Personnel Information

写真a

IMAI Takashi


Title

Instructor

Field

Field of Data Science

Research Interests 【 display / non-display

  • Nonlinear Dynamics

Graduating School 【 display / non-display

  • Kyoto University, Faculty of Engineering

    University, 2009.03, Graduated

Graduate School 【 display / non-display

  • Kyoto University, Graduate School, Division of Information and Communication

    Doctor's Course, 2017.03, Completed

  • Kyoto University, Graduate School, Division of Information and Communication

    Master's Course, 2011.03, Completed

Campus Career 【 display / non-display

  • Shiga University Faculty of Data science Department of Data science,Instructor, 2024.04 - Now

  • Shiga University Data Science and AI Innovation Research Promotion Center,Assistant professor, 2022.04 - 2024.03

  • Shiga University Center for Education and Research of Data Science,Assistant professor, 2019.09 - 2022.03

Research Areas 【 display / non-display

  • Informatics / Soft computing

 

Papers 【 display / non-display

  • Bayesian Optimization–based Experimental Design with Multi-output Gaussian Process Regression to Obtain Specific Powder Particle Size Distributions, Journal of the Society of Powder Technology, Japan, vol.62 (11) (p.628 - 639) , 2025.11, Tomohiro Kitamura, Takashi Imai, Kaoru Kawamoto

    DOI:10.4164/sptj.62.628, Research paper (scientific journal), Multiple Authorship

  • Deep Neural Network-Based Estimation of Analytic Signals for Neural Oscillations, IPSJ SIG Technical Report, vol.2024-HCI-207 (44) (p.1 - 6) , 2024.03

    Research paper (conference, symposium, etc.), Multiple Authorship

  • Graph deep learning for estimating the state of neural oscillations, IPSJ SIG Technical Report, vol.2023-HCI-202 (46) (p.1 - 7) , 2023.03

    Research paper (conference, symposium, etc.), Multiple Authorship

  • Application of Model-Based Time point Clustering to Electricity Demand Forecasting, IPSJ SIG Technical Report, vol.2022-MPS-137 (9) (p.1 - 6) , 2021.02

    Research paper (conference, symposium, etc.), Multiple Authorship

  • Application of Model-Based Time Series Clustering to Electricity Demand Forecasting, IPSJ SIG Technical Report, vol.2021-MPS-132 (18) (p.1 - 6) , 2021.02

    Research paper (conference, symposium, etc.), Multiple Authorship

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Research Grants & Projects 【 display / non-display

  • ,Joint researchJoint research,2025.04 - 2026.03

  • ,Joint researchJoint research,Collaboration in Japan,2024.04 - 2025.03

  • ,Joint researchJoint research,2023.04 - 2024.03

  • ,Joint researchJoint research,Collaboration in Japan,2022.06 - 2023.03

  • ,Joint researchJoint research,Collaboration in Japan,2022.04 - 2023.03

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Preferred joint research theme 【 display / non-display

  • 【キーワード】非線形力学系/非線形振動/位相縮約

 

Charge of on-campus class subject 【 display / non-display

  • 課題研究2,2026.10 - 2027.03

  • 時系列モデリング実践論,2026.10 - 2027.03

  • 時系列モデリング,2026.10 - 2027.03

  • データサイエンス応用演習,2026.10 - 2027.03

  • データサイエンス上級実践価値創造卒業演習Ⅱ,2026.10 - 2027.03

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