The Sensor Signal Processing and Security Laboratory addresses current and future sensing challenges, in the RF domain, with state-of-the-art processing techniques.

Developing Solutions from RF sensing system definition to processing frameworks, and from technical feasibility to practically realisable.

The Broadband Multi-Sensor Processing Laboratory addresses challenges and opportunities that arise from processing high volumes of data.

This data is typically broadband, I.E it may span up to several octaves in frequency and is acquired by an array of sensors, such as microphones, hydrophones or RF antennas.

We champion fundamental mathematical techniques for broadband array processing, including the existence of solutions and algorithms that can attain these. Through scalable implementations, we drive applications in fields ranging from broadband beamforming in the sonar domain, to speech enhancement using microphone arrays or subspace detection of broadband weak transient signals, such as IED triggers, in contested and congested RF environments.

The Video and Hyperspectral Imaging Laboratory is designing novel algorithms to extract quantification and measurement, to convert complex data into user-friendly decision support tools.

The laboratory is equipped with state-of-the-art hyperspectral imaging equipment covering an entire decade (250nm - 2500nm) of the electromagnetic spectrum.

Space is becoming increasingly accessible, valuable, interconnected and contested.

With a track record of delivering innovation and value through collaboration, the Applied Space Technology Laboratory, ApSTL, is addressing global challenges by working at the boundaries between disciplines to deliver a step-change in the democratisation, exploration and exploitation of space. 

The Neuromorphic Sensor Signal Processing Laboratory develops neuromorphic, deep learning and machine learning solutions for real-life applications, leveraging in-house expertise in image and video processing and embedded systems.

The laboratory is equipped with state-of-the-art event-based cameras and advanced computing facilities, to support the investigation of the cutting-edge neuromorphic sensing and processing paradigm.