SciTransfer
Organization

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.

University research groupdigitalUK
H2020 projects
7
As coordinator
1
Total EC funding
€3.9M
Unique partners
92
What they do

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.

Core expertise

What they specialise in

5G/6G network architecture and managementprimary
4 projects

Core contributor across SELFNET (virtualized network management), SLICENET (network slicing), 5G-INDUCE (industrial 5G platforms), and 6G BRAINS (reinforcement learning for 6G networks).

AI for telecommunicationsprimary
3 projects

Applied multi-agent deep reinforcement learning in 6G BRAINS, AI-driven network slicing in SLICENET, and federated AI for IoT security in ARCADIAN-IoT.

Autonomous systems and drone-based inspectionsecondary
1 project

Coordinated RAPID, developing risk-aware automated drones for port and harbour infrastructure inspection — their largest funded project at EUR 1.1M.

IoT and cyber securitysecondary
1 project

Contributed to ARCADIAN-IoT on autonomous trust, privacy management, cyber threat intelligence, and functional encryption for IoT ecosystems.

Social inclusion in sportsecondary
1 project

Participated in EventRights, researching diversity, human rights, and equality in the hosting of mega sports events.

Evolution & trajectory

How they've shifted over time

Early focus
Software-defined networking
Recent focus
AI-driven 6G and autonomous systems

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.

Collaboration profile

How they like to work

Role: active_partnerReach: European23 countries collaborated

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.

Why partner with them

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.

Notable projects

Highlights from their portfolio

  • RAPID
    Their 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 BRAINS
    Positions UWS at the frontier of 6G research using multi-agent deep reinforcement learning for ultra-dense networks, terahertz and optical wireless communications.
  • ARCADIAN-IoT
    Combines federated AI, decentralized ledger technology, and functional encryption for IoT security — showing breadth beyond pure telecom into cybersecurity.
Cross-sector capabilities
Transport and maritime logistics (drone-based port inspection)Industrial manufacturing (5G for factories of the future)Cybersecurity and IoT privacySocial sciences and sport governance
Analysis note: Profile is based on 7 projects — enough to identify clear telecom/AI expertise but limited for assessing full institutional breadth. Four of seven projects lack keyword metadata, so the expertise map relies partly on project titles and descriptions. The social science thread (EventRights) appears distinct from their technical core and may represent a separate research group rather than integrated capability.