Research projects

Self-learning digital twins for sustainable land management

EP/Y00597X/1: Engineering and Physical Sciences Research Council, 2023-2025.

Self-learning AI-based digital twins for accelerating clinical care in respiratory emergency admissions (SLAIDER)

EP/Y018281/1: Engineering and Physical Sciences Research Council, 2023-2025, £619,666.

Advancing machine learning to achieve real-world early detection and personalised disease outcome prediction of inflammatory arthritis

EP/Y019393/1: Engineering and Physical Sciences Research Council, 2023-2025, £619,660.


Arch-I Scan: Image recognition (Automated recording and machine learning for collating Roman ceramic tablewares and investigating eating and drinking practices), Arts and Humanities Research Council 2020-2023, £999,906.

PI Professor Penelope Allison from the School of Archaeology and Ancient History. Co-Is: Professor Alexander N. Gorban, Dr Evgeny M. Mirkes, Professor Ivan Tyukin from the School of Mathematics and Actuarial Sciences. Arch-I-Scan will learn to automatically recognise and record details of pottery remains, using handheld devices (e.g. mobile phones) operated by non-specialists and specialists, and to digitally collate and store large quantities of data.

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