Organisation profile
Organisation profile
The FLITe research centre involves researchers and practitioners from the fields of intellectual property and emerging technologies law, innovation, sustainability, economics, artificial intelligence, data science and robotics.
Our core mission is knowledge transfer. We help the people and organisations that we work with, as well as broader society, to better understand the relationship between law, innovation and technology, and to discover how best to use this understanding for commercial benefit and societal impact.
FLITe brings together a diverse and interconnected body of researchers from different faculties across the University of Portsmouth, as well as from other research intensive universities both in the UK and Europe. Our members also include industry facing personnel from technology transfer offices, and patent attorneys and patent examiners from leading law firms and NGOs including the European Patent Office.
Our research includes:
Intellectual property law and the innovation life cycle
Regulatory and legal governance of emerging technologies
Global business sustainability and strategy
The protection of personal data in cyberspace and high tech industries including fintech
The digital economy
The implications for intellectual property law of artificial intelligence
Research highlights
We aim to develop outputs in:
Research — bringing together our expertise in law, innovation and technology to address the full spectrum of issues at the forefront of these disciplines
Education — by producing executive and professional development programmes that combine a comprehensive grounding in our core disciplines, along with a practical application to industry
Knowledge Transfer — by partnering with organisations across industry, government and academia to support them in solving complex challenges using approaches and knowledge developed within FLITe
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 3 Good Health and Well-being -
SDG 5 Gender Equality -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
Fingerprint
Collaborations and top research areas from the last five years
Profiles
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Mohamed Bader-El-Den
- Faculty of Technology, School of Computing - Professor of Artificial Intelligence and Data Science
- Future of Law, Innovation and Technology Research Centre
- Portsmouth AI and Data Science Centre
Person: Associate, Academic
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Anastasia Callaghan
- Faculty of Science & Health, School of the Environment and Life Sciences - Professor of Biochemistry and Molecular Biophysics
- Institute of Life Sciences and Healthcare
- Future of Law, Innovation and Technology Research Centre
- Centre for Enzyme Innovation
Person: Associate, Academic
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Joe Cox
- Faculty of Business & Law, School of Accounting, Economics and Finance - Associate Head (Research and Innovation)
- Centre of Excellence for Heritage Innovation
- Future of Law, Innovation and Technology Research Centre
- Centre for Innovative and Sustainable Finance
Person: Academic
Research output
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Automating root cause analysis in semiconductor manufacturing using transformer models with explainable AI
Alothman, Y., Bader-El-Den, M., Maurya, L. & Amer, E., 7 Apr 2026, (Early online) In: IEEE Transactions on Semiconductor Manufacturing. 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Downloads (Pure) -
Explainable machine learning using VOC profiles for sausage spoilage prediction enhanced by GAN-augmented data
Ince, V., Bader-El-Den, M., Esmeli, R. & Sari, O. F., 16 Feb 2026, In: Food and Bioprocess Technology. 19, 4, 26 p., 175.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
SignRobot: Sign Language Recognition for Robot Interaction Based on Dual-Stream Multi-Fusion with Frame Enhancement Network
Hu, J., Gao, Q., Lai, Y., Zhang, Y. & Ju, Z., 28 Jan 2026, 2025 IEEE International Conference on Systems, Man, and Cybernetics: Navigating Frontiers: Smart Systems for a Dynamic World, SMC 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 7454-7460 7 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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KTP Revolutionising Data Capture and Machine Learning for ReThink
Ma, H. (PI), Smart, E. (CoI) & Simms, C. (CoI)
30/04/25 → 30/10/27
Project: Research
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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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Embedding AI in wearable sensing device
Zhou, D. (PI), Ju, Z. (CoI) & Liu, H. (CoI)
1/03/24 → 30/10/26
Project: Research
Activities
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Data Physicalisation
Andrikopoulou, E. (Organiser) & Bader-El-Den, M. (Speaker)
1 Jul 2024Activity: Participating in or organising an event types › Participation in workshop, seminar, course
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3rd International Conference for Alternative Finance Research
Cox, J. (Presented paper)
5 Jun 2024Activity: Participating in or organising an event types › Participation in conference
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11th Annual Conference on Financial Market Regulation, SEC, Washington, D.C.
Stenfors, A. (Presented paper)
9 May 2024Activity: Participating in or organising an event types › Participation in workshop, seminar, course
Press/Media
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Tips for Raising Money With Personal Crowdfunding Campaigns
14/05/24
1 Media contribution
Press/Media: Expert comment