Artificial Intelligence and Data Science research
Exploring practical applications of AI and data science for solving business problems and societal challenges
AI and Data Science are rapidly advancing fields in the continually evolving research and innovation landscape of today's dynamic and data-driven world. These two intertwined disciplines have sparked a technological revolution that is reshaping the way we live, work, and interact.
Our research in AI and Data Science focuses on the development of computational paradigms, methods, and algorithms and their applications to a wide range of cross-disciplinary problem domains, including health and wellbeing, digital marketing and consumer behaviour prediction, robotics, cyber security and education.
The applied focus of our work means that we are very keen to explore partnerships with end users of technology to create lasting impact in the economy and society. Many of our research projects are carried out in collaboration with health care organisations, government departments, and industry, including Knowledge Transfer Partnerships.
Our research covers the following topics
- Computer vision and image processing
- Consumer behaviour prediction and digital marketing
- Deep learning
- Data visualisation
- Distributed and adversarial machine learning
- Education technologies
- Natural language processing
- Multi-tenancy databases
Methods and facilities
Our research makes use of a wide range of computational and analytical tools from classic AI algorithms to recent developments such as deep learning techniques. The School also benefits from state of the art facilities including:
- SCIAMA Supercomputer with dedicated GPU nodes for performing intensive machine learning and data analytics tasks
- IBM PowerAI Vision system with 2 Nvidia Tesla V100 GPUs for advanced image processing
Partnerships and funding
Some of our partners include:
- Portsmouth Hospitals University Trust
- University of Oxford
- University of Southampton
- Fresh Relevance
- Bohunt Education Trust
- NATO
- Hobbs Rehabilitation
- Bournemouth University
- TCL Globals
Recent project highlights include
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AiBle: An upper-limb rehabilitation exoskeleton robot based on AI and cloud computing
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Deep Learning Models for Fetal Monitoring and Decision Support in labour
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Safer and more efficient vital signs monitoring to identify the deteriorating patient: An observational study towards deriving evidence-based protocols for patient surveillance on the general hospital ward
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A KTP to create intelligent sensors with TGA Industries and Gem Sensors and Controls
Our members
Dr Farzad Arabikhan
Dr Mohamed Bader-El-Den
Dr Alexander Gegov
Dr Matt Dennis
Dr Ella Haig
Dr Ivan Jordanov
Professor Zhaojie Ju
Dr Rinat Khusainov
Professor Honghai Liu
Dr Alaa Mohasseb
Dr Olumuyiwa Matthew
Dr Rahim Taheri
Dr Linda Yang
Dr Dalin Zhou
Discover our areas of expertise
Computational intelligence is one of our areas of expertise in Computing – explore the other areas below.
Cyber Security and Forensics
We're exploring solutions to emerging cyber security challenges and dealing with crime in the cyberspace
Health and Wellbeing Technologies
We're improving the design of computer systems and wellbeing services to make the delivery of healthcare more efficient and cost-effective, and we're exploring how technology can influence lifestyle choices and reduce health risks.
Robotics
Our research is exploring the use of robotics and advanced sensor technologies for rehabilitation, diagnostics, and assisted living applications
Interested in a PhD in Computing?
Browse our postgraduate research degrees – including PhDs and MPhils – at our Computing & Information Systems and Health Informatics postgraduate research degree pages.