• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Koch Michael Conrad  Koch Michael・Conrad

ORCIDConnect your ORCID iD *help
Researcher Number 50964524
Affiliation (based on the past Project Information) *help 2022 – 2024: 京都大学, 農学研究科, 特定助教
Review Section/Research Field
Principal Investigator
0604:Agricultural economics and rural sociology, agricultural engineering, and related fields
Keywords
Principal Investigator
機能診断 / 逆解析 / statistics / layer detection / HMC / RJMCMC / interface detection / transdimensional / inverse problems
  • Research Projects

    (1 results)
  • Research Products

    (13 results)
  • Co-Researchers

    (1 People)
  •  Visualization of underground interior using stochastic inversionPrincipal Investigator

    • Principal Investigator
      Koch Michael Conrad
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      0604:Agricultural economics and rural sociology, agricultural engineering, and related fields
    • Research Institution
      Kyoto University

All 2025 2024 2023 2022

All Journal Article Presentation Book

  • [Book] Inverse Problems - Recent Advances and Applications2023

    • Author(s)
      Michael Conrad Koch, Kazunori Fujisawa and Akira Murakami
    • Total Pages
      19
    • Publisher
      IntechOpen
    • ISBN
      9781803552231
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Journal Article] Bayesian trans‐dimensional soil behaviour type inference using conditional posterior proposals2025

    • Author(s)
      Koch Michael Conrad、Fujisawa Kazunori、Ray Anandaroop
    • Journal Title

      Geophysical Prospecting

      Volume: - Issue: 5 Pages: 1510-1533

    • DOI

      10.1111/1365-2478.70021

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04575, KAKENHI-PROJECT-23K20964, KAKENHI-PROJECT-23K21246, KAKENHI-PROJECT-22K20601, KAKENHI-PROJECT-22K18352
  • [Journal Article] Efficient Bayesian inversion for simultaneous estimation of geometry and spatial field using the Karhunen-Lo?ve expansion2025

    • Author(s)
      Shibata Tatsuya、Koch Michael C.、Papaioannou Iason、Fujisawa Kazunori
    • Journal Title

      Computer Methods in Applied Mechanics and Engineering

      Volume: 441 Pages: 117960-117960

    • DOI

      10.1016/j.cma.2025.117960

    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Journal Article] Hydraulic Conductivity Field Marginalization in HMC Based Estimation of Piping Zone Boundary2022

    • Author(s)
      Kazunori Fujisawa, Michael C. Koch, Misato Osugi and Akira Murakami
    • Journal Title

      Proceedings of the 8th International Symposium on Geotechnical Safety and Risk (ISGSR)

      Volume: - Pages: 863-867

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Journal Article] Assessment of HMC Parameter Updates for Piping Zone Boundary Detection2022

    • Author(s)
      Michael C. Koch, Kazunori Fujisawa and Akira Murakami
    • Journal Title

      Proceedings of the 8th International Symposium on Geotechnical Safety and Risk (ISGSR)

      Volume: - Pages: 478-483

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Presentation] Bayesian inversion in a trans-dimensional framework for subsurface stratification2024

    • Author(s)
      Koch Michael Conrad
    • Organizer
      Research Institute for Mathematical Sciences Workshop ‘Some approaches on ill-posed problems -theory and practice-’, Kyoto University
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Presentation] Inversion approaches for explicit identification of the geometry of objects in a continuum2024

    • Author(s)
      Koch Michael Conrad
    • Organizer
      Exploring For The Future (EFTF) seminar series, Geoscience Australia
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Presentation] Advantages of simultaneous estimation of shape and physical properties using Hamiltonian Monte Carlo method2023

    • Author(s)
      Shibata Tatsuya, Koch Michael Conrad and Fujisawa Kazunori
    • Organizer
      第58回地盤工学研究発表会
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Presentation] Reversible Jump estimation of subsurface stratification using Hamiltonian Monte Carlo method2023

    • Author(s)
      Murata Kazumi, Koch Michael Conrad and Fujisawa Kazunori
    • Organizer
      第58回地盤工学研究発表会
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Presentation] Hamiltonian Monte Carloを用いた水みち形状と透水係数分布の同時推定2022

    • Author(s)
      柴田 達哉, Koch Michael, 藤澤 和謙
    • Organizer
      第57回地盤工学研究発表会
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Presentation] Reversible Jump MCMC を用いた地層分布の推定2022

    • Author(s)
      松本 祐弥, Koch Michael, 藤澤 和謙
    • Organizer
      第57回地盤工学研究発表会
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Presentation] Hydraulic Conductivity Field Marginalization in HMC Based Estimation of Piping Zone Boundary2022

    • Author(s)
      Kazunori Fujisawa, Michael C. Koch, Misato Osugi and Akira Murakami
    • Organizer
      8th International Symposium for Geotechnical Safety & Risk
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K20601
  • [Presentation] Assessment of HMC Parameter Updates for Piping Zone Boundary Detection2022

    • Author(s)
      Michael C. Koch, Kazunori Fujisawa and Akira Murakami
    • Organizer
      8th International Symposium for Geotechnical Safety & Risk
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K20601
  • 1.  FUJISAWA Kazunori
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi