Data to Intelligence Research Centre

High-performance data mining

Mining data, recognising patterns, big data dimensionality reduction and visualisation, clustering and classifying data, modelling interactions and causality to better understand systems and behaviours

Computational diagnostics for intelligent health care

Using advanced methods for non-linear and dynamical signal processing and time series analysis for data-driven modelling of human behaviour, processes of sleep, cardio-respiration, diabetes, mental health, age-related conditions.

Modelling complex systems

Developing advanced mathematical and computational models based on dynamical systems and differential equations, with applications to physiology, health, medicine and defence.

Machine learning

Using and developing complex models, algorithms and machine learning-driven knowledge system development and management to make accurate predictions and obtain meaningful insights from data. Investigating and developing approaches to ensure AI systems behaviour remains beneficial to humanity.

Image recognition

Providing efficient algorithms for recognising objects, text, handwriting, images and videos, with advance noise filtering and image reduction techniques in security and intelligent processes.

Computer vision

Aiming to leverage information about the context of acquisition and the image formation process to develop methods, algorithms and techniques for processing visual and multimodal data, requiring the least amount of user intervention possible.

Discrete and continuous optimisation

Providing solutions to large-scale complex problems, such as timetabling, resource allocation, scheduling in the manufacturing industry, facility location planning and supply chain and logistics.

Decision sciences and fuzzy systems

Advanced multicriteria decision-making methods based on cooperative games, non-linear integrals and fuzzy systems.

Graph theory and discrete geometry

Smart city-based traffic network

Developing index techniques and algorithms to manage traffic network data and supporting advanced city planning and scheduling in complex scenarios.

Smart e-business-driven social network

Developing novel social computing models and algorithms for innovating the online advertisement strategies and tracking the evolving changes in social media trends.

Smart biotechnology information network

Designing the AI-powered modern database system to build the bio-information knowledge graph and innovate the lifecycle of health ecosystems.