Research Themes
Artificial intelligence research exploits a range of modern machine learning techniques to solve the challenging problems of image and video analysis, cognitive neuroscience, natural language understanding and intelligent robotics.
Wireless research at Queen's University Belfast is driven by the need to develop innovative physical layer technologies which will underpin the communications systems of tomorrow. The Wireless Communications Research Theme, mirrored by the Centre for Wireless Innovation at ECIT, is the UK's largest research, development and exploitation base in physical layer wireless, and one of the strongest in Europe. Working primarily in the RF through to sub-millimetre wave bands, we are creating transformative technologies that will meet the future requirements of users whether it be coverage, data rate, latency, security, connectivity on a massive scale or wireless imaging and sensing.
Computing systems research investigates, explores and advances computing architectures and techniques for the next generation of connected devices and the explosion of information they will produce.
Cybersecurity research seeks to address the enabling keystone technologies that ensure the security of connected systems.
EPIC is dedicated to addressing the challenges around the digitisation of manufacturing and the integration of low carbon technologies into power networks.
The software engineering research theme empirically investigates both the people, practices, processes, and artefacts used to design, implement, test, deploy, maintain and evaluate software systems, and the properties of those resulting software systems in use. The long-term aim is to discover and validate empirical generalisations, theories and "laws", and then to apply those into software practice, so that we can more effectively engineer software systems that benefit individuals, society, the economy and the environment.