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Faculty

Jong-Hwan Lee, Ph.D

Associate Professor
Principal investigator (PI), Brain Signal Processing Lab
Department of Brain and Cognitive Engineering, Korea University
Anam-dong, Seongbuk-gu, Seoul, Republic of Korea
E-mail: jonghwan_lee at korea dot ac dot kr; jhlee.jonghwanlee at gmail dot com
Phone: +82-2-3290-5922

Dr. Jong-Hwan Lee received his M.S. and Ph.D. degrees in Electrical Engineering and Computer Science from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2000 and 2005, respectively. He was a research fellow from 2005 to 2008 at the Brigham and Women’s Hospital, Harvard Medical School, Boston, MA and then promoted to an instructor in 2008. Since fall 2009, he has been a faculty member at the Department of Brain and Cognitive Engineering, Korea University and currently an Associate Professor. His 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. His 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). He has 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) smoking cigarette addiction research via neuroimaging intervention, and (vii) an early diagnosis of neurodegenerative/neuropsychiatric diseases from sMRI and/or fMRI using advanced machine learning algorithms such as deep learning.

Ph.D Candidates


Dong-Youl Kim
, M.S. 

Ph.D candidate
Department of Brain and Cognitive Engineering, Korea University
Anam-dong, Seongbuk-gu, Seoul, Republic of Korea

From Aug/2011 (~current), I'm the Ph.D. candidate in Department of Brain and Cognitive Engineering, Korea University. During master course (Aug/2009~Aug/2011), I tried to acclimatize about what are the available options to investigate the functions of the brain toward applications potentially to modulate and utilize the brain functions, especially in resting-state fMRI. The current main researches are (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).


Hojung Kang
, M.S. 

Ph.D candidate
Department of Brain and Cognitive Engineering, Korea University 
Jegi-dong, Dongdaemon-gu, Seoul, Republic of Korea

 
 

I majored in Biomedical Engineering of the undergraduate course at Yonsei University and I jointed at BSP lab from March/2011 as a master course student of Department of Brain and Cognitive Engineering, Korea University. My research interest is the identification of brain network for the cognitive process, especially speech perception. In fact, investigation of brain connectivity (i.e. functional connectivity or FC) is one of the major topics for functional magnetic resonance image (fMRI) study. However, there are limited studies to investigate a role of FC during the cognitive process. Thus, my current research topics are the identification of the role of FC in speech perception and investigation of brain network tightly linked with speech performance. This study will be utilized to neurofeedback using real-time fMRI to enhance the function of the brain. 

Unified Master's and Doctor's Course
 

Hyun-Chul Kim

Unified Master's and Doctor's Course
Department of Brain and Cognitive Engineering, Korea University 
Anam-dong, Seongbuk-gu, Seoul, Republic of Korea


 

I graduated from the Department of Information and Communication at Myong Ji University and joined at BSP lab from March/2012 as the Unified Master's and Doctor's course at Dept. of Brain and Cognitive Engineering, Korea University. My research interests are to process brain signals measured from EEG or fMRI and to reveal a comprehensive map of neural connections in the brain, called as the connectome. My current research focuses on developing signal processing algorithms for simultaneous EEG/fMRI study to enhance EEG signal quality contaminated by MR gradient, ballistocardiogram, and mechanical vibrations.


Dawoon Heo

Unified Master's and Doctor's Course
Department of Brain and Cognitive Engineering, Korea University 
Umyeon-Dong, Seocho-gu, Seoul, Republic of Korea
E-mail: heodawoon0@gmail.com

 


I graduated from the department of computer information science of Korea University. I joined at BSP laboratory in 2015/January. My research interest is to investigate the mechanism of brain where is related to addiction, also the brain disease, such as Alzheimer, using functional magnetic resonance imaging (fMRI).


Ju-hyeon Lee



Unified Master's and Doctor's Course
Department of Brain and Cognitive Engineering, Korea University
Anam-dong, Seongbuk-gu, Seoul, Republic of Korea
E-mail: jh0104lee@gmail.com



I majored in Electronic engineering for the undergraduate course in Kyungpook Nat'l University and joined BSPL in Jan/2017. My fields of interest are to figure out the mechanism how the brain works and eventually develop Brain-Computer Interface, BCI. In order to deal with brain data, I will process data with taking advantage of Deep learning techniques.


MS Candidates
 
 

Minkyung Oh
 
Unified Master's and Doctor's Course
Department of Brain and Cognitive Engineering, Korea University
Bono-dong, Sangrok-gu, Ansan, Republic of Korea
 
 
 

I graduated the Konkuk University and majored the Biomedical Engineering. I have joined the brain signal processing lab from March/2013 as the Unified Master's and Doctor's Course at Dept. of Brain and Cognitive Engineering, Korea University. I am interested in how the brain affects our behavior and also how the behavior affects to our brain using the real-time functional magnetic resonance imaging(rtfMRI). My current research is to reveal the relationship between neural activation and autonomic responses under the stress-evoked situation.



Sungman Jo
 
M.S. candidate
Department of Brain and Cognitive Engineering, Korea University
Anam-dong, Seongbuk-gu, Seoul, Republic of Korea
E-mail: josman893@gmail.com




I majored in Electronic Engineering of the undergraduate course at Pusan National University and I jointed at BSP lab from September/2016 as a master course student of Department of Brain and Cognitive Engineering, Korea University. 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.


Niv Lustig
 
M.S. candidate
Department of Brain and Cognitive Engineering, Korea University
Mapo-gu, Seoul, Republic of Korea
E-mail: nivlustig@gmail.com


I graduated from Tel-Aviv University in Israel with a B.Sc in psychology and computer science with an emphasis on neuroscience. I jointed the BSP laboratory in the fall/2017 semester as a Master's student. 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.

Alumni
Graduate Students
Junghoe Kim, Ph.D 
Currently at the Samsung Advanced Institute of Technology 

Wanjoo Park, Ph.D
Currently at the Korea Institute of Science and Technology 

Dong-Youl Kim, M.S. 
Currently at BSPL as Ph.D. candidate 

Hojung Kang, M.S.
Currently at BSPL as Ph.D. candidate 

Yong-Hwan Kim, M.S.
Currently at ASAN Medical Center 

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

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

Han-Gil Lee, M.S.
Completed MS course

Eun Kyung Jung, M.A.
Completed PhD course


Research Assistants
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 at 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)