Robot being fixed by computer engineer

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

Our members

Farzad Arabikhan Portrait

Dr Farzad Arabikhan

Senior Lecturer

farzad.arabikhan@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Alexander Emilov Gegov Portrait

Dr Alexander Gegov

Associate Professor in Computational Intelligence

Alexander.Gegov@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Matthew Gordon Dennis Portrait

Dr Matt Dennis

Associate Head (Student Experience)

matthew.dennis@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Mihaela Haig Portrait

Dr Ella Haig

Associate Professor in Artificial Intelligence

ella.haig@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Ivan Nikolov Jordanov Portrait

Professor Ivan Jordanov

Professor of Computational Intelligence

Ivan.Jordanov@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Zhaojie Ju Portrait

Professor Zhaojie Ju

Professor of Machine Learning and Robotics

Zhaojie.Ju@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Rinat Khusainov Portrait

Dr Rinat Khusainov

Associate Head (Research and Innovation)

Innovation and Impact Development Manager

Rinat.Khusainov@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Honghai Liu Portrait

Professor Honghai Liu

Professor of Human Machine Systems

Honghai.Liu@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Alaa Ali Ghareeb Mohasseb Portrait

Dr Alaa Mohasseb

Senior Lecturer

alaa.mohasseb@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Rahim Taheri Portrait

Dr Rahim Taheri

Senior Lecturer

rahim.taheri@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Yanyan Yang Portrait

Dr Linda Yang

Senior Lecturer

Linda.Yang@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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Dr Dalin Zhou

Associate Professor in Intelligent Sensing and Rehabilitation

Dalin.Zhou@port.ac.uk

School of Computing

Faculty of Technology

PhD Supervisor

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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

 

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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.

vitality health check
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Robotics

Our research is exploring the use of robotics and advanced sensor technologies for rehabilitation, diagnostics, and assisted living applications

Allison Crowe Photoshoot, July 2019
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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.