Research
Our research involves the exploration and development of theoretical foundations, modelling and programming languages, engineering methods, design tools and system engineering applications
The Cyber Physical Systems (CPS) Research Group is part of the Department of Electronics and Computer Science at the University of Southampton. We undertake research covering Electronics and Computer Science that enables advances in engineering of cyber physical systems. Our research involves the exploration and development of theoretical foundations, modelling and programming languages, engineering methods, design tools and system engineering applications.
People
Our members include leading researchers in computer science and in electronic engineering
Publications
Our research has been presented at international conferences and been published in renowned journals
Holistic design of security systems to build UK...
Computer scientists from the University of Southampton will guide software design to help curb cyber attacks on UK businesses in a major new research programme announced by Digital Secretary, Oliver Dowden.
Read MoreUniversity of Southampton hosts international...
Computer scientists promoted advances in the design and analysis of safety critical systems at the 6th international ABZ conference in Southampton.
Read MoreSaudi Arabian students honoured with Excelling...
Three postgraduate research students have been presented Excelling Student awards at The Royal Embassy of Saudi Arabia
Read MoreRecent CPS Publications
Energy-driven computing - Sivert T. Sliper, Oktay Cetinkaya, Alexander Weddell, Bashir Al-Hashimi and Geoff Merrett
Type: Article
| 2020
Incremental training and group convolution pruning for runtime DNN performance scaling on heterogeneous embedded platforms - Lei Xun, Long Tran-Thanh, Bashir Al-Hashimi and Geoff Merrett
Type: Conference or Workshop Item
| 2020
Dataset for "Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms" - Lei Xun, Long Tran-Thanh, Bashir Al-Hashimi and Geoff Merrett
Type: Dataset
| 2020
| University of Southampton