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Niloy333/README.md

I am a researcher in the Digitalisierungstechnik (DT) department at the Leibniz-Institut für Werkstofforientierte Technologien (IWT) in Bremen. My current research focuses on using explainable machine learning (ML) models to identify process–structure–property relationships across different materials. I am also developing a framework to catalog available materials datasets at IWT and prepare them for ML application development. Additionally, I am setting up a new high-performance computing (HPC) cluster at IWT-DT.

Previously, I was a PhD candidate at Radboud University and a Scientific Assistant at Hochschule Rhein-Waal. My research at the Donders Sleep & Memory Lab focused on collecting and analyzing large-scale sleep datasets using statistical and ML methods. Wearanize+ and eegFloss are among my key outputs.

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  1. eegFloss eegFloss Public

    A Python package to automatically identify artifacts in sleep EEG signals and detect data usability for sleep autoscoring

    Python 20 1

  2. Wearanize_plus Wearanize_plus Public

    Wearanize+ is a multimodal sleep dataset containing overnight sleep data from 130 young, healthy participants using PSG and three wearables

    Python 28

  3. KU-HAR KU-HAR Public

    KU-HAR is a trending human activity recognition dataset.

    Jupyter Notebook 7

  4. Tabs-in-Proton-Docs Tabs-in-Proton-Docs Public

    A browser extension to (visually) add multiple tabs in a single Proton Docs document.

    JavaScript