For full version (pdf), please contact me.

Work

Post-doctoral researcher
Event camera research, supervising students, and sometimes giving lectures/talks about computer vision

Arene AI Team
MLOps, large-scale ML-data pipeline, and ML research for Toyota’s autonomous driving
Feb. 2019 - Dec. 2020: Software Engineer L3
Jan. 2021 - Sep. 2021: Software Engineer L4
Oct. 2021 - Sep. 2023: Leave of absence

Education

Ph. D (visiting) in Electrical Engineering, September 2021 - September 2023

Department of Electrical Engineering and Computer Science, Technische Universität Berlin, Berlin, Germany
Prof. Guillermo Gallego
Event-based camera, motion and optical flow estimation

Ph. D in Electrical Engineering, September 2019 - September 2023

Department of Electronics and Electrical Engineering, Keio University, Kanagawa, Japan
Prof. Yoshimitsu Aoki
Event-based camera, optical flow and depth estimation

MSc in Behavioral neuroscience, April 2015 - March 2017

Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
Prof. Kazuo Okanoya
Neural mechanism of auditory and vocal processing in songbird brain, through in vivo recording of neural activity and arousal state of individual.

BSc in Behavioral neuroscience, April 2011 - March 2015

The University of Tokyo, Tokyo, Japan
Prof. Kazuo Okanoya
Behavioral experiments and underlying mechanism of vocal control against background noise in songbird.

Research Engineer Internship, Preferred Networks, Inc. Dec. 2015 - Mar. 2017

Software and Data Engineer Internship, Recruit Institute of Technology, Feb. 2016 - Oct. 2016

Software Engineer Internship, NTT Media Intelligence Institution, Aug. 2015 - Sep. 2015

Human speech recognition DNN model, inspired from auditory processing in human brain
Outstanding performance award

14th JSPS Ikushi Prize, Japan Society for the Promotion of Science, 2024. En/Jp
Dean’s Dissertation Award, Faculty of Science and Technology (Fujiwara Award), Keio University, 2024.
Best paper award, ViEW 2022 (in Japanese)
DAAD (German Academic Exchange Service), 2021-2023.
- Bi-national Ph.D supervision fellopship
MITOU Advanced, Ministry of Economy, Trade and Industry, Japan. 2018.
- Developing software for brand-new neuromorphic vision sensor (event camera). Funded competition ($80,000).
- I lead my team, and implemented libraries and algorithms.
- Project page (in Japanese)
- Project report (in Japanese)
First prize in software challenge, Toyota Motor Corporation, 2018.
- Software Skill Challenge (Assessment) within the autonomous driving division, Toyota Motor Corporation
2nd prize for the patent-of-the-year award, Toyota Motor Corporation, 2017.
- Patent of the year in the autonomous driving division, Toyota Motor Corporation

“イベントカメラによる動き推定とアプリケーション”, The 30th Synposium on Sensing via Image Information (SSII), Yokohama, 06.2024
“Global Trends and Latest Research on Event Cameras”, Next Generation Image Acquisition and Vision System (日本工業技術振興協会次世代画像入力ビジョン部会), Tokyo, 03.2024
“Bio-inspired Motion Estimation using Event Cameras”, ACRO, Teikyo University, Tokyo, 07.2023.
“From Events to Motion”, Image Processing Group, Universitat Politècnica de Catalunya, Spain, 06.2023.
“Event Cameras and its Applications”, Graduate lecture: 画像工学特論, Keio University, 05.2023.
“From Events to Motion to its Applications”, Science of Intelligence, Berlin, 05.2023. (page)
“Event Cameras and Optical Flow”. Undergrad lecture: Active Perception (72000017), TU Berlin, 12.2022.
“Event-based vision: From basics to state-of-the-art”. DAAD Scholarship Annual Meeting, Berlin, 05.2022.

CVPR, ICCV, ICRA, IROS
And related workshops in event-based vision, mixed reality, 3D computer vision, motion estimation, etc.