang

Eunsong Kang

Integrated Course

2017.03 ~
Neuroimaging Data Analyisis, Machine Learning

Do-Yeon Kim

Do-Yeon Kim

Ph.D Course (Part-Time)

2019.09 ~
Machine Learning

Eunjin Jeon

Eunjin Jeon

Integrated Course

2018.03 ~
Brain-Computer Interface,
Deep Learning

Wonsik Jung

Wonsik Jung

Integrated Course

2018.03 ~
Deep Learning,
Brain Disease Diagnosis

Da-Woon Heo

Da-Woon Heo

Ph.D Course

2020.03 ~
Deep Learning,
Medical Image Analysis

Jee-Seok Yoon

Jee-Seok Yoon

Integrated Course

2018.09 ~
Deep Learning,
Biomedical Image Analysis

Junghyo Sohn

Junghyo Sohn

Integrated Course

2019.09 ~
Causal Representation Learning,
Diffusion Model

SeungWoo Jeong

SeungWoo Jeong

Integrated Course

2019.09 ~
Deep Learning,
Brain-Computer Interface

Sujeong Song

Sujeong Song

Ph.D Course

2021.09 ~
Deep Learning,
Disease Prediction

kwanseok_oh

KwanSeok Oh

Integrated Course

2020.03 ~
Deep Learning,
Explainable Artificial Intelligence

Han-Gwan Kim

Han-Gwan Kim

Ph.D Course (Part-Time)

2022.03 ~
Deep Learning,
Unmanned Aerial Vehicle

Junyeong Maeng

Junyeong Maeng

Integrated Course

2021.03 ~
Deep Learning,
Computer Vision

Wootaek Jeong

Wootaek Jeong

Integrated Course

2022.09 ~
Causal Representation Learning,
Probabilistic Model

Sangmin Jo

Sangmin Jo

Integrated Course

2023.03 ~
Machine Learning,
Brain-Computer Interface

Yeajin Shon

Yeajin Shon

Integrated Course

2023.03 ~
Machine Learning,
Brain-Computer Interface

Ha-Eun Kim

Ha-Eun Kim

2024.03~
Deep Learning,
Brain Disease Diagnosis

Master course students

Yooseung Shin

Yooseung Shin

Master Course

2022.03 ~
Computer Vision,
Deep Learning

Wooyeol Park

Wooyeol Park

Master Course

2022.09 ~
Machine Learning,
EHR Data Analysis

Jaehyun Jeon

Jaehyun Jeon

Master Course

2023.03 ~
Brain-Computer Interface,
Machine Learning

Hannah Yun

Hannah Yun

2024.03~
Deep Learning,
Multi-Modal Learning

Seunghee Yoo

Seunghee Yoo

2024.03~
Computer Vision,
Brain Disease Diagnosis

Research Intern