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Paul N. T. Ammah

Paul N. T. Ammah

Paul N. T. Ammah: Lecturer, Department of Computer Science, University of Ghana

Faculty Researcher, Department of Computer Science

Biography

Paul N. T. Ammah is a Faculty Researcher at DRAKA Labs whose research interests span Machine Learning, Software Engineering and Signal Processing. His research interests create an interdisciplinary connection between intelligent computational methods, software development and the processing and analysis of signals and digital information.

His published work includes applications of computational techniques to medical image analysis and medical image compression, including mobile image analysis for human intestinal worm detection and wavelet-transform-based medical image compression.

Within DRAKA Labs, his expertise contributes to research and student development in machine learning, software engineering, signal and image processing, and the development of computational solutions for real-world applications.

Research interests

  • Machine Learning
  • Software Engineering
  • Signal Processing

Applied domains

  • Medical Image Analysis
  • Medical Image Compression
  • Mobile Applications
  • Digital Health
  • Intelligent Systems

DRAKA Labs responsibilities

  • 01Machine Learning
  • 02Software Engineering
  • 03Signal Processing
  • 04Applied Computing
  • 05Research project development
  • 06Student research
  • 07Software development
  • 08Interdisciplinary research
  • 09Research publication
  • 10Applied computational research

Selected publications

  • Journal article · 2026

    An Exploratory Study of ResNet and Capsule Neural Networks for Brain Tumor Detection in MRI

    medRxiv, 2026.02. 05.26345460, 2026

  • Journal article · 2022

    Primary Mobile Image Analysis of Human Intestinal Worm Detection

    International Journal of System Dynamics Applications (IJSDA) 11 (1), 1-16, 2022

  • Journal article · 2019

    Robust medical image compression based on wavelet transform and vector quantization

    Informatics in medicine unlocked 15, 100183, 2019

All publications