Research outputs
Papers, reports, datasets, evaluation protocols, and reproducible experiments.
Explore HUMACH project directions across health AI, advanced computing, research tooling, student training, and software development. Each project is designed to connect learning, implementation, publication, and collaboration.
Active, completed, and recruiting projects are organised into one browsable directory.
HUMACH projects are organised as practical pathways where research questions become experiments, development tasks become prototypes, and student participation becomes measurable portfolio evidence.
Papers, reports, datasets, evaluation protocols, and reproducible experiments.
Web tools, dashboards, prototypes, scripts, and open-source-ready assets.
Internship tasks, supervised mini-projects, technical documentation, and portfolio items.
Shared project briefs, team workflows, partner-facing demos, and impact stories.
Research, Development, and Training Projects
Machine learning and deep learning models for physiological, biomedical, and health-related signal interpretation.
A web-based system for managing datasets, experiments, results, papers, team outputs, and project progress.
Responsible AI workflows for literature review, summarisation, coding support, research writing, and documentation.
How a HUMACH project progresses
Clarify the research question, target user, dataset, tool, or learning objective.
Create experiments, prototypes, scripts, dashboards, documentation, or model pipelines.
Test with meaningful metrics, feedback, reproducibility checks, and project review.
Convert work into papers, demos, reports, GitHub repositories, or student portfolios.
Use the opportunities page or the Join HUMACH form to express your research or development interest.