Future computing systems
We are developing novel approaches to processing and computation.
Our facilities
We boast an incredible array of facilities, making our innovative future computing systems research possible.
From our foundations with the world's first stored-program computer, we have grown and expanded with society.
Today our focus is on identifying novel ways to exploit the formidable complexity of the billion transistor microchips that semiconductor technology will make commonplace over the next decade.
Areas of expertise
Our researchers focus their work in the following specialist areas:
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Advanced processor technologies
From many-core computing to neuromorphic technologies, from adaptive compilers to field programmable gate arrays, we are advancing the state of the art for the next generation of energy-efficient computing hardware.
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Nano-engineering and spintronic technologies
We research the physical processes to create the computational and data storage devices of the future, using non-conventional computing media and collaborations with Physicists, Chemists and Materials Scientists.
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Postgraduate research projects
Future computing systems projects
- (MRC DTP) Data-Science Approaches to Better Understand Multimorbidity and Treatment Outcomes in Patients with Rheumatoid Arthritis
- (MRC DTP) Unlocking the research potential of unstructured patient data to improve health and treatment outcomes
- A Multi-Tenancy FPGA Cloud Infrastructure and Runtime System
- A New Generation of Terahertz Emitters: Exploiting Electron Spin
- Arousal and Scanpath Trend Analysis (a-STA)
- Balancing security and privacy with data usefulness and efficiency in wireless sensor networks
- Blockchain-based Local Energy Markets
- Cloud Computing Security
- Design and Exploration of a Memristor-enabled FPGA Architecture
- Design and Implementation of an FPGA-Accelerated Data Analytics Database
- Evaluating Systems for the Augmentation of Human Cognition
- Guaranteeing Reliability for IoT Edge Computing Systems
- Job and Task Scheduling and Resource Allocation on Parallel/Distributed systems including Cloud, Edge, Fog Computing
- Managing the data deluge for Big Data, Internet-of-Things and/or Industry 4.0 environments
- Pervasive Technology for Multimodal Human Memory Augmentation
- Power Management Methodologies for IoT Edge Devices
- Power Transfer Methods for Inductively Coupled 3-D ICs
- Problems in large graphs representing social networks
- Programmable Mixed-Signal Fabric for Machine Learning Applications
- Scheduling, Resource Management and Decision Making for Cloud / Fog / Edge Computing
- Security and privacy in p2p electricity trading
- Smart Security for Smart Services in an IoT Context
- Spin waves dynamics for spintronic computational devices
- Spintronics-based Neuromorphic Computing for Deep Learning
- Technology-driven Human Memory Degradation
- Ultrafast spintronics with synthetic antiferromagnets
Richard Banach projects
Sarah Clinch projects
Simon Harper projects
Dirk Koch projects
Christoforos Moutafis projects
Mustafa Mustafa projects
Goran Nenadic projects
- (MRC DTP) Data-Science Approaches to Better Understand Multimorbidity and Treatment Outcomes in Patients with Rheumatoid Arthritis
- (MRC DTP) Unlocking the research potential of unstructured patient data to improve health and treatment outcomes
- Integrated text and table mining
- Text Analytics and Blog/Forum Analysis
Paul Nutter projects
Vasilis Pavlidis projects
Rizos Sakellariou projects
- Job and Task Scheduling and Resource Allocation on Parallel/Distributed systems including Cloud, Edge, Fog Computing
- Managing the data deluge for Big Data, Internet-of-Things and/or Industry 4.0 environments
- Problems in large graphs representing social networks
- Scheduling, Resource Management and Decision Making for Cloud / Fog / Edge Computing