Projects per year
Organisation profile
Organisation profile
The Centre for Future Facing Learning and AI in Higher Education is a Teesside University-wide research hub advancing responsible artificial intelligence, data-driven innovation, and Education 5.0. We bring together interdisciplinary expertise to transform how learning is designed, delivered, and experienced in higher education and beyond. We focus on building ethical, inclusive, and human-centred AI systems that enhance learning, improve student success, and shape the future of global education. We foster a vibrant interdisciplinary research environment that connects technical innovation with educational practice and policy impact.
We are actively seeking collaboration on:
- co-developing funded research projects
- contributing to global policy and practice debates
- advancing ethical and inclusive education technologies
- designing and evaluating real-world implementation studies
- PhD and postdoctoral research collaborations
- industry and policy engagement initiatives.
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Dive into the research topics where Centre for Future Facing Learning and AI in Higher Education is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Sarah Aiston
- Institute for Collective Place Leadership
- Centre for Future Facing Learning and AI in Higher Education
- SSSHL Department of Law, Policing and Investigation - Professor in Higher Education and Public Policy
Person: Professorial
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Ala Al Kafri
- Department of Computing & Games - Senior Lecturer in Computer Science
- Centre for Digital Innovation
- Centre for Future Facing Learning and AI in Higher Education
Person: Academic
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Hiba Alsmadi
- Department of Computing & Games - Lecturer in Data Visualisation
- Centre for Future Facing Learning and AI in Higher Education
Person: Academic
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Community Appointment Days versus Standard Physiotherapy for People with a Musculoskeletal Condition
Sheehan, K. (PI) & Liguori, A. (PI)
1/06/26 → 31/05/30
Project: Research
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AI-Driven Modelling and Optimisation Platform for Intelligent Ultrasonic Antifouling Systems in Marine Infrastructure (KTP)
Li, Q. B. E. (PI), Chong, P. L. (CoI), Habibi, H. (CoI), Faraji, F. (CoI) & Orr, C. (CoI)
1/06/26 → 31/05/29
Project: Research
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Hydrogen Supply Chain Solutions and CO2 Emission Metrics for Tees Valley Region
Hanak, D. (CoI), Dawood, N. (PI), Ali, U. (CoI), Ugwu, J. (CoI), Jacob, S. M. (CoI), Pak, T. (CoI) & Alsmadi, H. (CoI)
15/04/26 → 14/07/27
Project: Research
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A latent factor framework to organize regulatory and metabolic programs inferred from scRNA-seq
Napoli, C., Bardozzo, F., Verma, S., Doan, L. M. T., Fiore, P., Faggiano, C., Angione, C., Occhipinti, A. & Tagliaferri, R., 30 Jun 2026, (E-pub ahead of print) In: Bioinformatics Advances. 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
A Light Passive Back-Support Exoskeleton With a Variable-Stiffness Gravity Compensator for Lifting and Walking Assistance
Ni, X., Chen, B., Peng, J., Zhou, L., Zi, B., Qin, L. & Li, Q. B. E., 29 Apr 2026, (E-pub ahead of print) In: IEEE/ASME Transactions on Mechatronics. 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile35 Downloads (Pure) -
An explainable deep learning method for diagnosing lumbar spine disorders from medical images
Oyebanji, U. O., Al Kafri, A., Alsmadi, H., Alkasasbeh, M., Maghaydah, S., Natalia, F. & Al-Karaki, W. A., 1 Jun 2026, In: Healthcare Analytics. 9, 15 p., 100459.Research output: Contribution to journal › Article › peer-review
Open AccessFile44 Downloads (Pure)
Press/Media
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New partnership will support students interested in esports
Abbott, D., Fenton, S. & Jayne, C.
8/12/22
1 item of Media coverage
Press/Media: Press / Media
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RAEng funds engineering department initiatives to bolster student diversity
17/03/23
1 item of Media coverage
Press/Media: Press / Media
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AI for Women's Health "What Challenges Exist in Researching AI in Women’s Health?"
8/05/24
1 Media contribution
Press/Media: Press / Media