Heung-Il Suk  Ph.D.

Associate Professor

Department of Brain and Cognitive Engineering, Korea University

617A, Science Library, Korea University
145 Anam-Ro, Seongbuk-Gu, Seoul 02841, Korea

E-mail: hisuk AT Korea DOT ac DOT kr
Tel: (82)-2-3290-5930, Fax: (82)-2-3290-5930

RESEARCH INTERESTS 


Machine Learning
Brain Disease Diagnosis/Prognosis
Medical Image Analysis
Brain-Computer Interfaces

 

WORK EXPIERIENCES


2018.09 – Current
Associate Professor, Department of Brain and Cognitive Engineering, Korea University, Korea

2015.03 – 2018.08
Assistant Professor, Department of Brain and Cognitive Engineering, Korea University, Korea

2014.09 – 2015.02
Research Professor, BK21 Plus Center for Brain and Cognitive Engineering, Korea University, Korea

2012.09 – 2014.08
Postdoctoral Research Associate, Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, USA

PROFESSIONAL SERVICES


2019, Area Chair, 2019 International Conference on Medical Image Computing and Computer-Aided Intervection (MICCAI) (Shenzhen, China)
2019, Co-organizer, 10th International Workshop on Machine Learning in Medical Imaging (MLMI) (Shenzhen, China)
2019 – Current, Editorial Board, International Journal of Imaging Systems and Technology (IJIST)
2018, Publication Chair, 7th 2019 IEEE International Winter Workshop on Brain-Computer Interface (High1 Resort, Korea)
2018, Co-organizer, 9th International Workshop on Machine Learning in Medical Imaging (MLMI) (Granda, Spain)
2018, Program Committee, 2018 International Conference on Learning Representations (ICLR)
2017 – Current, Governing Board Member, Brain Engineering Society of Korea
2017, Co-organizer, 8th International Workshop on Machine Learning in Medical Imaging (MLMI) (Quebec, Canada)
2017, Program Committee, 31st Conference on Neural Information Processing Systems (NIPS)
2017, Publication Chair, 6th 2018 IEEE International Winter Workshop on Brain-Computer Interface (High1 Resort, Korea)
2017 – Current, Governing Board Member, Korean Artificial Intelligence Association
2016 – Current, Editorial Board, Biomedical Research and Clinical Practice (BRCP)
2016, Local Arrangements Chair, 5th 2017 IEEE International Winter Workshop on Brain-Computer Interface (High1 Resort, Korea)
2016, Co-organizer, 7th International Workshop on Machine Learning in Medical Imaging (MLMI) (Athens, Greece)
2016, Program Committee, 30th Conference on Neural Information Processing Systems (NIPS)
2015, Local Arrangements Chair, 4th 2016 IEEE International Winter Workshop on Brain-Computer Interface (Yongpyong, Korea)
2015 – 2017, Governing Board Member, Korean Brain Education Association
2015, Organizing Committee, 2015 Computer Vision and Pattern Recognition Workshop (Sookmyung University, Korea)
2015 – 2017, Governing Board Member, Artificial Intelligence Society in Korean Institute of Information Scientists and Engineering
2015, Co-organizer, Tutorials: Deep Learning for Medical Imaging, MICCAI 2015 (Munich, Germany)
2015 Program Committee, 29th Conference on Neural Information Processing Systems (NIPS)
2015, Program Committee, 6th International Workshop on Machine Learning in Medical Imaging (MLMI) (Munich, Germany)
2014, Program Committee, 3rd 2015 IEEE International Winter Workshop on Brain-Computer Interface (Jeongseon, Korea)
2014, Program Committee, 5th International Workshop on Machine Learning in Medical Imaging (MLMI) (Boston, USA)
2013, Program Committee, 2013 IEEE International Winter Workshop on Brain-Computer Interface (Jeongseon, Korea)
2012 – Current, IEEE, Member
2008 – 2012, IEEE, Student Member

HONORS / AWARDS


2018, Kakao Faculty Fellowship, Kakao
2017, Best Paper Award, 2017 Korea Computer Congress
2016, Best Presentation Award, 2016 KIISE Winter Workshop
2016, Best Paper Award, 2016 Korean Institute of Next Generation Computing Spring Workshop
2015, Outstanding Course Award (Introduction to Brain and Medical Engineering, BNCS313), Korea University

INVITED TALK / TUTORIALS


2019.2.13
“Machine Learning Basics,” 2019 인공지능 동계 단기강좌, (사)한국인공지능학회
2018.12.21
“Human Brain Hacking with ML,” Future AI 심포지움, 한국지능시스템학회
2018.12.20
“Predictive Model for Neuroimaging-based Brain Disease Diagnosis,” 2018년 인공지능의료기술개발 특성화사업단 심포지엄, 전남대학교 의과대학
2018.11.10
“Deep Models for Brain Image Analysis,” 30th Conference of the Society for Medical Innovation and Technology – International Biomedical Engineering Conference 2018 (SMIT2018-IBEC2018 Joint Conference), Korea
2018.11.02
“Generative Adversarial Learning in Neuroimaging,” 2018 대한뇌기능매핑학회 추계학술대회, 서울대학교
2018.10.31
“Predictive Modeling to Neuroimaging Data,” POSTECH 컴퓨터공학과
2018.10.16
“Primer on Deep Learning and Its Application for BCIs,” 금오공과대학교
2018.08.18
“딥러닝 기반 NeuroImaging 데이터 분석 (이론 및 실습),” 2018 대한뇌기능매핑학회 여름학교, 하이원리조트
2018.07.04
“Recent Trends in Deep-Learning based Biomedical Data Analysis,” Med-Tea 포럼, 이화여자대학교
2018.05.31
“Machine Intelligence for Brain Imaging Data Analysis,” GIST 의생명공학과
2018.04.23
“Data-driven Approaches in Medical Intelligence,” 2018 한국보건정보통계학회 춘계학술대회: 빅데이터 패러다임에서의 자료분석 및 재현성, 서울대학교 의과대학
2018.02.23
“Deep Learning in Radiology – Recent Advances and Trends,” 2018 IEEE NPSS Seoul, 핵의학영상및기기연구회, 한국방사선산업학회 공동심포지움, 서울대학교 의과대학
2018.02.06
“Data-Driven Predictive Modeling to Neuroimaging: Principles, Pitfalls, and Perspectives,” 한국계산뇌과학회 겨울학교, 대전컨벤션센터
2017.12.20
“Decoding-based Approaches for Brain Disorder Diagnosis/Prognosis,” 인공지능 빅데이터 의학 심포지엄: Healthcare 3.0과 신경계질환, 연세대학교 원주의과대학
2017.12.06
“Understanding and Exploring Machine Learning,” DGIST 로봇공학전공
2017.12.01
“Deep Machine Learner in Radiology,” 카카오
2017.11.09
“Deep Learning for Object Detection,” SK AI Course, SK New ICT Academy
2017.11.03
“Functional Connectivity Estimation with Machine Learning,” 대한뇌기능매핑학회 2017년도 추계학술대회, 이화여자대학교
2017.10.28
“Reading Brain Images with Deep Models for Early Alzheimer’s Disease Diagnosis,” 제35회 미래정보기술산업전망, 벡스코
2017.08.30
“Connectionism and Bayesianism in Machine Learning,” 20th Annual Meeting of Korean Society for Brain and Neural Science, Grand Hilton Convention Center
2017.07.28
“Deep Medical Image Reading,” 한국원자력의학원 원자력병원 방사선의학임상연구부
2017.07.20
“Machine Intelligence in Brain Imaging,” 경북대학교 뇌과학연구소
2017.07.17
“뇌질환 진단과 관련된 기계학습의 응용 사례,” 인공지능(AI) 의료진단/예측/치료 최신 분석과 적용사례 및 도입 전략 세미나, 산업교육연구소
2017.07.13
“Applications of Deep Learning in Medical Image Analysis,” 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2017.07.07
“Medical Intelligence: Imaging-based Diagnosis,” 2017 뇌와 인공지능 하계 워크샵, 한국뇌공학회
2017.06.30
“Hierarchical Feature Representations and Multimodal Fusion with Deep Learning,” 한양대학교
2017.06.15
“Machine Learning for Predictive Imaging-Biomarker Discovery,” 고려대학교 학제간연구회
2017.06.02
“딥러닝 기반의 공간-주파수-시간 특성 추출 및 의도 인식 성능 향상 기술 개발,” 2017 뇌-컴퓨터 인터페이스 기술 워크샵, 사우스케이프
2017.03.13
“Hacking the Brain: Machine Learner’s Approach,” Brain Imaging Meeting, 고려대학교 의과대학
2017.02.20
“Variational (Bayesian) Inference: Basic Theory and Applications,” 11회 패턴인식 및 기계학습 겨울학교, 고려대학교
2017.02.11
“Machine Learning for Predictive Imaging-Biomarker Discovery,” Neuroscience Forum on Alzheimer’s Disease: Discovery of Predictive Biomarkers for AD, Jeju Island
2017.02.10
“뇌 데이터사이언스(Brain Data + Machine Learning + Data Mining),” 한국뇌캠프, 서울대학교
2017.01.20
“Spatio-Temporal-Spectral Filter Learning in EEG-based BCI,” 한국정보과학회 뇌-컴퓨터 인터페이스 연구회 창립 기념 심포지움, 고려대학교
2016.12.21
“Sparse Regression and Deep Learning in Medical Image Analysis,” 제43회 한국정보과학회 동계학술대회 – 머신러닝 워크샵
2016.10.06
“AI for Brain Research with Neuroimaging,” 고려대학교 안암병원 융합뇌신경연구센터 창립 1주년 기념 심포지움
2016.09.20
“Connectionist’s Perspective for AI and Applications for Analyzing Brain Images,” 제8회 연세의과대학생 학술제, 에비슨의생명연구센터
2016.08.25
“뇌구조/뇌기능 영상 분석을 위한 딥러닝 기술 소개,” 제2회 바이오영상신호처리 여름학교 – 바이오의료영상 딥러닝, 한국과학기술회관
2016.08.18
“Introduction to Neural Networks and Deep Learning,” 제10회 패턴인식 및 기계학습 여름학교 – Bayesian Deep Learning, 고려대학교
2016.08.11
“Structural/Functional Brain Image Analysis with Deep Learning,” 한국과학기술정보연구원 (KISTI)
2016.07.28
“Deep Learning for Healthcare Applications,” 한국전자통신연구원 (ETRI)
2016.07.14
“Introduction to Deep Learning and Its Application for Brain Image Analysis,” 가톨릭대학교 의료정보학교실
2016.07.09
“Deep Learning for Brain Image Understanding,” 인포메디텍
2016.06.30
“뇌질환 진단 및 예측을 위한 딥러닝 기술 응용,” 2016 한국컴퓨터종합학술대회 -인공지능특별세션
2016.06.16
“기계학습 기반의 뇌질환 진단 및 예측과 활용 방안,” 인공지능(AI)과 가상현실(VR)을 이용한 첨단 미래 의료기술 활용방안 세미나, 한국미래기술교육연구원
2016.05.27
“Machine Learning for Understanding Brain Images,” 2016 Avison Biomedical Symposium, Yonsei University, Korea
2016.03.18
“Deep Learning Techniques for Neuroimaging-based AD Diagnosis/Prognosis,” 한국과학기술정보원 (KISTI)
2016.03.12
“함께하는 뇌와 인공지능,” 2016 세계뇌주간, 고려대학교 (부제: 뇌연구, 궁금해요)
2016.01.25
“Machine Learning Applications for Neuroimaging-based Brain Disorder Diagnosis,” 2016소프트웨어 컨버전스 심포지움, 한국과학기술회관
2016.01.20
“Basics of Numerical Optimization for Pattern Recognition and Machine Learning,” 10회 패턴인식 및 기계학습 겨울학교, 고려대학교
2015.12.23
“과학과 공학, 뇌에서 만나다,” 국립과천과학기술관 진로탐구 프로그램, 국립과천과학기술관
2015.12.18
“Advanced Machine Learning Techniques for Neuroimaging-based AD Diagnosis,” 한국정보과학회 동계학술대회, 강원도
2015.12.02
“Convergence is NOT Divergence,” 부경대학교
2015.10.05
“Introduction to Neural Networks and Deep Learning,” Tutorials: Deep Learning for Medical Imaging in Medical Image Computing and Computer-Assisted Intervention (MICCAI), Munich, Germany
2015.07.20
“Basics of MRI/fMRI and Their Applications with Machine Learning,” 6회 뇌공학단기강좌:뇌신호처리와 응용, 고려대학교
2015.06.24
“Neuroimaging-based Brain Disorder Diagnosis with Machine Learning,” Smart Health:
IoT, Wearable, ICT Technology Fusion Workshop (한국컴퓨터종합학술대회), 제주도
2014.10.13
“Neuroimaging-based Alzheimer’s Disease Diagnosis with Deep Learning,” 뇌공학과 콜로퀴엄,고려대학교

 

PEER REVIEW


Proceedings of the IEEE
NeuroImage
Human Brain Mapping
IEEE Transactions on Medical Imaging
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Pattern Recognition Journal
PLoS One
Biomedical Engineering Letters
Biomedical Signal Processing & Control
Computerized Medical Imaging & Graphics
Expert Systems with Applications
International Journal of Imaging Systems and Technology
International Journal of Machine Learning and Cybernetics
Medical & Biological Engineering & Computing
Neurocomputing
Signal, Image and Video Processing
International Conference on Neural Information Processing Systems (NIPS)
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
International Workshop shop on Machine Learning in Medical Imaging (MLMI)