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Hyuno Kim

Portrait

Affiliation

Project Assistant Professor
Data Science Research Division,
Information Technology Center, The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Phone: +81.3.5841.0225 (laboratory)
Fax: +81.3.5841.6952
E-Mail: kim

Curriculum Vitae

Working Experiences

2020/4 - Project Assistant Professor, Data Science Research Division, Information Technology Center, The University of Tokyo
2019/4 - 2020/3 Project Assistant Professor, Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo
2017/4 - 2019/3 Project Assistant Professor, Department of Creative Informatics, Graduate School of Information Science and Technology, The University of Tokyo
2009/12 - 2011/1 Research engineer, Eco Technology R&D Center of Hyundai Motor Company, South Korea
2007/4 - 2009/12 Research engineer, LG Component R&D Center of LG Innotek, South Korea

Education

2017/3 Ph.D., Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo
2007/3 M.E., Department of Mechanical Engineering and Science, Graduate School of Engineering, Kyoto University
2005/3 B.E., Department of Quantum Science and Energy Engineering, Faculty of Engineering, Tohoku University

Honors

2011/4-2015/3 Japanese Government (MEXT) Scholarship
2005/8-2007/3 Scholarship for Foreign Student, Yamaoka Scholarship Foundation
2000/3-2005/3 Japan-Korea Joint Government Scholarship Program for Students in Science and Engineering Departments

Research Theme

Robotic manipulation using high-speed machine vision, Visual encoder, and High-speed distributed camera network.

Publications

Papers

  • Seohyun Lee, Hyuno Kim, and Hideo Higuchi: Numerical method for vesicle movement analysis in a complex cytoskeleton network, Optics Express, Vol.26, Issue 13, pp. 16236-16249, 2018.
  • Hyuno Kim, Yuji Yamakawa, Taku Senoo, and Masatoshi Ishikawa: Visual encoder: robust and precise measurement method of rotation angle via high-speed RGB vision, Optics Express, Vol.24, Issue 12, pp. 13375-13386, 2016.

Conference

  • Hyuno Kim, Yuji Yamakawa, and Masatoshi Ishikawa: Robust hand tracking method by synchronized high-speed cameras with orthogonal geometry, 2020 IEEE Sensors Applications Symposium (SAS 2020) (2020. 3, Published)/ Proceedings, pp.1-5
  • 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 (SAS 2020) (2020. 3, Published)/ Proceedings, pp.1-6
  • 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)/ Proceedings, pp. 84-88
  • 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, Conf. on Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XVII (San Francisco, 2020.2.3)
  • 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 Symp. (SAS 2019) (Sophia Antipolis, France, 2019.3.11) / Proceedings, pp.1-6
  • 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
  • Hyuno Kim, Masatoshi Ishikawa, and Yuji Yamakawa: Reference Broadcast Frame Synchronization for Distributed High-speed Camera Network, 2018 IEEE Sensors Applications Symposium (Seoul, Korea, 2018.3.14) / Proceedings, pp. 389-393
  • Seohyun Lee, Hyuno Kim, and Hideo Higuchi: Focus Stabilization by Axial Position Feedback in Biomedical Imaging Microscopy, 2018 IEEE Sensors Applications Symposium (Seoul, Korea, 2018.3.13) / Proceedings, pp. 309-314
  • Hyuno Kim and Masatoshi Ishikawa: High-speed Distributed Camera Network Based on Message Passing Interface, 2016 19th International Conference on Information Fusion (FUSION 2016) (Heidelberg, Germany, 2016.7.8) / Proceedings, pp. 1768-1773
  • Hyuno Kim, Yuji Yamakawa, Taku Senoo and Masatoshi Ishikawa: Robotic Manipulation of Rotating Object via Twisted Thread Using High-speed Visual Sensing and Feedback, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, (San Diego, USA, 2015.9.16) / Proceedings, pp. 265-270
  • Hyuno Kim, Yuji Yamakawa, Taku Senoo and Masatoshi Ishikawa. Manipulation Model of Thread-Rotor Object by a Robotic Hand for High-speed Visual Feedback Control. 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. (Besancon, France, 2014.7.9) / Proceedings, pp.924-930
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