Cheol E. Han (한철)
Research Professor
College of Biomedical Engineering,
Institute of Global Health Technology,
Korea University,
Hana Science Hall B, Room #453
Seoul, Republic of Korea
Tel: +82-10-2748-3545
E-mail: cheolhan at gmail.com

Curriculum Vitae (Oct 15, 2015)

Google Scholar Profile
Researchgate Profile

last updated: May 26, 2015
Research Interests
  • Computational Modeling of Neural Systems (motor control, population coding, stroke rehabilitation)
  • Network analysis of human brain networks
  • Permutation testing
  • Extracting biomarkers of neurological disorders from multi-modal neuroimages
  • Developing rehabilitative devices and therapeutic U-health
  • Research
    Mar 2015 ~ present
    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 2013
    Posctoctoral fellow (advisor: Joon-Kyung Seong, Ph.D)
    Biomedical Engineering, Korea University, Seoul, Republic of Korea
    Apr 2010 ~ Dec 2012
    Postdoctoral Fellow (advisor: Marcus Kaiser, Ph.D)
    Brain and Cognitive Science (WCU program), Seoul National University,
    Seoul, Republic of Korea
    Jan 2005 ~ Jul 2009
    (NIH P20 till Jul 2007)
    Research Assistant
    (advisor: Michael Arbib, Ph.D . & Nicolas Schweighofer, Ph.D )
    Computer Science, University of Southern California, Los Angeles, U.S.A.
    Jan 2004 ~ Dec 2004
    Direct Research (advisor: Michael Arbib, Ph.D )
    Computer Science, University of Southern California, Los Angeles, U.S.A.
    Jan 2002 ~ Jul 2002
    Internship (advisor: Byoungtak Zhang, Ph.D. )
    Computer Science, Seoul National University,
    Seoul, Republic of Korea
    Education
    Jan 2005 ~ Dec 2009
    Doctor of Philosophy in Computer Science
    (advisor: Michael Arbib, Ph.D )
    Computer Science, University of Southern California, Los Angeles, U.S.A.
    Dissertation: Modeling Human Reaching and Grasping: Cortex, Rehabilitation and Lateralization [download]
    Aug 2003 ~ May 2005
    Master of Science in Computer Science
    Computer Science, University of Southern California, Los Angeles, U.S.A.
    Mar 1998 ~ Feb 2002
    Bachelor degree in Electrical Engineering
    Electrical Engineering, Seoul National University,
    Seoul, Republic of Korea
    Teaching
    Sep 2015 ~
    Instructor: Biomedical Imaging II (teaching in English)
    Department of Biomedical Engineering, Korea University, Seoul, Republic of Korea
    Instructor: Biomedical Image Processing (teaching in English)
    College of Biomedical Engineering, Korea University, Seoul, Republic of Korea
    Mar 2013 ~
    Instructor: Medical Imaging systems for dentistry (Spring semesters)
    Dental Laboratory Science and Engineering, Korea University, Seoul, Republic of Korea
    Excellence in Teaching Award in 2014.
    Students' Evaluation: 2013, 5.65/6 (University average: 4.89); 2014, 5.41/6 (4.91)
    Apr 2010 ~ June 2012
    Teaching Assistant: Computational Neuroscience and Neuroinformatics (Spring semesters)
    Brain and Cognitive Science, Seoul National University, Seoul, Republic of Korea
    Aug 2007 ~ May 2009
    Teaching Assistant: Machine Learning (Fall semesters) &
    Foundation of Artificial Intelligence (Spring semesters)
    Computer Science, University of Southern California, Los Angeles, U.S.A.
    Grants
    May 2014 ~ Apr 2017
    Developing comparison methods of dementia types using network analysis techniques (2014R1A1A1008173, Role: Principal Investigator)
    Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Korea government: the Ministry of Science, ICT & Future Planning (MSIP, 신진연구)
    Patents
    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 [link]
    Publications
  • 15. A geometric network model of intrinsic grey-matter connectivity of the human brain, Y-P Lo, R O'Dea, J Crofts, CE Han, and Marcus Kaiser, 2015, Scientific Reports (In Press, 5-year IF=5.078, #5/55 in Multidisciplinary sciences)
  • 14. Structural connectivity changes in temporal lobe epilepsy: Spatial features contribute more than topological measures (2015), P Taylor†, CE Han†, JC Schoene-Bake, B Weber, M Kaiser, Neuroimage: Clinical 8: 322-328 (†: first authors, published in May 20, 2015, online available since Feb 20, 2015) [download]
  • 13. A Network Flow-based Analysis of Cognitive Reserve in Normal Ageing and Alzheimer's Disease (2015), SW Yoo, CE Han, SY Shin, SW Seo, DL Na, Y Jeong, JK Seong, Nature Scientific Reports 5, Article #10057 (published in May 20, 2015) [download]
  • 12.Predicting Age across Human Lifespan Based on Structural Connectivity from Diffusion Tensor Imaging (2014), CE Han, LR Peraza, JP Taylor, M Kaiser, Proceedings of BIOCAS2014 (IEEE) 137-140 [download]
  • 11. Adolescent Brain Maturation and Cortical Folding: Evidence for Reductions in Gyrification (2014), D Klein, E Genc, A Rotarska-Jagiela, S Sritharan, H Mohr, F Roux, CE Han, M Kaiser, W Singer, PJ Uhlhaas, PLoS One 9(1): e84914 [free download]
  • 10. Preferential Detachment During Human Brain Development: Age- and Sex-Specific Structural Connectivity in Diffusion Tensor Imaging (DTI) Data (2015), S Lim, CE Han*, PJ Uhlhaas*, M Kaiser*, Cerebral Cortex25(6): 1477-89 (* shared senior authorship, online avaiable since Dec 15, 2013) [free download] [The Daily Telegraph] [Daily Mail] [TIME (blog)] [Bioscience Technology] [World Science] [Science 2.0] [Business Standard] [Newstrack India] [Jersey Evening Post]
  • 9. Cluster-based statistics for brain connectivity in correlation with behavioral measures (2013), CE Han, SW Yoo, SW Seo, DL Na, JK Seong, PLoS One 8(8): e72332 [free download]
  • 8. Quantifying Arm Non-use in Individuals Post-stroke (2013), CE Han*, S Kim*, S Chen, YH Lai, JY Lee, J Lee, R Osu, CJ Winstein, N Schweighofer, Neurorehabilitation and Neural Repair, 27(5):439-47 (* both are the first authors, #1 in Rehabilitation journals.) [PubMed]
  • 7. Use it and improve it or lose it: Interactions between arm function and use in human post-stroke (2012), Y Hidaka, CE Han, SL Wolf, CJ Winstein, N Schweighofer, PLOS Comput Biol, 8(2): e1002343 [free download]
  • 6. Integrating temporal and spatial scales: Human structural network motifs across age and region-of-interest size (2011), C Echtermeyer, CE Han, A Rotarska-Jagiela, H Mohr, PJ Uhlhaas, M Kaiser, Frontiers in Neuroinformatics, 5:10 [free download]
  • 5. The role of Chaotic Resonance in Cerebellar Learning (2010), IT Tokuda, CE Han, K Aihara, M Kawato, N Schweighofer, Neural Networks, 23(7):836-42 [PubMed]
  • 4. Motor Learning without Doing: trial-by-trial improvement in motor performance during mental training (2010), R Gentili, CE Han, N Schweihofer, C Papaxanthis, Journal of Neurophysiology,104(2):774-83 (* all authors contributed equally.) [free download]
  • 3. 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 (2009), N Schweighofer, CE Han, S Wolf, MA. Arbib, C Winstein, Physical Therapy, 89(12):1327-36 (#2 journal in Rehabiliation journals) [free download]
  • 2. Stroke rehabilitation reaches a threshold (2008), CE Han, MA Arbib, N Schweighofer, PLoS Comput Biol., 4(8): e1000133 (selected as a featured research of the month, #2 in Mathematical & Computational Biology) [free download]
  • 1. Humans can adopt optimal discounting strategy under real-time constraints (2006), N Schweighofer, K Shishida, CE Han, Y Okamoto, SC Tanaka, S Yamawaki, K Doya, PLoS Comput Biol. 10;2(11):e152. [free download]
  • Softwares
  • Permutation test for projection patterns: (related paper: Abnormal Projection Patterns in Schizophrenia: A Novel Network Analysis of Diffusion Tensor Imaging Data, SE Thanarajah, CE Han, A Rotarska-Jagiela, W Singer, R Deichmann, K Maurer, M Kaiser, PJ Uhlhaas, submitted)
  • Permutation test for correlation coefficients: Permutation based multiple comparion correction for correlation coefficients. This routine includes the extreme statistics and the cluster-based statistics. (related paper: Cluster-based statistics for brain connectivity in correlation with behavioral measures, CE Han, SW Yoo, SW Seo, DL Na, JK Seong, PLoS One)
  • findCluser library: A MatLab library for finding clusters of edges or nodes. (related paper: Cluster-based statistics for brain connectivity in correlation with behavioral measures, CE Han, SW Yoo, SW Seo, DL Na, JK Seong, PLoS One)
  • Permutation test for group comparison: Permutation based multiple comparion correction for group comparison. The significance level computation routine was adjusted for connectivity data.
  • symMat library: A MatLab library for handling symmetrical brain networks.
  • drawBrain library: A MatLab library for drawing brain networks, measures of surfaces or nodes with a transparent brain.
  • Miscellaneous
    I love watching movies, and reading books related to history and sociology. I am interested in anything related to neuroscience!
    SCBIA Lab. Korea University. Republic of Korea.