GPU Computing

Developing a groundbreaking ML model for swift and efficient coverage prediction in complex urban environments, enabling rapid optimisation of transmitter locations on standard computing hardware.

Leading a transformative four-year research initiative to improve mobile ad-hoc networks through advanced directional antenna systems and cross-layer processing, significantly enhancing military communication capabilities.

Innovating a new Armour Integrity Monitoring System (AIMS) for the UK MoD, delivering a low SWaP-C solution that dramatically streamlines logistics and enhances protection through in-field armour integrity checks.

Collaborating with WaveTech to develop an advanced mmWave radar system, enabling the rapid and automated detection of foreign object debris on runways, enhancing safety and operational efficiency at a South Korean airport.

Advancing a perimeter surveillance solution with long-range detection and low false-alarm rates, using state-of-the-art Passive Electronically Scanned Array technology for robust and maintenance-free operation in a range of demanding environments.

Developing an innovative distributed spectrum monitoring system, using low-cost software-defined radio platforms, to provide superior interference detection and larger coverage for high-value sites.

Advancing intelligent mobility by integrating cutting-edge electronic-scanning radar technology to ensure the safe and efficient operation of autonomous vehicles in complex real-world environments.

Revolutionising telehealth with the MonitorMe phone, seamlessly connecting patients to healthcare providers for vital signs monitoring.

Enhancing solar farm efficiency through advanced drone inspection and automated analysis of diagnostic data.

Developing a groundbreaking microwave camera technology, enabling real-time detection of concealed items in a non-intrusive manner, improving airport security with minimal passenger disruption.

Innovative approach combining ultrasonic and infrared sensors above train doors, significantly enhancing passenger counting accuracy for public transport safety and efficiency.

Developing a cutting-edge solution using deep learning to effectively differentiate between radar tracks from aircraft and wind turbines, enhancing the safety and efficiency of air traffic control.