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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

Professor 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 and/or neuropsychiatric diseases from sMRI and/or fMRI using advanced machine learning algorithms including deep learning using deep neural networks.




Hyun-Chul Kim, Ph. D.

Research Professor
Institute of Brain and Cognitive Engineering, Korea University 
Anam-dong, Seongbuk-gu, Seoul, Republic of Korea




Dr. Kim completed the unified Master's and Doctor's course in the department of Brain and Cognitive Engineering, Korea University, Seoul, Korea, from March/2012 and Feb/2019 (Advisor: Jong-Hwan Lee, Ph. D.). He is now a research professor in the Institute of Brain and Cognitive Engineering, Korea University from Mar. 2019. He has done some works including (1) deep learning algorithm based emotion prediction using the whole brain fMRI data, (2) identification of functional features of mindfulness using triple networks (i.e., central executive network, default mode network, salience network) in real-time fMRI neurofeedback setting and (3) development of a recursive approach of principal component analysis (PCA) to EEG-segment to remove Helium-pump artifacts in simultaneous EEG-fMRI data. Currently, he is investigating on understanding the human brain of multimodal processing (i.e., image + text) via a deep learning technique using fMRI data and on demonstrating the efficacy of eye-tracking based 360° movie clips in a naturalistic viewing paradigm using fMRI data.

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 the 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).

 


Hanh Vu, M.S.

Ph. D. candidate
Department of Brain and Cognitive Engineering, 
Korea University
Gwangjin-gu, Seoul, Republic of Korea
Email: vuthihanh.bk@gmail.com




I graduated my undergraduate course at Hanoi University of Science & Technology (HUST) in Vietnam with a B.Eng in the major of Biomedical Engineering. After that, I participated in my Master course (Aug/2015 ~ Aug/2017) at Pohang University of Science and Technology (POSTECH) in Korea and received my M.Sc degree with the major of Bio-Engineering. I joined in the BSP lab from November 2017 as a Research Assistant. 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.

Unified Master's and Doctor's Course




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. As I have been interested in functional connectivity, 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. 



Changha Lee


Unified Master's and Doctor's Course
Department of Brain and Cognitive Engineering, Korea University
cheolsan-dong, Gwangmyoung, Republic of Korea
E-mail: ckdgk44@gmail.com



I graduated from the Department of Biomedical Engineering at Gachon University and joined at BSP laboratory in December/2018 as the Unified Master's and Doctor's course at Department of Brain and Cognitive Engineering, Korea University. I'm interested in developing algorithms to figure out how cognitive processes work by using fMRI data.

M.S. Candidates



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 joined 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.





Wangwon Lee

M.S. candidate
Department of Brain and Cognitive Engineering, Korea University
Anam-dong, Seongbuk-gu, Seoul, Republic of Korea
E-mail: bbchip13@gmail.com




I graduated from Seoil University and majored in computer electronic. I have joined the Brain Signal Processing Laboratory in January/2019. My research interest is audio signal processing with deep learning and computer engineering.

Researchers






Junho Yun
 
Researcher
Department of Brain and Cognitive Engineering, Korea University
Anam-dong, Seongbuk-gu, Seoul, Republic of Korea
E-mail: somsatang0416@gmail.com




I graduated from Suwon University in Hwaseong-si and majored Information Security. I worked as an asset system trader using machine-learning and back-end developer for 4 years. I joined the BSP laboratory in the January/2019. My research interest is to predict emotion using EEG, MRI. 



Minyoung Jung
 
Researcher
Department of Brain and Cognitive Engineering, Korea University
Anam-dong, Seongbuk-gu, Seoul, Republic of Korea
E-mail: jminyeong665@gmail.com




I attend Pusan National University and major in Psychology. I joined at the BSP laboratory in the February/2019.  My research interest is conducting a study on brain signal data with various machine learning algorithms, especially artificial neural networks like CNNs.




Sangsoo Jin
 
Researcher
Institute of Brain and Cognitive Engineering, Korea University
Anam-ro 145, Seongbuk-gu, Seoul, Republic of Korea
Email: swingwithblue@gmail.com



I graduated from Korea University and majored in Computer Science and Brain and Cognitive Engineering. I joined the BSP laboratory in the March/2019. My research interest is analyzing behavioral responses from participants on a cognitive task and linking behavioral patterns to certain brain regions.




Hye-Song An

Researcher
Institute of Brain and Cognitive Engineering, Korea University
Eunpyeong-gu, Seoul, Republic of Korea
Email:
anh73583@gmail.com




I graduated from Soongsil University and majored in Electronic Engineering. I joined the BSP laboratory in the April/2019. My research interest is observing brain damage and studying methods for brain damage recovery.



Research Assistants

Seok-Hyun Seo (Winter/2018- )
Department of Statistics, Korea University

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

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


Interns




Alumni 

Graduate Students
Hyun-Chul Kim, Ph. D., March/2012 - Feb/2019
Currently at the BSPL as a Research Professor, 
Institute of Brain and Cognitive Engineering, Korea University

Junghoe Kim, Ph. D., March/2011 - Feb/2016
Currently at the Samsung Electronics, Inc. 

Wanjoo Park, Ph. D., March/2012 - Aug/2016
Currently Post-Doctoral Associate at Engineering Division, NYU Abu Dhabi

Dong-Youl Kim, M.S. Sep/2009 - Aug/2011 
Currently at BSPL as a Ph.D. candidate 

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 

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

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

Han-Gil Lee, M.S. Feb/2012
Completed MS course

Eun Kyung Jung, M.A. Feb/2015
Completed Ph.D. course

Dawoon Heo, M.S. Feb/2018
A researcher at KIST 

Minkyung Oh
Finished Master's program

Jinsu Kim
Currently at the Job market

Research Assistants

Inuk Song, M.S. (Apr. 2019 - Jun. 2019)
Currently at the Job market

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 BSP lab, 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)