Collaborations and partnerships
Our collaborations and partnerships include a wide variety of national and international partners, such as:
- Portsmouth Hospitals University NHS Trust
- Office of National Statistics
- Ministry of Defence
- Defence Science and Technology Laboratory
- Korean Industrial Technology Security Hub
- Softbank Robotics Europe
Infrastructure and facilities
We have four specialist labs that facilitate our research:
- Our Networking and Cloud Computing Lab houses over 200 Cisco networking devices and a private cloud with circa 300 cores, 700 TiB of RAM and 60TiB of attached storage. In 2018, our School of Computing secured an official partnership with Cisco Systems to further support research facilities in networks and cyber-security. In 2019, the University invested £200,000 to upgrade the laboratory’s networking equipment, match-funded by Cisco.
- The Robotics Lab contains a robot-assisted Autism Spectrum Disorder (ASD) Intervention platform, with a diagnosis and intervention system; a computer vision-based sensing platform with eye tracker system by Elonxi; an Industrial Robotics Platform with a Sawyer robot by Rethink Robotics; and a Motor Function Rehabilitation Platform with i-limb by Touch Bionics.
- Within the Centre for Healthcare Modelling and Informatics, the Clinical Outcomes Group (COG) operates a virtual server for the secure storage of healthcare data. COG staff have high-spec laptops to facilitate health-related data science research where specific enhanced data security policies exist.
- The Data Science Lab was established in 2018 and includes an IBM AC922 server (with four Tesla V100s) with IBM Power AI Vision.
Our REF 2021 submission included 33 staff (13% early career researchers), more than double REF 2014, reflecting the vitality and continuing growth of Computer Science and Informatics at the University.
Our research income more than tripled between 2014 and 2021 and PhD completions more than doubled in the same period.
Currently, 40% of our outputs are considered interdisciplinary and by the end of the REF period, at least 77% of submitted staff were undertaking interdisciplinary research.
Results in REF 2021
- 75% of our research outputs were judged to be internationally excellent or world-leading.
- 83% of our impact was rated as having very considerable or outstanding reach and significance.
Our submission includes research from four research areas:
Impact case studies
We submitted three impact case studies demonstrating the reach and significance of our research in the following areas: