Institute for Sensors, Signals & CommunicationsCentre for Signal & Image Processing

From sensor definition to actionable insights 

The Centre for Signal & Image Processing, CeSIP, is a transdisciplinary research community developing new algorithms, architectures, tools and systems across industry sectors to deliver actionable insights across five interconnected laboratories. We welcome PhD enquiries and academic visitors, and we’re always open to new collaborations and interesting challenges. Get in touch at

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.


Learning made useful

Volunteer on a lifeboat

Lifeboat Service

We worked with the Lifeboat Service to support safe navigation in tidal flats, using satellite imagery to detect changes and plot safe navigation channels to aid lifeboat crews during rescues.



Historic firsts

Our research and expertise have supported historic firsts:

  • first Scottish spacecraft and first UK commercial CubeSat; UKube-1, 2014
  • first spaceflight collaboration between the Mexico Space Agency and NASA; AzTechSat-1, 2019

We've delivered capacity building and aided the development of satellite technology and applications worldwide.

The University of Strathclyde's research on nano-satellite technology and space mission analysis, conducted by Prof Malcolm Macdonald and his team, has been instrumental in informing NASA's approach to small spacecraft" 

from the Associate Chief Technologist at NASA Jet Propulsion Laboratory

Download the REF impact case study

Networks around the globe

Innovative satellite constellation service

Applying our research on network systems, astrodynamics, spacecraft constellations, novel inter-satellite data routing and on constellation management and ground station selection in 19.7M€‎ xSPANCION Pioneer Partnership Project to develop an innovative satellite constellation service, including the manufacturing of 10 spacecraft.

Unmanned flying drone in the sunset

Defence & security

We worked with Dstl and defence and security industries to develop advanced algorithms for drone discrimination to strengthen the national capabilities in the field of UAV monitoring. 

We provided our expertise in radar signal modelling and processing to the UK MoD to develop models and algorithms to detect and track reliable ballistic threats.

Our People

CeSIP has over sixty staff and students, below is our academic leadership team.