プロフィール詳細

プロジェクトを作成

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Dr. Armin A.に依頼

United States

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

プロフィール概要

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.

専門分野

• ☆ Cell Biology
• ☆ Microscopy
• ☆ Mechanical Engineering
• ☆ Engineering Thermodynamics/Thermophysical Engineering
• ☆ Fluid Mechanics
• ☆ Computational Fluid Dynamics
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ 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)

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Clinical Trial Documentation, Technical Writing

Research Meta-Research, Scientific and Technical Research, Systematic Literature Review

Consulting Business Strategy Consulting, Healthcare Consulting, Scientific and Technical Consulting, Manufacturing Consulting

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

職務経験

Algorithm Developer

META Reality Lab

10月 2025 - 現在

Research Assistant

University at Buffalo

8月 2018 - 現在

AI ML Engineer

Comkardia

6月 2024 - 10月 2025

学歴

PhD

State University of New York College at Buffalo - United States

8月 2018 - 2月 2024

MSc

University of Tehran

9月 2012 - 9月 2014

認定資格

• 認定資格の詳細は未入力です。

出版物

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.