Mohammad Sarraf Joshaghani, PhD

Computational Scientist-Postdoctoral Researcher at Rice University
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Contact Information
us****@****om
(386) 825-5501
Languages
  • English Full professional proficiency
  • Farsi Native or bilingual proficiency

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Bio

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Credentials

  • High Performance Computing Certificate
    University of Houston
    Aug, 2019
    - Oct, 2024

Experience

    • United States
    • Higher Education
    • 700 & Above Employee
    • Computational Scientist-Postdoctoral Researcher
      • Sep 2019 - Present

      Department of Computational and Applied Mathematics • Lead developer of an accurate multiphysics flow-transport-deformation code with desirable features • Developed a low-order/fast FE solver for multiphase flow systems in heterogeneous porous media • Designed physics-aware deep learning algorithms to solve hyperbolic conservation laws Department of Computational and Applied Mathematics • Lead developer of an accurate multiphysics flow-transport-deformation code with desirable features • Developed a low-order/fast FE solver for multiphase flow systems in heterogeneous porous media • Designed physics-aware deep learning algorithms to solve hyperbolic conservation laws

    • United States
    • Higher Education
    • 700 & Above Employee
    • Doctoral Researcher
      • Sep 2015 - Aug 2019

      Computational and Applied Mechanics Laboratory • Developed stable numerical schemes with relevant analysis for modeling coupled phenomena in multi-scale porous materials (ex. biological implants and shale rocks) • Designed fast, scalable solvers/preconditioners for complex subsurface problems (ex. reservoirs, contaminant control, C02 sequestration, fuel cells, and reactive geochemical and coupled systems). • Designed performance models and HPC techniques to quickly analyze the performance and scalability across various hardware platforms, software implementations, and numerical discretizations • Developed an accurate optimization-based solver (with marginal overhead) for modeling degradation phenomena under severe loading (applicable in modeling Li-ion batteries, soil consolidation) Show less

    • Brazil
    • Investment Management
    • 700 & Above Employee
    • Engineer
      • Oct 2014 - Jul 2015

      • Reviewed designs of structural components of Grand Parkway-SH99 project • Reviewed designs of structural components of Grand Parkway-SH99 project

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Researcher
      • Aug 2012 - Aug 2014

      Department of Civil and Environmental Engineering • Developed realistic contact mechanics models for soil-pipe-fluid interaction • Proposed a constitutive model for characterizing rheological and mechanical behavior of ultra-soft soil Department of Civil and Environmental Engineering • Developed realistic contact mechanics models for soil-pipe-fluid interaction • Proposed a constitutive model for characterizing rheological and mechanical behavior of ultra-soft soil

Education

  • University of Houston
    Doctor of Philosophy - PhD, Civil Engineering
    2015 - 2019
  • University of Houston
    Master of Science - MS, Civil Engineering
    2012 - 2014

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