Project Assistant Professor
Department of Mechanical and Biofunctional Systems , Institute of Industrial Science The University of Tokyo
4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
TEL: +81-3-5452-6837
E-Mail: h-kim

Work experience

2021. 10 - Present	Project Assistant Professor, Institute of Industrial Science, The University of Tokyo
	Project Member, Ishikawa Group Laboratory, The University of Tokyo
2020. 4 - 2021. 10	Project Assistant Professor, Data Science Research Division, Information Technology Center, The University of Tokyo
2017. 4 - 2020. 3	Project Assistant Professor, 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

Grant-in-Aid for Young Scientists : Development of high-speed vision system to support video telecommunication (2021-04-01 - 2024-03-31)

• Distributed High-speed Camera Network
  
• High-speed Visual Feedback Control
  
• High-speed Image Processing
  

Papers

• Hyuno Kim, Yuji Yamakawa, and Masatoshi Ishikawa: Seamless Multiple-Target Tracking Method Across Overlapped Multiple Camera Views Using High-Speed Image Capture, Journal of Robotics and Mechatronics, Vol.34, No.5, pp. 1043-1052, 2022; doi: 10.20965/jrm.2022.p1043
• Hyuno Kim, and Masatoshi Ishikawa: Sub-Frame Evaluation of Frame Synchronization for Camera Network Using Linearly Oscillating Light Spot, Sensors, Vol.21, Issue 18, Article No.6148, pp.1-14, 2021
• Seohyun Lee, Hyuno Kim, Hideo Higuchi, and Masatoshi Ishikawa: Visualization Method for the Cell-level Vesicle Transport Using Optical Flow and Diverging Colormap, Sensors, Vol.21, Issue 2, Article No.522, pp.1-13, 2021.
• Seohyun Lee, Hyuno Kim, and Hideo Higuchi: Extended Dual-Focus Microscopy for Ratiometric-Based 3D Movement Tracking, Appl. Sci. 2020, 10(18), 6243; doi:10.3090/app10186243
• 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.

International Conference

• Seohyun Lee, Hyuno Kim, Hideo Higuchi, and Masatoshi Ishikawa: Classification of Metastatic Breast Cancer Cell Using Deep Learning Approach, 2021 International conference on artificial intelligence in information and communication (ICAIIC), (Jeju island, South Korea, 2021. 4) as Online conference / Proceedings, pp. 425-428
• Seohyun Lee, Hyuno Kim, Hideo Higuchi, and Masatoshi Ishikawa: A machine learning approach to transport categorization for vesicle tracking data analysis, SPIE Photonics West BiOS 2021 (San Francisco, United States, 2021. 3) as Online conference / Proceedings, pp. 1-5 [DOI:10.1117/12.2576170]
• Seohyun Lee, Hyuno Kim, Hideo Higuchi, and Masatoshi Ishikawa: Estimation of Vesicle Transport near the Cellular Membrane using Image Processing, 2020 OSA Imaging and Applied Optics Congress (Vancouver, Canada, 2020. 6.) as Online conference / (JF4E.2)
• 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