Organization profile

Profile Information

The Centre for Industrial Analytics (CFIA) is at the forefront of applied research into the visualisation and comprehension of complex data.

Our research is firmly rooted in the challenges faced by industry, delivering significant impact to a range of different businesses.

Drawing together research capabilities from the Industrial Internet of Things, Artificial Intelligence, predictive analytics, behavioural science, condition monitoring and advanced visualisation technologies, we provide new knowledge to support the comprehension of complex, fast-moving sources of data.

We help companies diagnose and fix inefficiencies, provide intelligence about new market opportunities, and coach individuals through the challenging path of new technology adoption.

Our multi-disciplinary ethos enables us to engage with all aspects of evidence-based business transformation, through open data and hardware, advanced visualisation technologies, High Performance and Cloud Computing, organisational psychology and design for understanding.

As the production of data within industry continues to accelerate, the Centre for Industrial Analytics plays a critical role in educating tomorrow's professionals through its links with undergraduate and postgraduate courses.

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  • Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output

    A Multi-layer Security Model for 5G-Enabled Industrial Internet of Things

    Al-Aqrabi, H., Pulikkakudi Johnson, A., Hill, G., Lane, P. & Liu, L., 6 Jan 2020, Smart City and Informatization: 7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings. Wang, G., El Saddik, A., Lai, X., Martinez Perez, G. & Choo, K-K. R. (eds.). 1 ed. Springer Singapore, p. 279-292 14 p. (Communications in Computer and Information Science; vol. 1122 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 3 Citations (Scopus)

    Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems

    Johnson, A., Al-Aqrabi, H. & Hill, R., 5 Feb 2020, In : Sensors. 20, 3, p. 1-19 19 p., 844.

    Research output: Contribution to journalArticle

    Open Access
  • 1 Citation (Scopus)

    Digital Forensic Investigation of Internet of Things (IoT) Devices

    Montasari, R., Jahankhani, H., Hill, R. & Parkinson, S., 2020, 1st ed. Springer Nature Switzerland AG. 335 p. (Advanced Sciences and Technologies for Security Applications)

    Research output: Book/ReportBook

  • Projects


    • 5 Oral presentation
    • 2 Invited talk
    • 1 Participating in a conference, workshop, ...
    • 1 Membership of a panel

    International Conference on Cyberspace Data and Intelligence 2019

    Richard Hill (Chair)

    Dec 2019

    Activity: Participating in or organising an event typesParticipating in a conference, workshop, ...

    An efficient concurrent system networking protocol specification and verification using linear temporal logic

    Ra-ed Bani Abdelrahman (Speaker), Hussain Al-Aqrabi (Speaker) & Richard Hill (Speaker)

    Dec 2019

    Activity: Talk or presentation typesOral presentation

    Performance Evaluation of Multiparty Authentication in 5G IIoT Environments

    Hussain Al-Aqrabi (Speaker), Richard Hill (Speaker) & Phil Lane (Speaker)

    Dec 2019

    Activity: Talk or presentation typesOral presentation