Throughout my professional journey, I have had the privilege of contributing to groundbreaking projects and driving innovation across various roles and organizations. From my current position as a Computational Fluid Dynamics (CFD) scientist at W.L. Gore & Associates to my previous experiences as an Artificial Intelligence (AI) researcher and postdoctoral research associate, I have consistently demonstrated a commitment to leveraging cutting-edge technologies to solve complex problems and make a meaningful impact.
Modeling and Simulation Scientist–Computational Fluid Dynamics @ W. L. Gore & Associates, Arizona, USA (Mar 2023-Present)
In my current role at W.L. Gore & Associates, I spearhead the development of innovative CFD models to optimize the design and performance of medical devices. By creating unique mathematical models, I enable rapid assessment of device performance, driving advancements in patient care and outcomes. Through my work, I bridge the gap between computational simulations and real-world medical applications, pushing the boundaries of what is possible in the realm of biomedical sciences.
Artificial Intelligence (AI) Researcher @ Origen.ai, Inc, New York, USA (Mar 2022-Mar 2023)
As an AI researcher at Origen.ai, I pioneered the development of state-of-the-art physics-inspired AI frameworks to accelerate CFD simulations of multiphase porous media. By creating novel physics-informed surrogate models, I enabled rapid assisted history matching (AHM) and developed cutting-edge CNN+Transformer networks to enhance the accuracy of these models. My work marked a significant paradigm shift in the field of porous media, offering a transformative solution for simulating and predicting fluid flow in complex geological formations.
Postdoctoral Research Associate @ Department of Biomedical Engineering, University of Arizona, AZ, USA (Mar 2020-Mar 2022)
During my postdoctoral tenure at the University of Arizona, I made significant contributions to the field of cerebrovascular disease diagnosis and quantification. By developing novel machine learning algorithms and leveraging multi-modality brain hemodynamic analysis, I created a groundbreaking deep learning framework, the “Area Surrogate Physics-Informed Neural Network” (AS-PINN), capable of predicting cerebral blood flow hemodynamics with unprecedented spatiotemporal resolution. This work, validated through comparisons with clinical 4D flow MRI data, showcased the immense potential of AI-driven diagnostic tools in revolutionizing patient care.
Research Assistant @ Department of Mechanical Engineering, Ohio University, OH, USA (2015-Mar 2020)
Throughout my doctoral studies at Ohio University, I played a pivotal role in advancing the understanding of particle-laden flows and complex fluid dynamics. By developing customized Particle Image Velocimetry (PIV) and Particle Tracking Velocimetry (PTV) systems, I investigated the behavior of rigid particles in shear flows of Newtonian and yield-stress fluids. Additionally, I made significant contributions to the development of numerical simulations using the Immersed Boundary Method (IBM), collaborating with esteemed researchers such as Professor Luca Brandt from KTH Royal Institute of Technology.
Research Assistant @ Department of Mechanical Engineering, Shiraz University, Shiraz, Iran (2007-2014)
During my undergraduate and graduate studies at Shiraz University, I laid the foundation for my expertise in computational methods and fluid dynamics. Through projects involving transonic compressor rotor simulations, auto-ignition processes, and microchannel water-gas shift surface reactors, I honed my skills in CFD modeling and numerical simulations. These early experiences sparked my passion for leveraging computational tools to address complex engineering challenges.
Across these diverse roles and projects, I have consistently demonstrated my ability to drive innovation, develop novel computational frameworks, and bridge the gap between simulations and real-world applications. As I continue to push the boundaries of CFD, AI, and biomedical sciences, I remain committed to leveraging my expertise to create transformative solutions that address the most pressing challenges faced by industries and communities worldwide.