Skip to main content

Computing Infrastructure

Inside a desktop computer

Computing Infrastructure

Electronics inside a desktop computer

Computing Infrastructure

Computing is at the core of today's society, as almost every aspect of day-to-day life depends on digital technology, and data processing in particular. Our group is engaged in a wide range of research aspects related to Computer Engineering, with a focus on building Scalable, Sustainable and Resilient computing infrastructure.

In our research, we use micro-architectures to improve system-scale and application level performance. Examples include using programmable devices to design new data driven accelerator platforms, building high-performance networked-systems, improving power-efficiency in cloud computing, re-imagining server architectures, and more. All our research is implementation-driven, producing working prototypes.

The research group is centred at the Department of Engineering Science and has connections to many other research groups across in the United Kingdom and internationally, and we are also closely linked to industry.

Open source research is at the heart of our work, and we are active in several open source communities. The code developed under different projects, as well as collected datasets, are made available online.

It's A Level Results Day! Congratulations to all of you who will be #GoingToOxford this year to study Engineering Science @UniofOxford #AlevelResultsDay2022 You can chat to our current students to find out about studying Engineering and living in Oxford

Just one month until our next Open Day! Join us from 9:30-16:30 on 16 September to take a look at our teaching labs, see demos of some of the experiments you would do on the course, watch taster lectures & chat to current undergraduate students #oxopendays

A new research project, ASLIP, (Attribution and Synopsis of Landslide Impacts from Precipitation), led by Dr Sarah Sparrow along with Yuexiao Liu, investigates the correlation between anthropogenic climate change and landslide frequency. @CEMADEN

Reducing diagnostic delays for cancer is crucial. Dr Tingting Zhu is developing the #ArtificialIntelligence component of a multi-institute project with seed funding to feasibility test a tool to estimate the risk of developing gastrointestinal cancer.

RT @oxfordenvsust: @OxfordUniversity is going forward step by step to reach its #EnvironmentalSustainability strategic goals. See some of t…

RT @dynamicrobots: NEW PUBLICATION: We adapted the semantic mapping system from the CURLY lab (@ghaffarimaani), integrated it within our el…