Centres and institutes
Our staff and research students work with research centres and institutes to solve industrial challenges.
Centre for Signal Processing and Complex Systems
The Centre for Signal Processing and Complex Systems supports a diverse range of multi-disciplinary research projects. The centre provides the underpinning signal processing, system identification, dynamical analysis, control and modelling to support emerging multi-disciplinary research themes including cyber physical systems and life sciences.
Centre for Signal Processing in Neuroimaging and Systems Neuroscience (SPiNSN)
The Centre for Signal Processing in Neuroimaging and Systems Neuroscience conducts world-class research on the identification of complex and nonlinear systems and the development of advanced neuroimaging techniques and computational modelling in systems neuroscience.
Sheffield Robotics is a word leading centre developing robots, AI and algorithms across a wide range of application areas. Our researchers investigate ingestible robotics, unmanned air vehicles and swarm robotics.
Rail Innovation and Technology Centre (RITC)
The RITC at the University of Sheffield extends across the entire engineering faculty. The focus of the RITC's activity is intelligent systems engineering involving detection, sensing, communication, materials, structures and software technologies that can be applied to rail infrastructure, operations and traffic, although no aspect of railway-related research is excluded.
ACSE is home to the University Technology Centre (UTC) in Control and Monitoring Systems Engineering supported by Rolls-Royce. This centre carries out co-ordinated and directed programmes of research in the fields of control and monitoring systems, including model-based architecture design and optimisation.
A collaborative initiative between the University and Sheffield Teaching Hospitals NHS Foundation Trust. It's a multi-disciplinary institute involving over 80 academics and clinicians who develop computer simulations of the human body and its disease processes to improve diagnosis and treatment.