• INTRO

    I obtained my Ph.D. degree in Computer Science from The University of Tokyo in 2020. I have expertise in Machine Learning, especially Deep Learning for Medical Imaging and Bioinformatics, where I am working on 2D/3D MR/CT image augmentation/classification/detection/segmentation, and operon optimization, as a project leader of several international projects in collaboration with institute below.


    Collaborative Institute

    • UK University of Cambridge
    • Italy Università degli Studi di Milano-Bicocca
    • Germany Technische Universität München
    • Japan FUJIFILM・Creative AI Center Brain(s)
    • Japan Kyushu University
    • Japan Chubu University
    Admitted to The University of Tokyo at the age of 16, I recently obtained my Ph.D. degree in Computer Science there. I am very fluent in English, Japanese, and Korean. I won 3 presentation contests (total prize: over 1.8M Yen, both in Japanese/English).
  • CAREER

    2019 Visiting Scholar @University of Cambridge, Cambridge, The UK (Supervisor: Prof. Evis Sala)

    2018- Visiting Researcher @Department of Radiology, Center Hospital of the National Center for Global Health and Medicine, Tokyo, Japan
    2018 FUJIFLIM・Creative AI Center Brain(s) Internship
    2018- Research Assistant (RA) @Medical Bigdata Research Center, National Institute of Informatics, Tokyo, Japan
    2018 Visiting Scholar @Università degli Studi di Milano-Bicocca, Milan, Italy (Supervisor: Prof. Giancarlo Mauri)
    2017 Visiting Scholar @Università degli Studi di Milano-Bicocca, Milan, Italy (Supervisor: Prof. Giancarlo Mauri)

    2017- Ph.D. Student in Computer Science @The University of Tokyo, Tokyo, Japan (Supervisor: Prof. Hideki Nakayama) I completed my Ph.D. defense!

    2016 Exchange Student @Technische Universität München, Munich, Germany (Supervisor: Felix Achilles)

    2015-2017 Master's Degree in Computer Science @The University of Tokyo, Tokyo, Japan (Supervisor: Prof. Hitoshi Iba)

    2015.04- Graduate Program for Social ICT Global Creative Leaders (GCL) I completed my GCL defense!

    2011-2015 Bachelor's Degree in Computer Science @The University of Tokyo, Tokyo, Japan (Supervisor: Prof. Hitoshi Iba & Yoshihiko Hasegawa)

    • PUBLICATIONS/PRESENTATIONS

      Google Scholar Profile
      This page contains ONLY international activities.

      Journal Article (Peer-reviewed)

      Book Chapter (Peer-reviewed)

      Oral Presentation (Peer-reviewed)

      Poster Presentation (Peer-reviewed)

      Invited Journal Article

      ArXiv Preprints (Submitted to Journals/Conferences)

      Currently no

      Professional Service

      • Reviewer, INFORMS Journal on Computing
      • Track Chair, Session: Machine Learning and Computational Intelligence in multi-omics and medical image analysis, Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB), Bergamo, Italy, September 2019.

      Oral Presentations (Without peer-review)

      • C. Han, F. Gesser, Z.Á. Milacski, L. Rundo, H. Nakayama, RNN-based Unsupervised Anomaly Detection for Alzheimer's Disease Diagnosis Using Multiple MR Image Interpolation, In International Summer School on Deep Learning (DeepLearn), Genoa, Italy, July 2018. 
      • L. Rundo, C. Han, J. Zhang, R. Hataya, Y. Nagano, C. Militello, C. Ferretti, M.S. Nobile, A. Tangherloni, M.C. Gilardi, S. Vitabile, H. Nakayama, G. Mauri, CNN-based Prostate Zonal Segmentation on MR Images: A Multi-centric Study, In International Summer School on Deep Learning (DeepLearn), Genoa, Italy, July 2018. 
      • C. Han, L. Rundo, R. Araki, Y. Furukawa, G. Mauri, H. Nakayama, H. Hayashi, Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection, In The Italian Workshop on Neural Networks (WIRN), Vietri sul Mare, Italy, June 2018.
      • L. Rundo, C. Han, J. Zhang, R. Hataya, Y. Nagano, C. Militello, C. Ferretti, M.S. Nobile, A. Tangherloni, M.C. Gilardi, S. Vitabile, H. Nakayama, G. Mauri, CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study, In The Italian Workshop on Neural Networks (WIRN), Vietri sul Mare, Italy, June 2018.

      Poster Presentations (Without peer-review)

      • C. Han, H. Hayashi, L. Rundo, R. Araki, Y. Nagano, Y. Furukawa, G. Mauri, H. Nakayama, Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection, In International Computer Vision Summer School (ICVSS), Sicily, Italy, July 2018.
      • C. Han, F. Gesser, Z.Á. Milacski, Tomographic Slice Reconstruction by U-Net, In Vision and Sports Summer School (VS3), Prague, Czech Republic, August 2016.
      • C. Han, F. Navarro, F. Achiles, Tomographic Slice Reconstruction by Convolutional Neural Network, In Medical Imaging Summer School (MISS) Sicily, Italy, August 2016.
    • AWARDS/GRANTS/LANGUAGES

      AWARDS

      • 2019.09 International Conference on 3D Vision (3DV) Student Travel Grant (grant: $CAD 500)
      • 2019.08 University of Tokyo AI Solutions Global Competition 2019 Winner (prize: the right to attend SU Global Summit 2020 including flight tickets and accommodation)
      • 2019.08 Meeting on Image Recognition and Understanding (MIRU) Student Research Encouragement Award
      • 2019.05 Symposium on Medical Imaging Best Research Award
      • 2018.12 GCL Mini-Presentation Competition Winner (prize: 0.1M Yen)
      • 2017.08 Meeting on Image Recognition and Understanding (MIRU) Best Research Plan Award (Team Leader, prize: GPUs worth 1M Yen)
      • 2016.08 Vision and Sports Summer School (VS3) Best Poster Award

      SELECTED GRANTS

      • 2019.10-2020.03 Individual Project in Graduate Program for Social ICT Global Creative Leaders
      • 2017.12-2018.03 Individual Project in Graduate Program for Social ICT Global Creative Leaders
      • 2017.06-2018.03 Team Project in Graduate Program for Social ICT Global Creative Leaders (Team Leader)
      • 2015.10-2016.03 Individual Project in Graduate Program for Social ICT Global Creative Leaders
      • 2015.04-2020.03 Graduate Program for Social ICT Global Creative Leaders
      • 2010.03-2015.03 Japan-Korea Joint Government Scholarship Program for the Students in Science and Engineering Departments

      LANGUAGES

       

      • Japanese: Native
      • Korean: Native
      • English: Advanced (TOEIC: 985/990)
      • Programming: Python (Modules: NumPy, TensorFlow, Keras)
    • CONTACT ME

      Email: han@nlab.ci.i.u-tokyo.ac.jp

    • This site is created based on the format of Nami Ogawa's website (http://namiogawa-en.mystrikingly.com)