Research Groups and Centres
We are well known for our pioneering research and pride ourselves on our world-class projects. Our research and projects are centred around a number of research groups and centres.
£65Mof grant income
Click the sections below to find out more about the School of Electronic Engineering and Computer Science research groups and centres.
Research Groups and Centres
Antennas & Electromagnetics
Established in 1968, the Antennas & Electromagnetics Group has comprehensive experimental facilities housed in the Antenna Measurement Laboratory (AML), which has recently received £1 million in infrastructure investment. The group has strong links with industry and a current active grant portfolio of over £7m.
Centre for Digital Music
The Centre for Digital Music is a world-leading multidisciplinary research group in the field of Music & Audio Technology. Since its founding members joined Queen Mary in 2001, the Centre has grown to become arguably the UK’s leading Digital Music research group.
Centre for Advanced Robotics @ Queen Mary
ARQ is a cross-faculty multidisciplinary research centre at the Queen Mary University of London. ARQ aims to bring Queen Mary robotics activities under one roof, increasing visibility, facilitating collaboration, public engagement and moving towards critical mass. ARQ's activities spans across the School of Electronic Engineering and Computer Science (EECS), the School of Engineering and Material Science (SEMS), School of Biological and Chemical Sciences and Medical faculty. Current research projects.
Centre for Intelligent Sensing
The Centre for Intelligent Sensing is a focal point for research in Intelligent Sensing at Queen Mary University of London. The Centre focuses on breakthrough innovations in computational intelligence that are expected to have a major impact in transforming human and machine utilisation of multiple sensor inputs for interpretation and decision making. The Centre facilitates sharing of resources, exchange of ideas and results among researchers in the areas of theory and application of signal acquisition, processing, communication, abstraction, control and visualisation.
The Cognitive Science Group study human cognition, action and interaction on scales ranging from individual experience, through interactions between individuals, to the languages, cultures and dynamics of societies. Research includes Conversation Analysis, Discourse Analysis, Robotics, Cognitive Modelling, Machine learning, Formal Modelling, Computational Linguistics, Empirical studies of brain and behaviour.
Research from this group spans the broad areas of wireless communications and statistical signal processing, with special emphasis on communication theory, information theory, optimization, machine learning, control theory, and random graph theory. CSR group is internationally renowned for its contributions towards Fifth Generation (5G) Networks, Internet of Things (IoT), and Bio-inspired Molecular Communications.
Computer Vision Group
The Computer Vision group is one of the largest in the UK and internationally leading in its work on the extraction of object behaviour models and dynamic face models from image sequences and live video. The work has been widely applied to vehicle and people detection, object tracking, counting and recognition in public space CCTV, human gesture recognition for visually mediated interaction and abnormal behaviour recognition in visual surveillance. A current significant focus is in crime prevention, with work on real-time surveillance and biometrics.
Research in this group involves using games as a test-bed for and an application of advanced artificial intelligence (AI) methods. Games provide an ideal way to study all aspects of AI, but within this group a particular emphasis is placed on general AI: the challenge is to develop software agents that can rapidly learn to play any games to a high standard just by playing them. Much of this study is done within the framework of General Video Game AI (http://gvgai.net). The group studies two main approaches to general game AI: deep learning, and deep statistical search using a forward model (including Monte Carlo Tree Search and Rolling Horizon Evolution).
Multimedia and Vision
The Multimedia and Vision Research Group was formed in 2000 to conduct research in image, video processing and computer vision. The mission of the group has been to complement traditional electronic areas well represented in the departments, such as antennas and telecommunications. When the group was founded in 2000, relatively new areas of multimedia signal processing were in a good position to strengthen the department and college portfolio in research and teaching. The vision was to discover new understanding in multimedia systems technology and to spread excellence through teaching and outreach. The approach taken is integrative since there are no clear boundaries with other groups. Specifically, synergies with the centre for digital music and the networks group are exploited.
The Networks Research Group was established in 1987 and is active in key areas of networking including Internet measurements, quality of service, mobile communications, content delivery and network analysis. The group has an international reputation for excellence; our work is regularly published in prestigious venues such as SIGCOMM, INFOCOM, IMC, CoNEXT, WWW, ICNP and various premier IEEE/ACM Transactions (e.g. ToN, TPDS, TC, ToMM). Our research is funded by a mix of grants from EPSRC, EU H2020, and industrial partners.
Risk and Information Management
The RIM group takes an interdisciplinary approach to decision systems. The group’s research focuses on problems of decision-support under uncertainty using methods from computer science, statistics, machine learning and psychology, to solve problems and challenges presented by scale, complexity and variability. The research of the group is world-leading in its unique combination of data-centric methods with hypothesis-driven approaches in which the power of advanced computing is combined with the insights of human expert judgements.
Queen Mary is a world-leading centre for research on logical methods for reasoning about computer systems. Our work has spearheaded several developments – separation logic, logic for continuous systems, information theory for security, process types for web services, game semantics for programming languages – in which novel theoretical developments by us have been brought to bear in new application areas. We have also made fundamental contributions in pure logic (model theory, proof theory, categorical semantics) and in complexity theory.
qMedia is a Queen Mary University of London research initiative we operate a large-scale, interdisciplinary research centre which provides an umbrella for media, arts and technology areas across our talented and diverse centres and departments.
The centre includes the following research groups:
- the Centre for Digital Music - c4dm
- the Interaction Media and Communication group - IMC
- the Multimedia and Vision Research group - MMV
- the Doctoral Training Centre in Media and Arts Technology DTC
- researchers in Social and Pervasive Computing
Digital Environment Research Institute
The Digital Environment Research Institute will support wider ambitions to maintain UK leadership in data science and AI by creating and sharing knowledge that drives progress in digital and data science and its applications across a wide range of sectors.
The institute will build on the globally recognised expertise at Queen Mary, fostering new collaborations between our research leaders from across humanities and social sciences, medicine and dentistry, and science and engineering and developing existing partnerships with key organisations such as Barts NHS Trust and the Turing Institute.
Queen Mary University of London recently announced the appointment of Professor Greg Slabaugh as the Director of the University’s new Digital Environment Research Institute (DERI). Greg is based in the School of Electronic Engineering and Computer Science
Institute of Applied Data Science
The Institute of Applied Data Science (IADS) is a University-wide research institute that encompasses all three faculties at Queen Mary University of London: Science and Engineering, Medicine and Dentistry, and Humanities and Social Sciences. We draw on this broad base of multidisciplinary expertise to tackle challenges across the full spectrum of data science.
The Institute of Applied Data Science is working with a growing number of external partners, including AIG, BBC, Microsoft, Lloyds Banking Group, IBM and the Barts and the Royal London NHS Trust.
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