The Research Excellence Framework (REF) 2014 was incredibly successful for all of Queen Mary, the Faculty of Science and Engineering and for the School of Electronic Engineering and Computer Science.
Queen Mary is ranked 9th in the UK among multi-faculty institutions placing it firmly among the very best research-led institutions in the UK.
94% of the research from the School of Electronic Engineering and Computer Science was rated 'world-leading or internationally excellent' (3* or 4*) with a Grade Point Average (GPA) – a simple measure of the overall or average quality of research - of 3.252. This is a fantastic result for the School and shows the increasing strength of our research output.
The Research Excellence Framework (REF) is the system for assessing the quality of research in UK higher education institutions. Universities submit their work across 36 panels of assessment. Research is judged according to quality of output (65 per cent), environment (15 per cent) and, for the first time, the impact of research (20 per cent).
Find out more about our REF 2014 results:Breakdown of units of assessment
Computer science and informatics
- Computer science now ranks as 11th out of 89 eligible institutions on GPA.
- Quality profile from 31 submitted staff and 4 impact case studies: 4* (39%); 3* (52%); 2* (8%); 1* (1%).
- This overall profile means that 91% of our submitted research is rated 3* or 4*.
- Grade Point Average (GPA) of 3.29 up from 3.00 in the Research Assessment Exercise (RAE) in 2008 (REF’s predecessor).
Electrical and electronic engineering, metallurgy and materials
- Electronic engineering now ranks as 9 out of 37 institutions on GPA in this joint EE and Materials table.
- Taking just electrical and electronic engineering submissions we rank 6th in terms of GPA.
- Quality profile from 19 submitted staff and 3 impact case studies: 4* (20%); 3* (79%); 2* (1%); 1* (0%).
- This overall profile means that 99% of our submitted research is rated 3* or 4*.
- This gives a GPA of 3.19 up from 2.55 in RAE 2008.
The impact of all of the School’s submitted research was rated 3* or 4* which is a fantastic performance in this new measure and shows the QMUL’s computer science and electronic engineering research is strongly linked to real world applications.
Our seven submitted case-studies were:
- Automatic memory safety verification for critical software: Monoidics spinout (Theory)
- Causal Bayesian reasoning in critical decision making: the AgenaRisk commercial software (RIM)
- Cognitive Science Research and “Chatterbox” spinout (CogSci)
- Music Informatics and Sonic Visualiser (C4DM)
- Measuring Actual Experience to Improve Networked Applications and Services (Networks)
- Semantic Web for Music (C4DM)
- Ultra wideband antennas and propagation (Antennas)
You can read more about our impact here.