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

Internet of Things Mathematics

Computer forensics Engineering & Materials Science

Uninorm Mathematics

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

Profiles

Hussain Al-Aqrabi

H.Al-Aqrabi@hud.ac.uk

Department of Computer Science - Research Fellow
School of Computing and Engineering
Centre for Industrial Analytics - Member

Person: Academic

Jennifer Carter

J.Carter@hud.ac.uk

Department of Computer Science - Senior Lecturer
School of Computing and Engineering
Centre for Industrial Analytics - Member

Person: Academic

Minsi Chen

M.Chen@hud.ac.uk

Department of Computer Science - Senior Lecturer in Games Programming
Centre for Industrial Analytics - Member
School of Computing and Engineering

Person: Academic

Research Output 2017 2020

18 Conference contribution
8 Article
5 Chapter
2 Book
1 More
- 1 Conference article

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

Internet of Things

Security Model

Multilayer

Hardware

Secure Communication

Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems

Johnson, A., Al-Aqrabi, H. & Hill, R., 5 Feb 2020, In : Sensors. 20, 3, p. 1-19 19 p., 844.

Research output: Contribution to journal › Article

Open Access

Internet

safety

Safety

Equipment and Supplies

hardware

Implementing a Lightweight Cloud-Based Process Monitoring Solution for Smart Agriculture

Clarke, D., Al-Aqrabi, H., Hill, G., Mistry, P. & Lane, P., 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.). 1st ed. Springer Singapore, p. 379-391 13 p. (Communications in Computer and Information Science; vol. 1122 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Process monitoring

Agriculture

Sensors

Microcontrollers

Industrial economics