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Seohyun Lee

Portrait

Affiliation

Project Researcher
Data Science Research Division,
Information Technology Center, University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Phone: +81-3-5841-6938 (laboratory)
E-Mail: lee

Curriculum Vitae

Education

2018/9 Ph.D., Department of Physics, Graduate School of Science, the University of Tokyo
2014/9 M.S., Department of Physics, Graduate School of Science, the University of Tokyo
2007/8 B.S., Department of Physics, College of Natural Science, Ewha Womans University (Seoul, South Korea)

Working Experiences

2020/4 - present Project Researcher, Data Science Research Division, Information Technology Center, The University of Tokyo
2018/11 - 2020/3 Project Researcher, Graduate School of Information Science and Technology, the University of Tokyo
2007/7 - 2009/6 Research engineer, SK hynix, South Korea
2007/1 - 2007/2 Student Intern, SK hynix, South Korea

Competitive Research Funding

Grant-in-Aid for Young Scientists : Development of cell image data analysis method for highly accurate 3D vesicle movement detection based on computer vision techniques (2020-04-01 – 2023-03-31)
Grant-in-Aid for Research Activity start-up : Understanding the intracellular transport of endosomes using machine learning approach (2019-08-30 – 2021-03-31)

Academic & Extracurricular Activities

2013/2 - 2013/8 English teacher at Association for Promotion of International Understanding 
2011/4 - 2012/9 Research student in Department of Physics, Graduate School of Science, the University of Tokyo
                         (Japanese Government (MEXT) Scholarship ~ 2017/9)
2005/7 - 2006/7 Exchange student in Technische Universität Darmstadt (Darmstadt, Germany)

Publications

Paper

  • Seohyun Lee and Hideo Higuchi: 3D rotational motion of an endocytic vesicle on a complex microtubule network in a living cell, Biomedical Optics Express, Vol. 10, No. 12, pp. 6611-6624 , Nov. 2019. [DOI:10.1364/BOE.10.006611]
  • Seohyun Lee, Hyuno Kim, and Hideo Higuchi: Numerical method for vesicle movement analysis in a complex cytoskeleton network, Optics Express, Vol. 26, No. 13, pp. 16236-16249, Jun. 2018. [DOI:10.1364/OE.26.016236]

Conference

  • Seohyun Lee, Hyuno Kim, Hideo Higuchi, and Masatoshi Ishikawa: Visualization and Data Analysis for Intracellular Transport using Computer Vision Techniques, 2020 IEEE Sensors Applications Symposium (Kuala Lumpur, Malaysia, 2020. 3.) / [To appear]
  • Seohyun Lee, Hyuno Kim, and Masatoshi Ishikawa: Deep Learning Approach to Face Pose Estimation for High-Speed Camera Network System, 2020 IEEE International Conference on Artificial Intelligence in Information and Communication (Fukuoka, Japan, 2020. 2.) / [To appear]
  • Seohyun Lee, Hyuno Kim, Hideo Higuchi, and Masatoshi Ishikawa: Optical flow of vesicles: Computer vision approach for endocytosis of nanoparticles in a living cell, SPIE Photonics West BiOS 2020 (San Francisco, United States, 2020. 2.) / Proceedings, Vol. 11254, pp. 1-6. [DOI:10.1117/12.2543455]
  • Seohyun Lee, Tomohiko Hayakawa, Chika Nishimura, Satoshi Yawata, Hiroki Yagi, Dai Watanabe, and Masatoshi Ishikawa: Comparison of Deep Learning and Image Processing for Tracking the Cognitive Motion of a Laboratory Mouse, 2019 IEEE Biomedical Circuits and Systems Conference (Nara, Japan, 2019. 10.) / Proceedings, pp. 1-4. [DOI:10.1109/BIOCAS.2019.8919239]
  • Seohyun Lee, Tomohiko Hayakawa, Chika Nishimura, Satoshi Yawata, Dai Watanabe, and Masatoshi Ishikawa: Movement Analysis for Volitional Direction Change of Laboratory Mouse based on High-Speed Imaging, 2019 OSA Imaging and Applied Optics (Munich, Germany, 2019. 6.) / [DOI:10.1364/ISA.2019.IW1C.1]
  • Hyuno Kim, Ryo Ito, Seohyun Lee, Yuji Yamakawa, and Masatoshi Ishikawa: Simulation of Face Pose Tracking System using Adaptive Vision Switching, 2019 IEEE Sensors Applications Symposium (Sophia Antipolis, France, 2019. 3.) / Proceedings, pp. 1-6. [DOI:10.1109/SAS.2019.8706000]
  • Seohyun Lee, Hyuno Kim, Masatoshi Ishikawa, and Hideo Higuchi: 3D Nanoscale Tracking Data Analysis for Intracellular Organelle Movement using Machine Learning Approach, 2019 IEEE International Conference on Artificial Intelligence in Information and Communication (Okinawa, Japan, 2019. 2.) / Proceedings, pp. 181-184 [DOI:10.1109/ICAIIC.2019.8669003]
  • Seohyun Lee, Hyuno Kim, and Hideo Higuchi: Focus Stabilization by Axial Position Feedback in Biomedical Imaging Microscopy, 2018 IEEE Sensors Applications Symposium (Seoul, South Korea, 2018. 3.) / Proceedings, pp. 309-314. [DOI:10.1109/SAS.2018.8336767]

Presentations

International Meeting

  • 2020 64th Biophysical Society Annual Meeting (San Diego, United States)
  • 2017 9th A3 Foresight Meeting on Biomedicine (Yokohama, Japan)
  • 2013 Joint Workshop on Bio-Soft Matter (Seoul, South Korea)

Domestic Meeting

  • 2018 56th Annual Meeting of the Biophysical Society of Japan (Okayama)
  • 2018 16th Annual Meeting of the Society of Nano Science and Technology (Tokyo)
  • 2018 Joint meeting on Living Body Movement (Tokyo)
  • 2017 55th Annual Meeting of the Biophysical Society of Japan (Kumamoto)
  • 2016 54th Annual Meeting of the Biophysical Society of Japan (Tsukuba)
  • 2015 53rd Annual Meeting of the Biophysical Society of Japan (Kanazawa)
  • 2015 13th Annual Meeting of the Society of Nano Science and Technology (Sendai)
  • 2015 Joint meeting on Living Body Movement (Tokyo)
  • 2014 52nd Annual Meeting of the Biophysical Society of Japan (Sapporo)
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