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Reseacher

Name TAKAHASHI Hirotaka
Official Title Professor
Affiliation Design and Data Science
E-mail hirotaka@tcu.ac.jp
Web
  1. https://www.comm.tcu.ac.jp/gw-ds/home-en/
  2. https://www.risys.gl.tcu.ac.jp/Main.php?action=profile&type=detail&selected_lang=E&tchCd=5002178000
Profile There are two major research themes: “Big Data Analysis” and “Operations Research”. What is common to all our researches is that we develop methods (algorithms) and software to analyze the acquired data in detail, and apply them to actual data to interpret and use the results.
If you are interested, please visit HP of my group: https://www.comm.tcu.ac.jp/gw-ds/home-en/

Prof. Takahashi’s impression written by students: Prof. Takahashi is very enthusiastic about his and our researches and sometimes gives me strict and sometimes gentle guidance. Thanks to his enthusiastic guidance, the students of our research group made presentations at various conferences and meetings, and won the prizes at various international conferences. If you want to concentrate on the researches, this group is very comfortable for you.
Research Field(Keyword & Summary)
  1. Big Data Analysis is divided into three sub-themes: gravitational wave data analysis (astrophysics), feature extraction using artificial intelligence and machine learning (sensor data), and applications to education. In the field of operations research, we are developing modeling and analysis methods and software to enable unskilled people and computers to make decisions based on data, instead of decisions based on the intuition and experience of skilled people. We will continue to use various data to develop our research and to work with students, companies, and local governments on research topics that are needed in the real world using a variety of data.

Representative Papers
  1. Yusuke Sakai, Yousuke Itoh, Piljong Jung, Keiko Kokeyama, Chihiro Kozakai, Katsuko T. Nakahira, Shoichi Oshino, Yutaka Shikano, Hirotaka Takahashi, Takashi Uchiyama, Gen Ueshima, Tatsuki Washimi, Takahiro Yamamoto, Takaaki Yokozawa, “Training Process of Unsupervised Learning Architecture for Gravity Spy Dataset”, Annalen der Physik, issue 2200140 (2022). doi:10.1002/andp.202200140
  2. Yusuke Sakai, Yousuke Itoh, Piljong Jung, Keiko Kokeyama, Chihiro Kozakai, Katsuko T. Nakahira, Shoichi Oshino, Yutaka Shikano, Hirotaka Takahashi, Takashi Uchiyama, Gen Ueshima, Tatsuki Washimi, Takahiro Yamamoto, Takaaki Yokozawa, “Unsupervised Learning Architecture of Classifying Transient Noise for Interferometric Gravitational-Wave Detectors”, Scientific Reports, 12, Article number: 9935 (2022). doi:10.1038/s41598-022-13329-4
  3. Seiya Sasaoka, Yilun Hou, Kentaro Somiya, Hirotaka Takahashi, “Localization of gravitational waves using machine learning”, Physical Review D, Vol.105, pp.103030-1-7 (2022). doi:10.1103/PhysRevD.105.103030
  4. Yohei Kakimoto, Yuto Omae, Jun Toyotani, Hirotaka Takahashi, “Fast screening framework for infection control scenario identification”, Mathematical Biosciences and Engineering, Vol.19, No.12, pp.12316-12333 (2022). doi:10.3934/mbe.2022574
  5. Yuto Omae, Makoto Sasaki, Jun Toyotani, Kazuyuki Hara, Hirotaka Takahashi, “Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan”, IEEE Access, Vol.10, pp.43044-43054 (2022). doi:10.1109/ACCESS.2022.3168985
  6. Takuma Akiduki, Jun Nagasawa, Zhong Zhang, Yuto Omae, Toshiya Arakawa, Hirotaka Takahashi, “Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study”, Sensors, Vol.22, No.1, 352 (2022). doi:10.3390/s22010352
  7. M. Takeda, Y. Hiranuma, N. Kanda, K. Kotake, T. Kuroda, R. Negishi, K. Oohara, K. Sakai, Y. Sakai, T. Sawada, H. Takahashi, S. Tsuchida, Y. Watanabe, T. Yokozawa, “Application of the Hilbert-Huang transform for analyzing SASI induced gravitational waves in a core-collapse supernova”, Physical Review D, Vol.104, pp.084063-1-12 (2021). doi:10.1103/PhysRevD.104.084063
  8. KAGRA Collaboration, “Overview of KAGRA: Detector design and construction history”, Progress of Theoretical and Experimental Physics, Vol.2021 No.5, 05A101 (2021). doi:10.1093/ptep/ptaa125
  9. KAGRA Collaboration, “Overview of KAGRA: KAGRA science”, Progress of Theoretical and Experimental Physics, Vol.2021 No.5, 05A103 (2021). doi:10.1093/ptep/ptaa120
  10. Yuto Omae, Kazutaka Mizukoshi, Tatsuro Furuya, Takayuki Oshima, Norihisa Sakakibara, Yoshiaki Mizuochi, Kazuhiro Yatsushiro, Masaya Matsushita, Hirotaka Takahashi, “Intelligent Edutab Box: Supporting Real-Time Face-to-face Collaborative Learning”, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.25, No.2, pp.258-269 (2021). doi:10.20965/jaciii.2021.p025
Patent
  1. "Signal Detection Device," Patent No. 7095200 .
Award Best Presentation Award for the 15th International Conference on Innovative Computing, Information and Control（ICICIC2021）2021.9
Best Paper Award for the 13th International Conference on Innovative Computing, Information and Control（ICICIC2018）2018.8 etc.
Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS) https://nrid.nii.ac.jp/en/nrid/1000040419693/
Recruitment of research assistant(s) -
Affiliated academic society (Membership type) Physical Society of Japan
Astronomical Society of Japan
Operations Research Society of Japan
Information Processing Society of Japan
Japan Society for Educational Technology
Japan Society for Fuzzy Theory and Intelligent Informatics
Institute of Electronics, Information and Communication Engineers
Society of Instrument and Control Engineers
Yamanashi Academy of Sciences
Education Field (Undergraduate level) Data Science
Education Field (Graduate level) Data Science

Affiliation