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Hire Dr. Armin A.

United States

USD 50 /hr

Machine Learning & CFD Expert | AI for Biomedical Imaging & Fluid Mechanics | Data-Driven Modeling & Simulations

Profile Summary

I am a Machine Learning Engineer and Computational Scientist specializing in AI for Biomedical Engineering, Fluid Mechanics, and CFD. With a Ph.D. in Mechanical Engineering and an M.Sc. in Aerospace Engineering, I develop data-driven models and deep learning solutions to tackle complex engineering and healthcare challenges. 🔹 ML Software Developer at Comkardia At Comkardia, I design machine-learning-based physics models to simulate blood flow and estimate FFR (Fractional Flow Reserve) in stenotic regions. My work integrates CFD, AI, and clinical data to improve non-invasive cardiovascular diagnostics. 🔹 Expertise in AI & Computational Modeling I leverage Deep Learning, Computer Vision, and Neural Networks for: ✔ Biomedical Imaging & Diagnostics – Enhancing image resolution, segmentation, and tracking for gene mapping, protein labeling, and clinical applications. ✔ CFD & Fluid Dynamics AI – Developing physics-informed AI models for aerodynamics, biomedical flows, and optimization. ✔ Data Science & Pattern Recognition – Creating AI solutions for feature extraction, localization, and real-time tracking. 🔹 Research & Teaching As a Teaching & Research Assistant at the University at Buffalo, I led projects in Computational Fluid Dynamics, Particle Image Velocimetry, and AI-driven engineering solutions. I am passionate about mentoring, research, and simplifying complex concepts. 💡 What Drives Me? I believe AI and Computational Science have the power to revolutionize engineering, healthcare, and automation. My goal is to bridge machine learning and physics-based modeling to enhance diagnostics, simulations, and decision-making. 🔗 Open to collaborations, consulting, and AI-driven projects in Biomedical Engineering, CFD, and Applied AI.

Subject Matter Expertise

• ☆ Cell Biology
• ☆ Microscopy
• ☆ Fluid Mechanics
• ☆ Computational Fluid Dynamics
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Fluid Dynamics
• ☆ Microfluidics
• ☆ 3D Cell Culture
• ☆ Optics
• ☆ Decision Science
• ☆ Python
• ☆ Matlab
• ☆ Tensorflow
• ☆ LaTex
• ☆ Scikit-learn
• ☆ Medical Imaging/Radiology
• ☆ Computed Tomography (CT)

Services

• Writing
• Research
• Data & AI

Writing Clinical Trial Documentation, Technical Writing

Research Scientific and Technical Research, Systematic Literature Review

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing

Work Experience

AI ML Engineer

Comkardia

June 2024 - Present

Research Assistant

University at Buffalo

August 2018 - Present

Education

PhD

State University of New York College at Buffalo - United States

August 2018 - February 2024

MSc

University of Tehran

September 2012 - September 2014

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Armin Abdehkakha, Seyyed Mohammad Navid Madani, Craig Snoeyink (2025). Enhancing single-molecule localization microscopy with deep learning . Applied Optics.

Armin Abdehkakha, Adam L. Hammond, Tatsat R. Patel, Adnan H. Siddiqui, Gary F. Dargush, Hui Meng (2021). Cerebral aneurysm flow diverter modeled as a thin inhomogeneous porous medium in hemodynamic simulations . Computers in Biology and Medicine.