Research output per year
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.
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Profiles
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Hussain Al-Aqrabi
- Department of Computer Science - Senior Lecturer in Cyber Security
- School of Computing and Engineering
- Centre for Industrial Analytics - Member
Person: Academic
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Jennifer Carter
- Department of Computer Science - Senior Lecturer
- School of Computing and Engineering
- Centre for Industrial Analytics - Member
Person: Academic
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Minsi Chen
- Department of Computer Science - Senior Lecturer in Games Programming
- School of Computing and Engineering
- Centre for Industrial Analytics - Member
Person: Academic
Research output
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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 proceeding › Conference contribution › peer-review
Open AccessFile3 Citations (Scopus) -
An Analysis on Scrum Methodology in Global Software Development – GSD
Ahmad, A., Lu, J., Wade, S., Hill, R. & McCluskey, L., 30 Nov 2020, (Accepted/In press) The 2020 International Conference on Computational Science and Computational Intelligence (CSCI'20). IEEE, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Best Fit Missing Value Imputation (BFMVI) Algorithm for Incomplete Data in the Internet of Things
Agbo, B., Qin, Y. & Hill, R., 7 May 2020, Proceedings of the 5th International Conference on Internet of Things, Big Data and Security: IoTBDS 2020. Wills, G., Kacsuk, P. & Chang, V. (eds.). SciTePress, Vol. 1. p. 130-137 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access
Projects
- 1 Active
Activities
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An Analysis on Scrum Methodology in Global Software Development – GSD
Areeba Ahmad (Speaker), Joan Lu (Speaker), Stephen Wade (Speaker), Richard Hill (Speaker) & Lee McCluskey (Speaker)
18 Dec 2020Activity: Talk or presentation types › Oral presentation
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Dynamic data visualisation and Information Theory
Minsi Chen (Speaker)
21 Nov 2020Activity: Talk or presentation types › Invited talk
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Performance Evaluation of Multiparty Authentication in 5G IIoT Environments
Hussain Al-Aqrabi (Speaker), Richard Hill (Speaker) & Phil Lane (Speaker)
Dec 2019Activity: Talk or presentation types › Oral presentation