Core contributor across SELFNET (virtualized network management), SLICENET (network slicing), 5G-INDUCE (industrial 5G platforms), and 6G BRAINS (reinforcement learning for 6G networks).
UNIVERSITY OF THE WEST OF SCOTLAND
Scottish university specializing in 5G/6G network intelligence, AI-driven autonomous systems, and IoT security across industrial and transport applications.
Their core work
The University of the West of Scotland is a Scottish university with strong applied research in next-generation telecommunications and networked systems. Their core work spans 5G/6G network architecture, software-defined networking, and AI-driven network management — skills they apply across industrial, security, and transport domains. They also bring capabilities in autonomous systems (drones, unmanned vehicles) for infrastructure inspection, and in IoT security using federated AI and decentralized technologies. A smaller but distinct thread covers social science research on human rights and inclusion in mega sporting events.
What they specialise in
Applied multi-agent deep reinforcement learning in 6G BRAINS, AI-driven network slicing in SLICENET, and federated AI for IoT security in ARCADIAN-IoT.
Coordinated RAPID, developing risk-aware automated drones for port and harbour infrastructure inspection — their largest funded project at EUR 1.1M.
Contributed to ARCADIAN-IoT on autonomous trust, privacy management, cyber threat intelligence, and functional encryption for IoT ecosystems.
Participated in EventRights, researching diversity, human rights, and equality in the hosting of mega sports events.
How they've shifted over time
UWS entered H2020 focused on foundational telecom infrastructure — software-defined networking and network virtualisation (SELFNET, SLICENET in 2015-2017). By 2020-2021, their work shifted decisively toward applied AI in networks (reinforcement learning for 6G, federated AI for IoT security) and autonomous systems for real-world inspection tasks. The trajectory shows a clear move from building network plumbing to making networks intelligent and applying that intelligence to physical-world problems like port safety and industrial automation.
UWS is positioning itself at the intersection of next-generation wireless (6G) and applied AI, with growing interest in autonomous inspection and industrial IoT — expect future work in AI-native networks and intelligent autonomous systems.
How they like to work
UWS predominantly joins consortia as a specialist partner (6 of 7 projects), contributing deep telecom and AI expertise rather than leading large programmes. They coordinated one project (RAPID) which was also their largest by funding, suggesting they can lead when the topic aligns closely with their strengths. With 92 unique partners across 23 countries, they are well-networked and comfortable in large, diverse European consortia.
UWS has collaborated with 92 distinct partners across 23 countries, indicating a broad and well-distributed European network. Their partnerships span telecom operators, industrial players, and research institutions, with no obvious geographic clustering beyond general European reach.
What sets them apart
UWS combines deep telecom network engineering (from 5G virtualisation to 6G radio) with applied AI research — a combination that is relatively rare outside large technical universities. Their RAPID project demonstrates an ability to translate network and AI skills into real-world autonomous inspection systems, bridging the gap between connectivity research and industrial application. For consortium builders, they offer a mid-sized university partner that punches above its weight in telecom AI without the overhead of a large institution.
Highlights from their portfolio
- RAPIDTheir only coordinated project and largest grant (EUR 1.1M), applying AI and autonomous drones to port infrastructure inspection — a strong demonstration of leadership capability.
- 6G BRAINSPositions UWS at the frontier of 6G research using multi-agent deep reinforcement learning for ultra-dense networks, terahertz and optical wireless communications.
- ARCADIAN-IoTCombines federated AI, decentralized ledger technology, and functional encryption for IoT security — showing breadth beyond pure telecom into cybersecurity.