Research Works

Where our research lives

Our focus areas and a running record of what we've finished and what's currently in progress.

Focus Areas

Ten areas, one lab

Artificial Intelligence

Explainable models for decisions that affect real people.

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Machine Learning

Predictive systems trained on messy, real-world data.

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Data Science & Analytics

Turning complex datasets into evidence, insights, and practical decisions.

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Data Engineering

Building reliable data pipelines and infrastructure for research and intelligent systems.

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Health & Biomedical Computing

Applying computational methods to health, medicine, and biomedical research challenges.

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Computational Pharmacology

Using computational and AI methods to investigate drugs, biological targets, and therapeutic risks.

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Intelligent Systems

Designing intelligent systems that learn, reason, adapt, and support complex human decisions.

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Software Engineering

Researching robust, scalable, maintainable software for real-world applications.

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Process Automation

Using software and intelligent technologies to improve workflows, efficiency, and service delivery.

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Digital Education

Exploring technology-enabled approaches to teaching, learning, assessment, and academic collaboration.

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Internet of Things

Connecting devices, sensors, and intelligent systems to collect and respond to real-world data.

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Cybersecurity & Digital Trust

Investigating secure technologies, privacy, resilience, and trustworthy digital systems.

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Applied Research & Innovation

Translating research findings into practical technologies, tools, and solutions with measurable impact.

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Research Works

Finished and ongoing projects

2025

PolyPharmGuard: Explainable Polypharmacy Risk Detection

An AI-driven system that flags risky drug combinations and explains why, per patient.

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2024

Adaptive Learning Pathways

A recommendation engine that reorders coursework based on live learner performance.

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Artificial Intelligence

Fairness Auditing for Clinical Models

Testing model outputs across patient subgroups for hidden bias.

70% complete · Expected Q1 2027 Ask About This
Digital Education

Offline-First Learning Companion

A learning tool built for classrooms with unreliable connectivity.

45% complete · Expected Q3 2026 Ask About This

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We regularly partner with institutions, industry, and postgraduate researchers.

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