Traditional Artificial Intelligence(AI) technologies such as Machine/Deep learning used in developing intelligent/smart solutions largely rely on utilising best representative test datasets and features engineering and less on the available domain expertise. Read more
Traditional Artificial Intelligence(AI) technologies such as Machine/Deep learning used in developing intelligent/smart solutions largely rely on utilising best representative test datasets and features engineering and less on the available domain expertise. Read more
What is optimal choice under uncertainty? This is a fundamental question in artificial intelligence, as well as in economics and in psychology. Read more
Artificial intelligence and machine learning approaches have been utilised for managing power systems, however, the introduction of the electric vehicle made power management more difficult due to the charging and utilisation of individual vehicles. Read more
This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more
Although initial discussions regarding bioelectricity and its role in the fundamental understanding of various cellular behaviours took place in the 1970s, the bioelectrical view of cells as a more general concept has remained limited to the fringes of biological research for five decades. Read more
The ultimate goal in cancer treatment is to identify the therapeutic vulnerabilities of a patient’s tumour and use this to design a personalised medicine regime. . Read more
This project is part of a unique cohort based 4-year fully funded PhD programme at the. UKRI Centre for Doctoral Training in Safe and Trusted AI. Read more
The research project aims to develop innovative tools for the damage assessment of critical structural systems such as buildings and bridges exposed to external shocks (e.g. Read more
HOMeAGE involves a nine-country collaboration between leading research units, major intergovernmental organisations, international civil society actors and governmental and non-governmental organisations. Read more
An exciting opportunity to work within a highly multidisciplinary group at the Biomedical AI and Data Science Lab (www.hebasailem.com) at the School of Cancer and Pharmaceutical Sciences to develop new computational pathology approaches to improve cancer patient treatment and diagnosis. Read more
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