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@et-dagen @MTELSYS

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ipeglin/README.md

Ian Philip Eglin

Siv.ing. in Electronics Engineering, NTNU

Data-Adaptive Time-Frequency Analysis of fMRI BOLD Signals in Anhedonia

Currently exploring video encoding solutions as an R&D Engineer @ Appear ASA.

Technical Expertise

Core Competencies:

  • Signal Processing & Medical Imaging
  • Full-Stack Web Development
  • Systems Programming
  • Embedded Systems

Technologies:

  • Languages: Python, TypeScript/JavaScript, Rust, C++, MATLAB
  • Frameworks: React, Next.js, Node.js, Express
  • Databases: PostgreSQL, MongoDB
  • Tools: Docker, Git, OpenCV, scikit-learn

Notable Projects

  • Kefli - Rust crate implementing consensus-based auction algorithms (CBAA/CBBA) for distributed task allocation in multi-agent systems
  • Elevator Control Systems - Distributed elevator management system implementing real-time coordination algorithms
  • WaveFormsTk - Python toolkit for enhanced visualization of Analog Discovery oscilloscope measurements
  • Medical Imaging Projects - Computed tomography reconstruction and analysis tools for biomedical applications

Current Work

  • Master's Specialisation Project (NTNU): Advanced signal processing research in biomedical engineering as part of final year electronics engineering studies

Contact

Email: philip@eglin.no
LinkedIn: linkedin.com/in/ipeglin
StackOverflow: stackoverflow.com/users/ipeglin

Popular repositories Loading

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    Nix packages + NixOS module for the ArtCraft apps (storytold), every release verified and mirrored

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    Data-adaptive mode decomposition and analysis of multichannel signals (fMRI, EEG), with a Rust core, a Python package and a command line

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    DCST1003: Fundemental programming - JavaScript

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