Organisation profile
Organisation profile
At the School of Computing, we seek to solve society's challenges by researching new computing technologies and collaborating with private and public sector partners to apply those technologies.
Computer science is vital for the future of our society, and the computing innovations developed by our researchers have improved and saved lives.
In a cross-discipline effort, we created a new user-friendly control, navigation and communication system for powered wheelchairs. With a built in, interactive AI, this development has improved the lives of wheelchair users, many of whom now have an opportunity for independent mobility, some for the first time.
We're engaged in cross-disciplinary research through our Centre for Healthcare Modelling and Informatics. We're using our information systems and computer science expertise to make the day-to-day jobs involved in healthcare delivery and administration easier. We've also collaborated with the University of Southampton and the University of Oxford to improve NHS and social care services across the country.
Our work with the Royal College of Physicians has set a new standard for assessing the severity of acute illness (known as the "National Early Warning Score" or NEWS). This process is now used by 100% of paramedics and 76% of hospitals across NHS England. We're ranked as the leading computing school amongst young universities, and 100% of our impact has been rated as outstanding or as being very considerable in terms of reach and significance (REF 2014).
We've received research funding from the Economic and Social Research Council, Innovate UK, Portsmouth Hospitals NHS Trust, UK Space Agency, European Commission, Engineering and Physical Sciences Research Council, Welcome Trust, Ministry of Defence, Ufi Charitable Trust, National Institute for Health Research, British Academy, Health Innovation Challenge Fund, British Council, Royal Academy of Engineering, Technology Strategy Board and Portsmouth City Council.
Our areas of expertise include:
- Clinical outcome modelling
- Computational intelligence
- Cyber security
- Systems and information systems
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 5 Gender Equality -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
Profiles
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Valentin Adamescu
- Faculty of Technology, School of Computing - Senior Teaching Fellow
Person: Academic
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A digital twin framework for predicting and simulating type 2 diabetes onset using retrospective lifestyle data
Kiran, M., Xie, Y., Ball, G., Schutte, R., Anjum, N. & Pierscionek, B. K., 5 Mar 2026, In: Frontiers in Digital Health. 8, 30 p., 1710829.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Adversarial Example Detection and Mitigation Using Machine Learning
Nowroozi, E. (Editor), Taheri, R. (Editor) & Cordeiro, L. (Editor), 22 Jan 2026, 1st ed. Springer Cham. 304 p.Research output: Book/Report › Book
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Adversarial threats to digital twin technology: a taxonomy of vulnerabilities and attack surfaces
Anjum, N., Kiran, M., Alam, A., Khan, J., Kanta, K., Adda, M. & Elboghdadly, T., 22 Jan 2026, Adversarial Threats to Digital Twin Technology: A Taxonomy of Vulnerabilities and Attack Surfaces. Nowroozi, E., Taheri, R. & Cordeiro, L. (eds.). 1st ed. Springer Cham, p. 111-124 14 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
Student theses
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The National Early Warning Score (NEWS) - using Mathematical Analysis of Trends in Clinical Data and Outcomes to Improve Predictive Performance and Measures of Clinical Impact
Ehmann, R. A. (Author), Briggs, J. (Supervisor), Prytherch, D. (Supervisor) & Haig, E. (Supervisor), 25 Mar 2026Student thesis: Doctoral Thesis
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Leveraging NLP and Machine Learning to Explore Student Experiences During and After the COVID-19 Pandemic
Hayat, F. I. (Author), Haig, M. (Supervisor) & Mohasseb, A. A. G. (Supervisor), 13 Mar 2026Student thesis: Doctoral Thesis
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Data-enabled Responses to Strengthen Health System Preparedness for Emerging Infectious Diseases in Developing Countries
Khalil, S. M. (Author), Briggs, J. (Supervisor) & Nakkas, H. (Supervisor), 5 Mar 2026Student thesis: Doctoral Thesis
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Datasets
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Dataset: In situ absorption and attenuation coefficients measured in the Barents Sea during January 2018, as part of cruise HH180101
McKee, D. (Creator), Kostakis, I. (Creator) & Röttgers, R. (Data Collector), British Oceanographic Data Centre, 22 Jan 2020
DOI: 10/dj87
Dataset
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Dataset: In situ absorption and attenuation coefficients measured in the Barents Sea during spring 2018, as part of Arctic PRIZE, Changing Arctic Ocean cruise HH180423.
McKee, D. (Creator), Kostakis, I. (Creator) & Röttgers, R. (Data Collector), British Oceanographic Data Centre, 22 Jan 2020
DOI: 10/dj89
Dataset
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Dataset for 'Recommendations for securing Internet of Things devices using commodity hardware.'
Scott, M. (Creator), Ossont, S. (Creator) & Cox, S. J. (Creator), University of Southampton, 11 Nov 2016
Dataset
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Shear Smart, AI-Powered Decisions for Soil Element Testing (HEIF 25/26)
Rouholamin, M. (PI), Ali, M. (CoI) & Bader-El-Den, M. (CoI)
21/10/25 → 31/07/26
Project: Innovation
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KTP Citizens Advice Arun and Chichester £235,516,57
Sekhon, J. (CoI), Haig, E. (PI) & Khusainov, R. (CoI)
3/03/25 → 1/05/27
Project: Innovation
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KTP - Integrating Advanced AI and Dynamic Scheduling for Optimal Large-Scale Automotive Repair Operations
Bader-El-Den, M. (PI), Song, X. (CoI), Mohasseb, A. (CoI), Golcarenarenji, G. (CoI), Canning, B. (CoI) & Shiaeles, S. (CoI)
3/03/25 → 29/02/28
Project: Innovation
Activities
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IFIP International Symposium on Human Aspects of Information Security & AssuranceHAISA 2026
Bednar, P. (Member of programme committee)
6 Jul 2026 → 8 Jul 2026Activity: Participating in or organising an event types › Participation in conference
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ECIS 2026 The European Conference on Information Systems
Bednar, P. (Member of programme committee)
15 Jun 2026 → 17 Jun 2026Activity: Participating in or organising an event types › Participation in conference
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Transactions on Consumer Electronics (Journal)
Taheri, R. (Editorial board member)
28 Feb 2026 → …Activity: Publication peer-review and editorial work types › Editorial activity
Prizes
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2020 Springer Nature: China New Development Awards
Yu, H. (Recipient), Liu, J. (Recipient), Liu, L. (Recipient), Ju, Z. (Recipient), Liu, Y. (Recipient) & Zhou, D. (Recipient), 30 Oct 2020
Prize: Prize (including medals and awards)
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AI-2024: Best Application Paper Award
Jacobson, L. (Recipient), 19 Dec 2024
Prize: Prize (including medals and awards)
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Award for Outstanding Innovation in Digital Health and Social Care
Sanders, D. (Recipient), Tewkesbury, G. (Recipient), Haddad, M. (Recipient), Langner, M. (Recipient) & Gegov, A. (Recipient), 19 Nov 2020
Prize: National/international honour
Press/Media
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New defense system for transport smart-tech could save lives
3/12/25
1 item of Media coverage
Press/Media: Research cited
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“Global Tech Outages Hit Airlines and Businesses Worldwide” at CNN International Europe News
19/07/24
1 Media contribution
Press/Media: Expert comment