Academic curriculum vitae.

Contact Information

Name Amir Nazemi
Professional Title Ph.D. Candidate
Email nazemi@umich.edu

Professional Summary

Ph.D. candidate in Mechanical Engineering and Scientific Computing at the University of Michigan, specializing in computational mechanics, granular materials, and scientific machine learning.

Experience

  • 2023 - Present

    Ann Arbor, MI, USA

    Graduate Student Research Assistant & Instructor
    University of Michigan
    • Developed a high-fidelity DEM-based simulation framework for analysis of locomotion in granular materials
    • Integrated DEM and FEM approaches for modeling intrusion of deformable bodies in granular material
    • Implemented parallelized algorithms for large-scale granular mechanics problems with non-spherical particles
    • Designed and constructed an experimental apparatus for compliant beam pull-out from granular media using in-situ X-ray imaging
    • GSI for Finite Element Methods in MEAM (Fall 2024, Fall 2025) and Laboratory II (Winter 2026)
  • 2021 - 2023

    BC, Canada

    Graduate Research & Teaching Assistant
    The University of British Columbia
    • Utilized MPM-based multi-scale simulations for textile composites forming processes, published in Composites Part A
    • Developed a Fortran subroutine for woven fabrics constitutive model in ABAQUS
    • Implemented physics-informed neural network models to predict thermal properties of composites
    • Head Teaching Assistant for Introductory Physics for the Life Sciences I
  • 2021 - 2022

    Quebec, Canada

    MITACS Research Intern
    NIEDNER INC.
    • Experimentally characterized mechanical properties of 3D woven fabric composite hydraulic tubes
    • Utilized numerical analysis of buckling-driven in-situ instabilities using FEM and MPM
  • 2018 - 2020

    Tehran, Iran

    Machine Learning Engineering Intern
    MAPNA Turbine Manufacturing Company (TUGA)
    • Developed machine learning codes for applications in mechanical engineering
    • Compressor blade root geometry classification using deep neural networks

Education

  • 2023 - Present

    Ann Arbor, MI, USA

    Doctor of Philosophy
    University of Michigan
    Mechanical Engineering and Scientific Computing
    • Advised by Prof. Hongyi Xiao
    • Developed a high-fidelity DEM-based simulation framework for analysis of locomotion in granular materials
    • Integrated DEM and FEM approaches for modeling intrusion of deformable bodies in granular material
    • GPA: 4.0/4.0
  • 2021 - 2023

    BC, Canada

    Master of Applied Science
    The University of British Columbia
    Mechanical Engineering
    • Supervised by Prof. Abbas S. Milani at the Composites Research Network
    • Thesis: Dynamic, particle-based simulation of industrial handling and draping process of textile semi-finished products using Material Point Method
    • GPA: 94.8/100
  • 2015 - 2020

    Tehran, Iran

    Bachelor of Science
    Sharif University of Technology
    Mechanical and Aerospace Engineering (Double Major)
    • 3rd Rank in Aerospace Engineering among 80 students (2017-2020)
    • GPA: 3.93/4.0

Awards

  • 2025
    Michigan Institute of Computational Discovery and Engineering (MICDE) Fellowship
    University of Michigan
  • 2024
    Rackham Graduate Student Research Grant
    University of Michigan
  • 2022
    MITACS Accelerate Award
    University of British Columbia
  • 2021
    UBC Graduate Fellowship
    University of British Columbia
  • 2019
    1st Place, AIAA Engine Design Competition
    American Institute of Aeronautics and Astronautics

    Placed in top 3 teams (among 15 teams) in first round and 1st place in second round after presenting at the AIAA Propulsion and Energy Forum, Indianapolis

  • 2018
    11th Place, US AAS CanSat Design and Build Competition
    American Astronautical Society

    Placed in top 40 teams in round 1 (among 400 teams), 11th place in final round in Stephenville, Texas

Leadership

  • 2024 - Present

    Ann Arbor, MI, USA

    Social and Mentorship Officer
    Mechanical Engineering Graduate Council (MEGC), University of Michigan
    • Mentoring two junior PhD students in their first semester, providing guidance on coursework, research expectations, and academic resources
    • Assisting in organizing social and mentorship events to support graduate students in the Mechanical Engineering department
    • Facilitating networking opportunities between new and senior graduate students to enhance academic and professional development
  • 2024 - Present

    Ann Arbor, MI, USA

    Graduate Mentor
    Physics of Disordered Solids Research Group, University of Michigan
    • Mentored a high school student, an undergraduate student, a visiting scholar, and a master’s student
    • Trained and supervised them on running discrete element simulations using the MercuryDPM open-source package
    • Trained and supervised them on material preparation, conducting an impact test, and analyzing the results
  • 2021 - 2023

    BC, Canada

    Graduate Mentor
    Composites Research Network, The University of British Columbia
    • Mentored an undergraduate student, a visiting scholar, three master’s students, and a PhD student
    • Trained and supervised them on experimental tests using Instron dual column load frame, Instron droptower impact system, thermal conductivity tester, and friction/peel tester
    • Trained and supervised them on material preparation and characterization of fiber-reinforced composites, and analysis of the characterization results
    • Trained and supervised them on running finite element simulations using ABAQUS

Skills

Computational Methods: Finite Element Method (FEM), Discrete Element Method (DEM), Material Point Method (MPM), Monte Carlo Methods, Molecular Dynamics
Programming: Python, C++, Fortran, C#, MATLAB
Simulation Tools: ABAQUS, ANSYS, LAMMPS, MercuryDPM, ANSYS Rocky
Machine Learning: TensorFlow, Scikit-Learn, Physics-Informed Neural Networks (PINNs)
High-Performance Computing: OpenMP, MPI, GPU Computing

Languages

English : Fluent
Persian : Native speaker