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Niloy333/README.md

I am a final-year PhD candidate at Radboud University Medical Center (Nijmegen, the Netherlands) and a Scientific Assistant at Hochschule Rhein-Waal (Kleve, Germany), supervised by Prof. Martin Dresler and Prof. Matthias Krauledat.

I have a background in data science and machine learning. My PhD research at the Donders Sleep & Memory Lab focuses on collecting and processing wearable sleep datasets and analyzing them using various statistical and machine learning methods. I also analyze actigraphy and sleep EEG data to conduct longitudinal analyses, especially between sleep and physical activity. eegFloss and Wearanize+ are among my key outputs.

My broader research interests include machine learning, biomedical data analysis, computer-aided diagnosis (CAD), wearables, and citizen science. I am seeking a postdoctoral research position or an industry role involving data science and machine learning in Germany, starting next year. You can find my updated CV here. If you have a project or position in mind where my skills can be useful, please feel free to reach out via email.

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  1. eegFloss eegFloss Public

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

    Python 15 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 13

  3. Relationship-Subjective-Objective-Sleep-Quality Relationship-Subjective-Objective-Sleep-Quality Public

    Exploring the relationship between subjective and objective sleep quality in two longitudinal datasets focusing on within- and between-subject effects

    Jupyter Notebook

  4. KU-HAR KU-HAR Public

    KU-HAR is a trending human activity recognition dataset.

    Jupyter Notebook 6