Research Groups and Centres

The Antennas & Electromagnetics Research Group, established in 1968, focuses on “High Quality Research backed by High Quality Measurements.” Renowned globally, the group collaborates with academic and industrial partners, contributing to UK innovation through new technologies, supply chains, and spinouts. It excels in microwave and THz research, including satellite communications, radar antenna arrays, body-centric wireless, metamaterials, bio-electromagnetics, and THz devices. Antenna Metrology has been a key focus, supported by the Antenna Measurement Laboratory, which houses extensive test ranges and electromagnetic characterization facilities spanning 400MHz to 3THz.

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.

With over 100 members, C4DM research spans a wide range of topics in music and audio technology, such as Music Information Retrieval, Music Informatics, Semantic Audio, Semantic Web for Music, Digital Signal Processing for Music and Audio, Audio Engineering, Machine Listening, Sound Synthesis, Music Perception and Cognition, Augmented Instruments, Sonic Interaction Design, and others.

The Centre for Intelligent Sensing 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 expertise in the Centre includes camera and sensor networks, image and signal processing, computer vision, pattern recognition and learning, coding, 3D imaging, reconstruction and rendering, 3D graphics, bio-inspired computing, human-computer interaction, face and gesture recognition, affective computing and social signal processing, and data mining.

Minds, Systems and Societies. We study human cognition, action and interaction on scales ranging from individual experience, through interactions between individuals, to the languages, cultures and dynamics of societies. 

Beyond fifth-generation (5G) wireless networks. At the Communications Systems research group, we study and develop cognitive technologies like AI to enable high-speed, ultra reliable low-latency communications (URLLC) at a pace multiple times faster than 5G wireless networks in untapped radio frequencies.

The Queen Mary Computer Vision Group has been conducting world-leading research in computer vision and machine learning for almost 30 years and is internationally renowned for its work on video behaviour and action recognition, person re-identification, multi-camera tracking, and face analysis.

Our research involves using games as a testbed for and an application of advanced artificial intelligence (AI) methods. Games provide an ideal way to study all aspects of AI, but within our group we place particular emphasis 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.

Founded in 2000 by Professor Izquierdo, the Multimedia and Vision group advances multimedia systems research, complementing other areas in the school. It takes a multidisciplinary approach, collaborating nationally and globally to push research frontiers and promote excellence through teaching and outreach. The group has significantly contributed to video compression, visual information retrieval, and video analytics for security while fostering cooperation with leading scientists and labs, maintaining strong industry and academic ties.

The Networks group was founded in 1987 and has since expanded greatly. We have an international reputation for excellence in bringing intelligence and performance assessment techniques to fixed and mobile communication networks. The group has a long-standing interdisciplinary collaboration with the School of Mathematical Sciences, supported by a succession of funded projects. This collaboration encompasses non-linear dynamics and experimental design, particularly as applied to optimising network measurement.

The MInDS research group takes an interdisciplinary approach to machine learning and decision systems. The group’s research focuses on methods from machine learning, statistics, probability theory, causality and psychology, to solve problems and challenges presented by scale, complexity and variability.

Many of the group members work with practitioners to produce predictive and explainable decision models, that often combine machine learning with human causal knowledge, with application to a wide range of domains including medical, legal, engineering, bioinformatics, security, sports, economics, risk and safety.

The Theory group specialises in the logical, mathematical and statistical foundations of computer science, with a breadth and depth of expertise almost unmatched in the UK. It tackles the hard problems inherent in discovering the power and limitation of computer systems, and how principled design based on the right mathematical models might make them more robust and secure.

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.