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Resume

Experience

Aug 2023 - Present

Graduate Research Assistant

UNC/NCSU

Raliegh, North Carolina

My research primarily revolves around the development and modeling of the entire heart, aimed at enabling assessment of cardiac abnormalities. My focus lies in pioneering novel methodologies for modeling + integrating machine learning into medical imaging and segmentation.

May 2024 - Aug 2024

R&D Engineering Intern

Anteris Technologies

Maple Grove, Minnesota

•  Performed comprehensive transcatheter heart valve testing, including Hydro and AWT testing, system debugging, and conducting imaging inspections on the valves.

•  Researched and evaluated various vendors for specialized heart valve assessments to verify compliance with standards.

•  Designed and developed precise CAD models of valves using a portable scanner and SolidWorks for FSI simulations.

•  Participated in animal testing and conducted echos in an in-vitro system to compare the MPG and EOA of different TAVRs.

•  Manufactured and assembled custom crimpers for large valves, incorporating injection molding techniques.

•  Authored a Standard Operating Procedure (SOP) for a valve science project (crimp profile measurement).

2021 - 2023

Graduate Research Associate

University of Denver

Denver, Colorado

I had two successful main projects that reached publication during my time as a research associate at the University of Denver Cardiovascular Biomechanics Lab. Additionally, I actively participated in various other projects as a team leader or team member, collaborating with fellow students.

1) The Role of FSI Simulations in Improving Structural and Hemodynamic Performance of Bioprosthetic Heart Valves (BHVs)

Responsibilities:
• Conducted and reported in-vitro pulsatile flow tests on a BHV according to ISO-5840 standards.
• Modeled a BHV (CE PERIMOUNT Magna Ease) inside a pulse duplicator (In-vitro valve testing system) using SolidWorks.
• Developed 2-way fluid-structure interaction (FSI) simulations of the BHV inside a pulse duplicator to assess long-term durability, blood stasis, and risk of valve thrombosis.
• Validated the model by comparing its results with PIV measurements, achieving a high accuracy rate of 96% in jet length in the peak systole (The results were presented as the finalist in the paper competition at the SB3C 2023).

2) The Measurement of Bovine Pericardium Density and its Implications on Leaflet Stress Distribution in BHVs

• Ran Several Design of Experiment (DOE) to find the density of surgical heart valves leaflets.
• Developed a Python code to find Fung strain energy function coefficients using biaxial testing data (Ovine model).
• Conducted FEA simulations to assess long-term durability of bioprosthetic and transcatheter heart valves using Abaqus, revealing up to 30.7% reduction in the maximum stress levels with the new tissue properties.
• Optimized the material properties of a bioprosthetic heart valve, achieving an accuracy rate of over 94% in predicting valve opening behavior (The results were presented at the SB3C 2023).

Education

2023 - 2026

University of North Carolina
at Chapel Hill/

North Carolina State University

Ph.D. in Biomedical Engineering, Minor in Computer Science

North Carolina

  • Dynamic Patient-Specific Computer Simulation of Transcatheter Aortic Valve Replacement Using the Evolut R and SApien3.

  • Fluid-Structure Interaction Model of the Human Heart With a Closed-Loop Model of the Circulation.

2021 - 2023

University of Denver

M.Sc. in Mechanical Engineering

Denver, CO

  • Numerical and Experimental Analysis of Longevity and Hemodynamic Performance of Bioprosthetic & Transcatheter Heart Valves.

Technical skills

Computer: SolidWorks, AutoCAD, ANSYS, FLUENT, ABAQUS, Blender, Meshmixer, EES, IBM SPSS, JMP, MINITAB, HyperMesh, MIMICS, Adobe package (Photoshop, Illustrator), Microsoft Office, LaTeX

Lab Skills: 3D Printing, Injection Molding, LabVIEW, Mechanical Testing (Tension/Compression, Bending), Laser Cutting, GD&T, In-Vitro Valve Testing, Data Analyzing (T-test, ANOVA).

Programming: MATLAB, Python, C++.

Languages

Persian (Native)

English (Fluent)

Arabic (advanced)

Spanish (intermediate)

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