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Achievements

Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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thomasnapier/README.md

Hi 👋, I'm Thomas NapierProfile Hits

About Me

I am a final-year PhD candidate, Researcher and IT Educator at James Cook University. I enjoy turning complex real-world problems into elegant, scalable solutions. My work spans research, education, and software development with a focus on machine learning, augmented reality and bio/ecoacoustics.

Languages/Frameworks I'm good at:

Python JavaScript C# CSS 3 HTML 5 TensorFlow PyTorch Django Flask Unity GitLab LaTeX

Languages/Frameworks I'm familiar with:

Java Express.js Linux R Jupyter Notebook Ubuntu Apple ARKit

Languages/Frameworks I'm learning:

Electron Express TypeScript AWS Docker

Environments I work with:

GitHub Android Studio PyCharm Visual Studio Code Sublime Text Ubuntu

🔬 Research

Current Focus Areas:

  • LEAVES: A tool for rapid annotation and visualization of large-scale ecoacoustic data using machine learning and unsupervised segmentation techniques. Check it out.
  • Unsupervised soundscape segmentation: Exploring clustering and dimensionality reduction techniques (e.g., UMAP) to segment natural soundscapes into biophony, geophony, and anthrophony/technophony. Check it out.
  • Adaptive temporal windowing: Investigating the automatic discovery of optimal temporal windows which better represent underlying signals of interest as opposed to fixed-size windows.

📫 How to Reach Me

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  1. LEAVES LEAVES Public

    Streamline your ecoacoustic analysis with LEAVES, offering advanced tools for large-scale soundscape annotation and visualization. Join researchers and citizen scientists using LEAVES to analyze co…

    Python 21 2

  2. unsupervised-soundscape-segmentation unsupervised-soundscape-segmentation Public

    Code & Data Repository of the paper "An Efficient Pipeline for the Unsupervised Segmentation of Heterogeneous Natural Soundscapes" (Submitted to Ecological Informatics)

    Jupyter Notebook 1

  3. adaptive-ecoacoustic-windowing adaptive-ecoacoustic-windowing Public

  4. AudioHandling AudioHandling Public

    Python

  5. TFLite-Image-Classification-App TFLite-Image-Classification-App Public

    Java

  6. ARCore-Measurement ARCore-Measurement Public

    Java