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
Computer forensics Engineering & Materials Science
Competitive intelligence Engineering & Materials Science
Pulse amplitude modulation Engineering & Materials Science
Visualization Engineering & Materials Science
Distance education Engineering & Materials Science

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

Research Output 2017 2019

Application of uninorms to market basket analysis

Moodley, R., Chiclana, F., Caraffini, F. & Carter, J., Jan 2019, In : International Journal of Intelligent Systems. 34, 1, p. 39-49 11 p.

Research output: Contribution to journalArticle

Uninorm
Association rules
Confidence
Frequent Itemsets
Association Rule Mining
Computer forensics
research process
science
Standardization
research method

Countermeasures for timing-based side-channel attacks against shared, modern computing hardware

Montasari, R., Hill, R., Hosseinian-far, A. & Montaseri, F., 1 Jul 2019, In : International Journal of Electronic Security and Digital Forensics. 11, 3, p. 294-320 27 p.

Research output: Contribution to journalArticle

hardware
Hardware
compromise
vulnerability
threat

Projects 2019 2019

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