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 The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Industry Engineering & Materials Science
Authentication Engineering & Materials Science
Competitive intelligence Engineering & Materials Science
Computer graphics Engineering & Materials Science
Application programming interfaces (API) Engineering & Materials Science
Teaching Engineering & Materials Science
Navigation Engineering & Materials Science
Hardware Engineering & Materials Science

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Research Output 2017 2019

Securing Manufacturing Business Intelligence for the Industrial Internet of Things

Hill, G., Al-Aqrabi, H., Lane, P. & Aagela, H., 22 Jan 2019, (Accepted/In press) Fourth International Congress on Information and Communication Technology. Springer Verlag, 16 p. 174

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

Competitive intelligence
Intellectual property
Internet of things

Are Timing-Based Side-Channel Attacks Feasible in Shared, Modern Computing Hardware?

Montasari, R., Hosseinian-far, A., Hill, R., Montaseri, F., Sharma, M. & Shabbir, S., 24 Apr 2018, In : International Journal of Organizational and Collective Intelligence. 8, 2, p. 32-59 28 p., 3.

Research output: Contribution to journalArticle

Open Access
Side channel attack

A Scalable Model for Secure Multiparty Authentication

Hill, R. & Al-Aqrabi, H., 4 Dec 2018, Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018. Wang, G., Han, Q., Bhulyan, M. Z. A., Ma, X., Loulergue, F., Li, P., Roveri, M. & Chen, L. (eds.). IEEE Computer Society, p. 17-22 6 p. 8560017

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

Open Access
Cloud computing
Access control
Computer hardware
Sensor networks

Activities 2018 2018

  • 1 Membership of a panel

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

Richard Hill (Member)
10 Oct 2018

Activity: Membership typesMembership of a panel