직위 또는 학위 : 조교수
Tel : 044-860-1355
E-mail : cheolhan@korea.ac.kr
연구분야 : 인공지능, 뇌영상분석, 네트워크분석, 전산뇌과학
Basic Information
부교수, 이학박사 (Associate Professor, PhD in Computer Science)
전자및정보공학과 (Department of Electronics and Information Technology)
고려대학교 세종캠퍼스 과학기술대학
연구분야: 인공지능, 뇌영상분석, 네트워크분석, 전산뇌과학
데이터가공센터 (Data Refinery Center) 센터장
link1 : SANDBOX SEJONG
link2 : 고려대 세종 데이터가공센터(DRC), 4차산업혁명 데이터가공전문가 교육 진행
Contact Information
세종특별자치시 조치원읍 세종로 2511, 30019, 대한민국
제1과학기술동 (9동) 314E호
9-314E, Sejong-ro 2511, Sejong City, Republic of Korea, 30019
Phone : +82-44-860-1355
E-mail : cheolhan@korea.ac.kr
EDUCATION | ||
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Jan 2005 ~ Dec 2009 | Ph.D. | University of Southern California, Los Angeles, CA, U.S.A. Doctor of Philosophy in Computer Science |
Aug 2003 ~ May 2005 | M.S. | University of Southern California, Los Angeles, CA, U.S.A. Master of Science in Computer Science |
Mar 1998 ~ Feb 2002 | B.S. | Seoul National University, Seoul, Republic of Korea Bachelor degree in Electrical Engineering |
PROFESSIONAL EXPERIENCE | |
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Sep 2018 ~ | Associate Professor Department of Electronics and Information Technology, Korea University, Sejong, Republic of Korea |
Mar 2016 ~ Aug 2018 | Assistant Professor Department of Electronics and Information Technology, Korea University, Sejong, Republic of Korea |
Mar 2015 ~ Feb 2016 | Research Professor(advisor: Joon-Kyung Seong Ph.D) Institute of Global Health Technology, Korea University, Seoul, Republic of Korea |
Mar 2013 ~ Feb 2015 | Research Professor (advisor: Joon-Kyung Seong Ph.D) Institute of Health Science, Korea University, Seoul, Republic of Korea |
Jan 2013 ~ Feb 2016 | Postdoctoral Researcher (advisor: Joon-Kyung Seong Ph.D) Biomedical Engineering, Korea University, Seoul, Republic of Korea |
Apr 2010 ~ Dec 2012 | Postdoctoral Researcher (WCU program, advisor: Marcus Kaiser Ph.D) Brain and Cognitive Science, Seoul National University, Seoul, Republic of Korea |
PEER-REVIEWED PUBLICATIONS (IF and rank based on JCR2013)
1. WJ Lee†, CE Han†, I Aganj, SW Seo*, JK Seong*, 2018, Distinct patterns of rich club organization in Alzheimer’s disease and subcortical vascular dementia: a white matter network study, Journal of Alzheimer’s disease, 63(3), 977-987 (5-year IF=4.37, †: first authors, *: corresponding authors).
2. K Kim, SW Kim, W Myung, CE Han, M Fava, D Mischoulon, GI Papakostas, SW Seo, H Cho, JK Seong*, HJ Jeon*, 2017, Reduced orbitofrontal-thalamic functional connectivity related to suicidal ideation in patients with major depressive disorder, Scientific Reports 7, Article #15772, (*: corresponding authors, 5-year IF=5.078, #5/55 in Multidisciplinary sciences)
3. JY Park†, HK Na†, S Kim, H Kim, HJ Kim, SW Seo, DL Na, CE Han*, JK Seong*, and Alzheimer’s Disease Neuroimaging Initiative, 2017, Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns, Scientific Reports 7, Article #43270 (†: first authors, *: corresponding authors, 5-year IF=5.078, #5/55 in Multidisciplinary sciences)
4. HJ Kim, JH Shin, CE Han, HJ Kim, DL Na, SW Seo*, JK Seong*, and the ADNI, 2016, Using Individualized Brain Network for Analyzing Structural Covariance of the Cerebral Cortex in Alzheimer's Patients, Frontiers in Neuroscience 10:394 (IF 2015=3.398)
5. S Edwin Thanarajah†, CE Han†, A Rotarska-Jagiela, W Singer, R Deichmann, K Maurer, M Kaiser*, PJ Uhlhaas*, 2016, Abnormal Connectional Fingerprint in Schizophrenia: A Novel Network Analysis of Diffusion Tensor Imaging Data, Frontiers in Psychiatry 7:114(SCOPUS,SJR=1.919, CitesperDoc.(2y)(~IF)=4.06, †: first authors, *: corresponding authors)
6. W Myung †, CE Han†, M Fava, D Mischoulon, GI Papakostas, JY Heo, K Kim, ST Kim, DK Kim, SW Seo, JK Seong*, HJ Jeon*, 2016, Reduced fronto-subcortical white matter connectivity in association with suicidal ideation in major depressive disorder, Translational Psychiatry, 6(6): e835 (5-year IF=5.68, †: first authors, *: corresponding authors)
7. NY Jung†, CE Han†, HJ Kim, SW Yoo, HJ Kim, EJ Kim, DL Na, SN Lockhart, WJ Jagust, JK Seong*, SW Seo*, 2016, Tract-specific Correlates of Neuropsychological Deficits in Patients with Subcortical Vascular Cognitive Impairment, Journal of Alzheimer's Disease, 50(4), 1125-1135 (5-year IF=4.37, †: first authors, *: corresponding authors)
8. F Hutchings, CE Han, B Weber, PN Taylor, M Kaiser, 2015, Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations,PLOSCB,11(12):e1004642(5-year IF=5.670, #3/52 in Mathematical & computational biology)
9. Y-P Lo, R O'Dea, J Crofts, CE Han, M Kaiser, 2015, A geometric network model of intrinsic grey-matter connectivity of the human brain, Scientific Reports 5, Article #15397 (5-year IF=5.078, #5/55 in Multidisciplinary sciences)
10. P Taylor†, CE Han†, JC Schoene-Bake, B Weber, M Kaiser, 2015, Structural connectivity changes in temporal lobe epilepsy: Spatial features contribute more than topological measures, Neuroimage: Clinical, 8: 322-328 (†: first authors, online available since Feb 20, 2015)
11. SW Yoo, CE Han, SY Shin, SW Seo, DL Na, Y Jeong, JK Seong, 2015, A Network Flow-based Analysis of Cognitive Reserve in Normal Ageing and Alzheimer's Disease, Scientific Reports 5, Article #10057 (5-year IF=5.078, #5/55 in Multidisciplinary sciences)
12. CE Han, LR Peraza, JP Taylor, M Kaiser, 2014, Predicting Age across Human Lifespan Based on Structural Connectivity from Diffusion Tensor Imaging, Proceedings of BIOCAS2014 (IEEE), 137-140
13. D Klein, E Genc, A Rotarska-Jagiela, S Sritharan, H Mohr, F Roux, CE Han, M Kaiser, W Singer, PJ Uhlhaas, 2014, Adolescent Brain Maturation and Cortical Folding: Evidence for Reductions in Gyrification, PLoS One 9(1): e84914 (5-year IF=4.015, #8/55 in Multidisciplinary sciences)
14. S Lim, CE Han*, PJ Uhlhaas*, M Kaiser*, 2013, Preferential Detachment During Human Brain Development: Age- and Sex-Specific Structural Connectivity in Diffusion Tensor Imaging (DTI) Data, Cerebral Cortex, 25(6): 1477-89 (*shared senior authorship, 5-year IF=8.372, #16/252 in Neuroscience, online available since Dec.15,2013)
15. CEHan, SW Yoo, SW Seo, DL Na, JK Seong, 2013, Cluster-based statistics for brain connectivity in correlation with behavioral measures, PLoS One 8(8): e72332 (5-year IF=4.015, #8/55 in Multidisciplinary sciences)
16. CE Han†, S Kim†, S Chen, YH Lai, JY Lee, J Lee, R Osu, CJ Winstein, N Schweighofer, 2013, Quantifying Arm Non-use in Individuals Post-stroke, Neurorehabilitation and Neural Repair, 27(5):439-47 († both are the first authors, 5-year IF=5.159, #1/62 in rehabilitation)
17. Y Hidaka, CE Han, SL Wolf, CJ Winstein, N Schweighofer, 2012, Use it and improve it or lose it: Interactions between arm function and use in human post-stroke, PLOS Comput Biol, 8(2): e1002343 (5-year IF=5.670, #3/52 in Mathematical & computational biology)
18. C Echtermeyer, CE Han, A Rotarska-Jagiela, H Mohr, PJ Uhlhaas, M Kaiser, 2011, Integrating temporal and spatial scales: Human structural network motifs across age and region-of-interest size, Frontiers in Neuroinformatics,5:10. (SCOPUS, SJR=1.885, Cites per Doc. (2y) (~IF)=3.29)
19. IT Tokuda, CE Han, K Aihara, M Kawato, N Schweighofer, 2010, The role of Chaotic Resonance in Cerebellar Learning, Neural Networks, 23(7):836-42. (5-year IF=2.516)
20. R Gentili, CEHan, N Schweighofer, C Papaxanthis, 2010, Motor Learning without Doing: trial-by-trial improvement in motor performance during mental training, Journal of Neurophysiology, 104(2):774-83. (*all authors contributed equally. 5-year IF=3.446)
21. N Schweighofer, CE Han, S Wolf, MA. Arbib, C Winstein, 2009, A functional threshold for long-term use of hand and arm function can be determined: Predictions from a computational model and supporting data from the Extremity Constraint-Induced Therapy Evaluation (EXCITE) Trial, Physical Therapy, 89(12):1327-36. (5-year IF=3.896, #2/62 in rehabilitation, #4/67 in Orthopedics)
22. CE Han, MA Arbib, N Schweighofer, 2008, Stroke rehabilitation reaches a threshold, PLoS Comput Biol 4(8): e1000133 (selected as a featured research of the month, 5-year IF=5.670, #3/52 in Mathematical & computational biology)
23. CE Han, Y Okamoto, SC Tanaka, S Yamawaki, K Doya, 2006, Humans can adopt optimal discounting strategy under real-time constraints, N Schweighofer, K Shishida, PLoS Comput Biol 10;2(11):e152 (5-year IF=5.670, #3/52 in Mathematical & computational biology).
PATENT | |
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Apr 16, 2013 | US patent #US8419661 B2: Upper Limb Measurement and Rehabilitation Method and System, Nicolas Schweighofer, Younggeun Choi, Cheol Han, James Gordon, Carolee J Winstein, Reiko Osu |
RESEARCH INTEREST
Artificial Intelligence
- Geometric Deep-Learning
Network analysis of human brain networks
Neuroimaging
- Extracting biomarkers of neurological disorders from multi-modal neuroimages
Computational Modeling of Neural Systems
- motor control, population coding, stroke rehabilitation
Statistical Analysis
- Permutation testing
- Pairwise comparison
Developing rehabilitative devices and therapeutic U-health
RESEARCH SUPPORT | |
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May 1, 2014 ~ Apr 30, 2017 | 네트워크 분석방법론을 이용한 치매환자 유형분석방법 개발 (2014R1A1A1008173, PI), 기초과학지원프로그램 (신진연구, 연구재단, 미래창조과학부) |
Nov 1, 2016 ~ Oct 31, 2019 | 뇌네트워크의 네트워크모티프 검출을 위한 딥러닝 모델 개발 (2016R1D1A1B03934990, PI), 기초과학지원프로그램 (개인기초연구, 연구재단, 교육부) |
Dec 1, 2016 ~ Aug 31, 2019 | 1인칭 시점에서 대화상대 주변의 다양한 정보 학습기반 종합상황 판단 기술 (R7124-16-0004, PI, 위탁과제) 자율지능 디지털 동반자 (Autonomous Digital Companion) 기술 연구 (3세부) 사용자의 의도와 맥락을 이해하는 지능형 인터랙션 기술 연구개발 (PI, 경북대 IT대학 이민호 교수님) 미래부 지능정보기술 플래그쉽 프로젝트 산하 |
Nov 1, 2017 ~ Oct 31, 2018 | 세종 데이터가공센터(DRC) 설립과 운영을 통한 데이터가공산업 정착연구 고려대학교 세종퓨쳐리서치그랜트(KU sFRG, 고려대학교) |
July 1, 2018 ~ Aug 31, 2018 | 4차산업혁명 데이터가공전문가 양성 프로그램 2018 대학평생교육 활성화지원사업 (세종특별자치시인재육성교육진흥원) |
학부과정
EIEN160 프로그래밍언어및실습 (2학기)
EIEN233 데이터구조 (1학기)
EIEN215 공업수학1 (1학기)
EIEN216 공업수학2 (2학기)
EIEN341 인공지능개론 (2학기)
EIEN443 인공신경망과 딥러닝 (1학기)
대학원과정
EIEN501 응용수학1 (1학기)
EIEN671 패턴인식 (2학기)
EIEN754 의료영상처리 (2학기)
EIEn786 기계학습 (2학기)
석박통합과정
김대겸 (2017-09-01~)
석사과정
최명원 (2018-03-01~)
이필섭 (2018-03-01~)
학부연구생
김명석 (2017-09-01~)
임송빈 (2018-07-01~)
손원준 (2018-08-01~)
이전 학부연구생
이경민
양인원
성호진
정병창
고승형