Research Output per year
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.
Profiles
Hussain Al-Aqrabi
- Department of Computer Science - Research Fellow
- School of Computing and Engineering
- Centre for Industrial Analytics
Person: Academic
Jennifer Carter
- Department of Computer Science - Subject Area Leader
- School of Computing and Engineering
- Centre for Industrial Analytics
Person: Academic
Minsi Chen
- Department of Computer Science - Senior Lecturer in Games Programming
- Centre for Industrial Analytics
- School of Computing and Engineering
Person: Academic
Research Output 2017 2019
A Multi-layer Security Model for 5G-enabled Industrial Internet of Things
Al-Aqrabi, H., Pulikkakudi Johnson, A., Hill, G., Lane, P. & Liu, L., 17 Aug 2019, (Accepted/In press) 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. Springer International Publishing AG, 14 p. (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Hardware
Cloud computing
Authentication
Field programmable gate arrays (FPGA)
Throughput
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 journal › Article
Uninorm
Association rules
Confidence
Frequent Itemsets
Association Rule Mining
A road map for digital forensics research: a novel approach for establishing the design science research process in digital forensics
Montasari, R., Carpenter, V. & Hill, R., Jun 2019, In : International Journal of Electronic Security and Digital Forensics. 11, 2, p. 194-224 31 p.Research output: Contribution to journal › Article
Computer forensics
research process
science
Standardization
research method
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 types › Membership of a panel