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Arviin/README.md

Hi there 👋

I'm Arvin (Fazel) Mirzaei, and I’m fascinated by how waves-particles interact with matter.

That curiosity has led me to work at the intersection of experimental physics, computational imaging, material characterization, and data-driven analysis — particularly using X-ray and neutron scatetring techniques.

Most of what you’ll find here revolves around:

  • Turning complex physical interactions into structured data
  • Extracting microstructural information from 3D imaging
  • Building physics-aware machine learning tools

I like bridging experiment, theory, and computation.

Pinned Loading

  1. MachineLearningRecepies MachineLearningRecepies Public

    In this repo, I have added some recepies for performing classic ML algorithms

    Jupyter Notebook

  2. HOP-ODF HOP-ODF Public

    Synthetic visualization of Hermans Orientation Parameter (HOP) and Orientational Distribution Function (ODF).

    Python

  3. xct-nct-joint-space-segmentation xct-nct-joint-space-segmentation Public

    Unsupervised analysis of co-registered X-ray computed tomography (XCT) and neutron computed tomography (NCT) data using their joint information space.

    Python

  4. neutron-gamma-removal neutron-gamma-removal Public

    Robust gamma-spot detection and removal pipeline for neutron transmission imaging.

    Python