Ebrahim_Ghorbani

Mr. Ebrahim Ghorbani

Connection 1
Publications 6

Professional Information

PhD Candidate - OsloMet

  • Geotechnical Engineer Engineering Geologist Geological Engineer

Student

  • Engineering Geology Finite Element / Finite Difference Offshore Geotechnics Rock Mass Characterization Cone Penetration Testing (CPT) Tunneling in Rock Tunneling in Soils
    Underground Structures Visualization

  • PhD or Equivalent
    • PhD - OsloMet : 11/08/2025 - Present
  • MSc or Equivalent
    • MSc - University of Tehran : 23/09/2014 - 24/09/2017

  • OsloMet : ( 11/09/2025 - Present )
    • PhD Candidate

  • Discussion on “Prediction of Engineering Characteristics of Rock Masses Using Actual TBM Performance Data with Supervised and Unsupervised Learning Algorithms (a Case Study in Strong to Very Strong Igneous and Pyroclastic Rocks)” [Rock Mech Rock Eng 57:72
    Journal Article published 2025 Jan 20 in Rock Mechanics and Rock Engineering
    Authors: Ebrahim Ghorbani
    https://doi.org/10.1007/s00603-025-04399-7
  • Disc Cutter Wear Consumption Prediction Based on Rock Properties
    Book Chapter published 2025 Mar 7 in Advancements in Underground Infrastructures on pages 350 to 373
    Authors: Ebrahim Ghorbani, Amoussou Coffi Adoko, Saffet Yagiz
    https://doi.org/10.1201/9781003336525-14
  • AI-Based TBM Performance Models to Predict the Rate of Penetration
    Book Chapter published 2025 Mar 7 in Advancements in Underground Infrastructures on pages 319 to 349
    Authors: Ebrahim Ghorbani, Amoussou Coffi Adoko, Saffet Yagiz
    https://doi.org/10.1201/9781003336525-13
  • Predicting disc cutter wear using two optimized machine learning techniques
    Journal Article published 2024 Apr 7 in Archives of Civil and Mechanical Engineering volume 24 issue 2
    Authors: Ebrahim Ghorbani, Saffet Yagiz
    https://doi.org/10.1007/s43452-024-00911-y
  • Estimating the penetration rate of tunnel boring machines via gradient boosting algorithms
    Journal Article published 2024 Oct in Engineering Applications of Artificial Intelligence volume 136 on page 108985
    Authors: Ebrahim Ghorbani, Saffet Yagiz
    https://doi.org/10.1016/j.engappai.2024.108985


Contact Information

Norway View on map

+4796721656

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Name
Publications
Discussion on “Prediction of Engineering Characteristics of Rock Masses Using Actual TBM Performance Data with Supervised and Unsupervised Learning Algorithms (a Case Study in Strong to Very Strong Igneous and Pyroclastic Rocks)” [Rock Mech Rock Eng 57:72
Journal Article published 2025 Jan 20 in Rock Mechanics and Rock Engineering
Authors: Ebrahim Ghorbani
https://doi.org/10.1007/s00603-025-04399-7
Disc Cutter Wear Consumption Prediction Based on Rock Properties
Book Chapter published 2025 Mar 7 in Advancements in Underground Infrastructures on pages 350 to 373
Authors: Ebrahim Ghorbani, Amoussou Coffi Adoko, Saffet Yagiz
https://doi.org/10.1201/9781003336525-14
AI-Based TBM Performance Models to Predict the Rate of Penetration
Book Chapter published 2025 Mar 7 in Advancements in Underground Infrastructures on pages 319 to 349
Authors: Ebrahim Ghorbani, Amoussou Coffi Adoko, Saffet Yagiz
https://doi.org/10.1201/9781003336525-13
Predicting disc cutter wear using two optimized machine learning techniques
Journal Article published 2024 Apr 7 in Archives of Civil and Mechanical Engineering volume 24 issue 2
Authors: Ebrahim Ghorbani, Saffet Yagiz
https://doi.org/10.1007/s43452-024-00911-y
Estimating the penetration rate of tunnel boring machines via gradient boosting algorithms
Journal Article published 2024 Oct in Engineering Applications of Artificial Intelligence volume 136 on page 108985
Authors: Ebrahim Ghorbani, Saffet Yagiz
https://doi.org/10.1016/j.engappai.2024.108985
Determination of initial stress state and rock mass deformation modulus at Lavarak HEPP by back analysis using ant colony optimization and multivariable regression analysis
Journal Article published 2020 Jul 23 in Bulletin of Engineering Geology and the Environment volume 80 issue 1 on pages 429 to 442
Authors: Ebrahim Ghorbani, Mahdi Moosavi, Mohammad Farouq Hossaini, Mehdi Assary, Yousef Golabchi
https://doi.org/10.1007/s10064-020-01936-2
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