Academic curriculum vitae.
Contact Information
| Name | Amir Nazemi |
| Professional Title | Ph.D. Candidate |
| 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
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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)
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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
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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
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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
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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
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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
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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
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2025 Michigan Institute of Computational Discovery and Engineering (MICDE) Fellowship
University of Michigan
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2024 Rackham Graduate Student Research Grant
University of Michigan
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2022 MITACS Accelerate Award
University of British Columbia
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2021 UBC Graduate Fellowship
University of British Columbia
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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
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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
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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
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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