Digital Technologies and Artificial Intelligence Research

Overview

Digital Technologies and Artificial Intelligence research at the University of Lancashire is led primarily through the Future Digital Technology Institute (FDTI) and the John Tyndall Institue (JTI). Research addresses the development of intelligent, secure and human-centred digital systems that support industry, healthcare, education, business and society.

The LinkedIn Group Computing has been created to connect the people interested in the computing field. You can also link to the LinkedIn profile Computer Scientist.

        Research Vision: To develop innovative digital
        technologies and artificial intelligence solutions that improve
        productivity, wellbeing, safety and sustainability while supporting
        responsible and ethical innovation.
    

Research Themes

Artificial Intelligence

Machine learning, deep learning, explainable AI and intelligent decision-support systems.

Computer Vision

Image processing, pattern recognition, biometrics, video analytics and autonomous visual systems.

Cyber Security

Digital forensics, cyber defence, network security, privacy and threat intelligence.

Data Science and Analytics

Big data, predictive modelling, business intelligence and data-driven decision making.

Internet of Things (IoT)

Smart devices, connected systems, sensors and industrial digital transformation.

Immersive Technologies

Virtual reality, augmented reality, digital twins and interactive environments.

Research Facilities

Imaginarium Innovation Laboratory
Engineering Innovation Centre (EIC)
Computer Vision Research Laboratories
High Performance Computing Resources
Cyber Security and Networking Laboratories
Artificial Intelligence Development Platforms
Data Analytics and Visualisation Facilities
Virtual and Augmented Reality Environments

        Researchers work in multidisciplinary teams using advanced computing,
        simulation and digital innovation facilities to develop solutions for
        real-world challenges.
    

Industry and Research Collaboration

The University collaborates with industry, public-sector organisations, healthcare providers and international research partners to develop and deploy emerging digital technologies.

Artificial intelligence applications
Machine learning and IoT systems
Digital health technologies
Cyber security innovation
Smart manufacturing and Industry 4.0
Computer vision and automation
Digital twin technologies

Research Impact

Digital technologies research contributes to advances in healthcare, manufacturing, business intelligence, public services, education and cybersecurity. Research outcomes help organisations adopt innovative, secure and data-driven approaches to digital transformation.

Improving cyber resilience
Enhancing healthcare technologies
Supporting Industry 4.0 innovation
Advancing AI-enabled decision making
Developing digital skills and capabilities
Promoting responsible AI adoption

        Research aligns with national and international priorities in
        artificial intelligence, digital transformation, cyber security
        and sustainable technological innovation.
    