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.

Fingerprint Dive into the research topics where Centre for Industrial Analytics is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Authentication Engineering & Materials Science
Industry Engineering & Materials Science
Hardware Engineering & Materials Science
Visualization Engineering & Materials Science
Internet of things Engineering & Materials Science
Computer forensics Engineering & Materials Science
Uninorm Mathematics
Volume rendering Engineering & Materials Science

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

Research Output 2017 2020

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

Internet of Things
Security Model
Secure Communication
Open Access
Volume rendering

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

Abdelrahman, R. B., Al-Aqrabi, H. & Hill, R., 6 Dec 2019, Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health: International 2019 Cyberspace Congress, CyberDI and Cyberlife, Beijing, China, December 16-19, 2019, Proceedings, Part 11. Ning, H. (ed.). 1st ed. Springer Singapore, p. 149-168 20 p. (Communications in Computer and Information Science; vol. 1138).

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

Linear Temporal Logic
Temporal logic
Concurrent Systems

Projects 2019 2019

Activities 2018 2019

  • 2 Invited talk
  • 1 Membership of a panel

Keynote: Realising Smart Manufacturing with the Industrial Internet of Things

Richard Hill (Speaker)
14 Nov 2019

Activity: Talk or presentation typesInvited talk

Securing Business Intelligence for the Industrial Internet of Things

Richard Hill (Speaker)
16 Jan 2019

Activity: Talk or presentation typesInvited talk

SmartWorld 2018: The 4th IEEE Smart World Congress (Event)

Richard Hill (Member)
10 Oct 2018

Activity: Membership typesMembership of a panel