Recent years have witnessed significant strides made by machine learning-based computer vision, thus enabling machines to interpret and understand visual information. Read more
Recent advances in imaging, networking, data processing and storage technology have resulted in an explosion in the use of multi-modal sensory data in many fields, including medical imaging, urban monitoring, robot vision and many others. Read more
This project aims to tackle the challenges of effectively performing pixel-level classification (aka semantic segmentation) in applications where annotated data for model training is lacking. Read more
Microtubules – long polarised polymers of tubulin – are essential for normal cell function by providing directions for transporting molecules (such as RNAs and proteins) and organelles inside cells and mediating signalling activities. Read more
A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns of brain activity associated with a volitional thought onto signals suitable for communication and control. Read more
Combining insights from neuroscience, biology, cognitive sciences and related areas, this project aims to develop computational models of language processing inspired by the neural and biological basis of human language. Read more
Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. Read more
The human cortex is the most complex known system. It is responsible for a vast range of sensorimotor, decision making, and other cognitive abilities of humans and other mammals. Read more
The University of Sheffield, Sheffield Water Centre in collaboration with Network Rail and the Centre for Doctoral Training in Water Infrastructure and Resilience. Read more
Project Background. The aim of this project is to revolutionise the real-time monitoring of cargo vessels by developing bespoke Internet of Things (IoT) technologies that are optimised for the unique demands of the maritime setting. Read more
This project strives to advance Turing Learning which is a family of machine learning methods for behavioural inference that do not rely on similarity metrics (. Read more
This project strives to advance the foundations of modular robotics by studying novel capabilities of modular robots. Depending on the direction, the contributions of your project could be two-fold. Read more
Psychoactive drugs result in profound alterations of our state of consciousness. Well known examples of such drugs are general anaesthetics, in use since mid-19th century, and psychedelics, which are consumed from times immemorial. Read more
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