Active Direction
AI-Based Health Signal Analysis
Machine learning and deep learning models for physiological and biomedical signal interpretation.
Research · Development · Training · Collaboration
HUMACH Research
Human-centered Ubiquitous Machine intelligence for Advanced Computing and Health
A computer-science research and innovation group connecting human insight, intelligent systems, practical software development, health technology, and student training.
HUMACH Operating Model
Research-to-impact pipeline
01Problem discovery
02Research modelling
03Prototype development
04Publication & deployment
05Training & collaboration
01
Research
AI, machine learning, data science, biomedical computing, and intelligent systems.
02
Development
Web tools, dashboards, research software, prototypes, and deployable systems.
03
Internships
Research training, development training, thesis topics, and guided student projects.
04
Outputs
Projects, publications, datasets, software tools, and collaborative deliverables.
HUMACH
Human-centered intelligence for real-world systems
What is HUMACH?
A research group designed around people, machines, computing, and health impact.
HUMACH Research stands for Human-centered Ubiquitous Machine intelligence for Advanced Computing and Health. The group is designed as a modern research and development environment where computer science, AI, software engineering, health technology, and training pathways connect in one ecosystem.
HHuman-centered
UUbiquitous
MMachine intelligence
AAdvanced
CComputing
HHealth
Research
Core Research Areas
Machine Learning & Data Science
Predictive modelling, classification, feature engineering, explainability, and data-driven decision support.
MLAnalyticsXAI
Deep Learning & Multimodal AI
Representation learning from signals, text, images, graphs, and multimodal research datasets.
DLGNNMultimodal
Biomedical & Health AI
AI systems for physiological signals, sleep analysis, health monitoring, and clinical decision support.
HealthSignalsSleep
NLP, Generative AI & Agents
Language AI, domain assistants, research automation, responsible generation, and agentic workflows.
NLPGenAIAgents
Software Engineering Research
Human-centered software systems, web platforms, research tools, automation, and applied development practices.
SoftwareWebTools
AI for Education & Training
Student-centred learning systems, intelligent tutors, assessment support, and research-skill development.
EducationTrainingLearning
Development
What HUMACH Builds
Research + Software
Turning ideas into usable systems.
HUMACH should not only publish research; it should also build tools, prototypes, dashboards, workflows, and software systems that can support researchers, students, and collaborators.
Research Dashboards
Interactive views for data, results, experiments, and project progress.
AI Prototypes
Applied models, assistants, pipelines, and intelligent decision systems.
Data Pipelines
Reusable workflows for preprocessing, analysis, validation, and reporting.
Open Tools
Reusable codebases, templates, packages, and documentation for teams.
Projects
Featured Project Directions
Recruiting
Research Dashboard Platform
A web-based system for managing datasets, experiments, results, papers, and team outputs.
Concept
AI Research Assistant Workflows
Responsible AI tools for literature review, summarisation, coding support, and research documentation.
Opportunities
Join, Learn, Build, Publish
Research Internship
For students interested in AI, data science, biomedical AI, NLP, or applied computing research.
- Literature review
- Experiments and evaluation
- Paper and report writing
Development Internship
For students interested in web systems, dashboards, automation tools, databases, and AI prototypes.
- Frontend/backend practice
- Project-based learning
- GitHub portfolio building
Collaboration
For researchers, universities, student teams, and partners interested in applied AI and computing projects.
- Joint research
- Software prototypes
- Student supervision
Publications
Selected Output Preview
Future
Journal and conference publications will be listed here.
Each item should later include title, authors, venue, year, DOI, paper link, code link, and related project.
Data
Publication data should eventually come from a JSON file.
This will make it easier to add new papers without rewriting the page design.
Team
People Behind HUMACH
Research Lead
Research direction, supervision, publications, and collaborations.
Researchers & Collaborators
Contributors working on AI, data science, biomedical computing, and applied projects.
Interns & Students
Future members will be presented through structured profile cards and research interests.
News
Updates and Announcements
HUMACH data-driven website structure created
The website now includes structured JSON files for future content updates.
Collaborate With HUMACH
Build research, software, and training pathways with real-world value.
HUMACH Research welcomes students, developers, researchers, supervisors, universities, and external collaborators interested in computer-science-driven impact.