My longstanding research interests have been in the investigation of hidden information underlying sensory signals and development of efficient methods for accurate analysis of this information. My recent research has focused on the application of the artificial neural networks and/or machine learning algorithms to the neuroimaging data, such as structural MRI (sMRI), functional MRI (fMRI), and electroencephalography (EEG). In our lab, we have been working on the studies/projects such as (i) a novel application of independent vector analysis and (ii) an iterative approach of dual-regression with sparse constraints on spatial patterns of neuronal activations applying to group fMRI data processing, (iii) automated classification of thought processes measured via fMRI data, (iv) analysis of simultaneous EEG-fMRI methods and their applications to sleep-onset/epileptic-foci detection and to denoising of cryogenic pump artifact of MRI scanner, (v) real-time fMRI based neurofeedback, (vi) nicotine addiction research via neuroimaging, and (vii) an early diagnosis of neurodegenerative and/or neuropsychiatric diseases from multimodal neuroimaging using advanced methods such as deep learning/machine learning and representational similarity analysis.


PhD Candidates


My previous researches were (1) to examine the feasibility of modulating brain activation via real-time fMRI neurofeedback on heavy smokers and (2) to characterize the variability of BOLD fMRI signals for optimizing the application of hypothesis-based (e.g. general linear model) or data-driven approaches (e.g. independent component analysis). The current interest-of-researches are (1) to investigate where the brain are activated during decision-making process depending on the reasoning orders and (2) to estimate the neural plasticity from stroke patients before and after rehabilitation training with a help of real-time fMRI neurofeedback.


My interest in research is developing new analysis methods based on the interdisciplinary studies of brain signal processing and the cognitive processes, especially applying Machine learning algorithms and Deep learning techniques to the EEG and fMRI data analysis.


Integrated MS-PhD Candidates

One of my research aims is to discover individual distinctiveness in dynamic functional connectivity. I am also investigating how information (e.g., text/language) is processed in the brain. Mostly, I utilize deep learning and machine learning techniques for the analysis. 


I'm interested in developing algorithms to figure out how cognitive processes work by using fMRI data.



My research interest is to help patients of mental disorders such as depression and schizophrenia by utilizing deep learning.


My researcher interest is neuroplasticity algorithms for brain diseases (stroke) with fmri.


My research interest is image signal processing with deep-learning and neuroplasticity algorithms for brain diseases with fMRI.


I am interested in Emotion processing with deep-learning and neuroplasticity algorithms for brain diseases with fMRI.


I am interested in enhancing human cognitive abilities and neuroplasticity algorithms for brain diseases with fMRI. 
For that, I want to predict the stroke and enhance human cognitive by using machine learning and deeplearning on brain functional data.


MS Candidates

My research interest is audio signal processing with deep learning and computer engineering.


I'm interested in the relevance between brain and computational model expecting complementary insight on both domains. Mostly, I investigate visual information processing and utilize Deep Neural Networks(DNNs), especially CNNs, for the analysis.



I am interested in Audio signal processing and Emotion processing with fMRI-EEG.

Graduate Researchers

I am interested in observing the brain when vaping the E-cigarette through real-time fMRI. Through this study, I want to know brain regions responding to nicotine and how they are affected by nicotine.


My main research interest is enhancing human cognitive abilities and developing brain-machine interface technology. For that, I aim to further explore cognitive processes by using machine learning and big data algorithms on brain functional data.

Lab Manager


Undergraduate and Graduate Research Assistants

SeungA Kim (Winter/2018- )
Department of Chemistry, Korea University

Sung-Jun Lee (Winter/2018- )
Department of Architecture, Korea University

JunDong Hwang (July/2020 - )
School of Life Sciences, Korea University

Alumni 

Graduate Students
Niv Lustig, M. S., Aug/2020
Currently Researcher, at the Institute of Brain Science and Engineering, Korea University

Sungman Jo, M. S., Aug/2020
Currently Researcher, at the Institute of Brain Science and Engineering, Korea University

Hyun-Chul Kim, Ph. D., Feb/2019
Research Fellow, Brigham and Women's Hospital, Harvard Medical School, Boston

Dawoon Heo, M.S. Feb/2018
Researcher at KIST 

Wanjoo Park, Ph. D., Aug/2016
Currently Post-Doctoral Associate at Engineering Division, NYU Abu Dhabi

Hojin Jang, M.S. Aug/2016
Currently Ph.D. candidate at Vanderbilt University  

Suji Kim, M.S. Aug/2016
Currently working at a start-up 

Junghoe Kim, Ph. D., Feb/2016
Currently at the Samsung Electronics, Inc. 

Hojung Kang, M.S. Aug/2013
Currently at the Korea Institute of Brain Science 

Yong-Hwan Kim, M.S. Feb/2012
Currently at the ASAN Medical Center 

Dong-Youl Kim, M.S. Aug/2011 
Currently at BSPL as a Ph.D. candidate 

Eun Kyung Jung, M.A.
Completed Ph.D. coursework

Han-Gil Lee
Completed MS coursework

Minkyung Oh
Completed MS coursework

Jinsu Kim
Currently at the Job market


Research Assistants
Naewoo Shin (June/2019-April/2020)

Hye-In Gu (Sep/2019-Feb/2020 )
Department of Statistics, Korea University

Jae-Ryong So (Sep/2019- Nov/2019)
Devision of Industrial Management Engineering, College of Engineering, Korea University

Soo-Jong Kim, M.S.(Jul. 2019 - Sep. 2019)

Junho Yun, B.A(Jan. 2019 - Sep. 2019)

Sangsoo Jin, B.A. (March/2018 - June/2019)
Currently at the military service

Seok-Hyun Seo (January/2019- May/2019)
Department of Statistics, Korea University

Hye-Song An, B.A. (April/2019 - July/2019)
Currently at the Job market

Inuk Song, M.S. (Apr. 2019 - Jun. 2019)
Currently preparing a Ph.D. program

Gyuhyun Kim (Jan. 2019 - Feb. 2019)
Currently at Mokwon University

Jaehun Shim (Nov. 2017 - Nov. 2018)
Currently at the College of Liberal Arts, Korea University

Jungwoon Yang (Nov. 2017 - Aug. 2018)
Currently at Graduate School of Education, Korea University

Sunwoo Nam (Nov. 2017 - Feb. 2018)
Currently at Graduate School of Medicine

Hanh Vu, M.S. (Dec. 2017 - Aug. 2018)
Bio-Engineering, Pohang University of Science and Technology (POSTECH) 
Currently a Ph. D. candidate at the BSPL, Department of Brain and Cognitive Engineering, Korea University

Jérémy Julien (Fall/2015)
VR & Health R&D Engineer Intern Sssilor, France

Taewoon Kim (Summer/2014) 
School of Electrical & Electronic Engineering, Yonsei Univ.
Currently at Dept of Information and Communication Systems, TUHH, Hamburg, Germany

Yujin Jang (Fall/2013)
College of Liberal arts, Korea Univ.
Currently at Dept. of Psychology, Korea University

Do-Ran Hwang (Fall/2013)
College of Liberal arts, Korea Univ.
Currently at Law School, Seoul National University

Kyoung-Ran Chi (Fall/2013)
College of Science, Korea Univ.

Aram Kim (Fall/2013)
College of Information and Technology, Korea Univ.

JaeHeon Jeong (Fall/2011 - Fall/2012)
College of Information and Technology, Korea Univ.

MinJoong Kim (Fall/2011)
College of Information and Technology, Korea Univ.

Ji-Hye Jang (Winter/2010 - Spring/2011)
College of Information and Technology, Korea Univ.
Currently a Ph.D. candidate at TU München, München

Jin-Sung Lee (Spring/2011)
College of Information and Technology, Korea Univ.

Su-Hyun Ha (Spring/2010 - Winter/2010)
College of Information and Technology, Korea Univ.
Currently at KAIST

Hyuk-Soo Shin (Fall/2010)
College of Information and Technology, Korea Univ.
Currently at CIC, Korea University

Jongmin Lee (Fall/2010)
College of Information and Technology, Korea Univ.
Currently at CIC, Korea University 

Heon Lee (Fall/2010)
College of Information and Technology, Korea Univ. 

Seongmin Kim (July/2015-Aug/2015)

Deuk-Won Seo (Feb/2015-Mar/2015)

Nam-Jun Kim (Sep/2014-Dec/2014)
Chang-Ju Yoon (Mar/2012-Aug/2012)
Kangmin Lee (Feb/2013-Mar/2013)