The National Edge AI Hub is pleased to announce an exciting new collaborative publication opportunity in partnership with the Institution of Engineering and Technology (IET).

Rajiv Ranjan, Dhaval Thakker, Baseer Ahmad, and Gagangeet Singh Aujla are currently editing an upcoming book focused on Edge AI, which aims to showcase cutting-edge research and innovation across the Hub’s partner universities. This initiative provides a valuable platform to highlight the breadth of expertise and impactful work being delivered across the National Edge AI Hub community.

As part of this effort, the Hub is seeking to include at least one chapter contribution from each partner institution, ensuring the book reflects the full diversity and strength of the network. The final publication will be positioned as a collective output from the entire Hub.

Contribute Your Ideas

To shape the direction of the book, a bottom-up approach is being adopted. Researchers and colleagues across partner institutions are invited to propose potential chapter contributions.

Submissions at this stage are intentionally light-touch. Contributors are asked to provide:

• A suggested paper title or topic
• Responses to a short form (only four questions)

Proposals will then be reviewed and selected based on emerging themes and overall fit within the book.

Get Involved

All colleagues within partner universities are encouraged to participate, and we welcome this call being shared widely within your institution.

Submission deadline: 5 June
Submission form: Link Here

This is an excellent opportunity to contribute to a high-profile publication and to help present a unified, impactful voice for the UK’s Edge AI research community.

The National Edge AI Hub invites UK academic institutions to collaborate on the development and delivery of events and workshops focused on all aspects of edge artificial intelligence. We are keen to work with colleagues across disciplines who are exploring or interested in edge AI, from foundational research through to real world applications.

The Hub can support those interested in hosting an event with practical and financial aspects of event delivery, including identifying speakers, event logistics, catering costs, and promotional activity. Our aim is to make it straightforward to convene high quality, inclusive events that foster collaboration, share emerging insights, and strengthen the UK edge AI community. We expect local engagement partners to make spaces available for free, to organise and facilitate the agenda and to ensure relevant stakeholders join the event.

We welcome proposals for workshops, seminars, training sessions, and interdisciplinary forums. If you are interested in developing a joint event or would like to discuss an idea, please get in touch via email: hub@edgeaihub.co.uk

The National Edge AI Hub successfully delivered its two-day CPD programme, Turning AI Expertise into Ventures, bringing together engineers, researchers and emerging talent to explore how advanced technical capability can be translated into real-world impact.

Held on 18–19 May at the Hub’s headquarters in Newcastle, the programme marked a significant step in strengthening the UK’s edge AI ecosystem. Designed as an accessible yet intensive introduction to commercialisation, the CPD supported participants in moving beyond technical performance toward value creation, market understanding, and responsible innovation.

Across the two days, attendees developed practical skills in ideation, customer discovery, business modelling, and market validation. Sessions guided participants from early-stage ideas through to forming initial value propositions and understanding routes to growth. The programme also emphasised responsible AI, ensuring that innovation is aligned with ethical considerations and long-term societal benefit.

The sessions were led by an interdisciplinary team of experts: Dr Dinara Davlembayeva, Dr Davit Marikyan (Newcastle University Business School), and Dr Mujeeb Ahmed (School of Computing Science). Their combined expertise provided participants with a rare blend of technical insight and commercial perspective, equipping them with the tools to explore venture creation with confidence.
 
A standout highlight of the programme was the “Practice Insights” keynote sessions delivered by Hello AI, which were met with overwhelmingly positive feedback from participants.
 
Daniel Tudorana-Clark, Managing Director of Hello AI, delivered a highly engaging session on AI adoption, offering real-world insights into how organisations can successfully integrate AI technologies. Drawing on practical experience, his keynote bridged the gap between theory and implementation, demonstrating what it takes to drive adoption at scale.
 
Sean Gorman, Client Services Director at Hello AI, provided an equally impactful session on commercialising AI solutions. His talk explored how organisations can translate AI capability into viable products and services, highlighting common challenges and strategies for success.
 
Together, the Hello AI sessions were widely regarded as a key highlight of the programme, bringing clarity, relevance, and inspiration to participants considering their own ventures. Their contributions reinforced the importance of industry collaboration in supporting the next generation of AI innovators.

Beyond the sessions themselves, the programme formed part of a broader engagement pathway offered by the National Edge AI Hub. Participants leave with stronger problem definitions, early business models, and a shared language around markets and customers, forming a foundation for further development through mentoring, incubation support, and continued CPD opportunities.
 
By creating a clear pathway from technical expertise to venture formation, the programme directly supports the Hub’s mission: to build national capacity in edge AI and drive meaningful societal and industrial impact.

This article is based on a discussion with Professor Rajiv Ranjan, Director of the National Edge AI Hub. It explores the Hub’s origins and ambitions, looking at how its network of university and industry partners ia supporting organisations deploy real-time AI in the physical world.

For more information please visit this page.

With the support of the Taiwan-UK University Consortium as well as project partners such as the National Edge Artificial Intelligence Hub, Dr Lu, Dr Hao and Prof Papagiannidis are about to embark on a new international collaboration with National Taiwan University, exploring emerging challenges in the transition towards low carbon logistics systems. The initiative brings together expertise across energy, supply chains, and digital technologies, focusing on how increasingly complex systems can be better coordinated as countries move towards net zero targets. Both the UK and Taiwan face similar pressures, where advances in electrification and renewable energy are progressing longside persistent uncertainties in infrastructure, policy, and operations. The project is expected to examine how data driven tools and human decision making can be combined to navigate these challenges, particularly in contexts where timing, investment, and regulatory alignment remain difficult to predict. While still in its early stages, the collaboration aims to contribute to ongoing discussions around sustainable supply chains and the role of digital technologies in supporting more adaptive and resilient logistics systems.

The National EdgeAI Hub is excited to announced its 2026 pump priming call aiming to encourage research into Edge AI applications from non-technical perspectives. This initiative seeks to engage disciplines such as social sciences, medical sciences, and related fields to explore the societal, ethical, and practical implications of deploying AI at the edge. By supporting such projects, the Hub aims to broaden the impact of Edge AI beyond technical innovation, fostering insights into human, organisational, and domain contexts where these technologies can deliver meaningful benefits.

We are looking to fund projects lasting up to 12 months with £10k.

We strongly encourage applicants to develop proposals that foster interdisciplinary collaboration, bringing together expertise from diverse fields. Interdisciplinary approaches are essential for addressing the technical, societal, and ethical dimensions of Edge AI adoption and impact. In addition, we actively promote collaboration between academia and industry, as well as partnerships with public sector and civil society organisations. These collaborations help ensure that research is both innovative and practically relevant, enabling real-world application, knowledge exchange, and pathways to impact.

This call invites proposals to the three stands below.
Strand 1: Technology adoption and acceptance
Strand 2: Benefits realisation and technology assessment and impact
Strand 3: Responsible innovation

Applications must be submitted via email after the 1st of May 2026 and before the deadline 1st of June 2026.

For more information please visit the call’s page.

We are pleased to share that members of the National Edge AI Hub and international colleagues are guest editing a Special Issue in the Elsevier journal Ad Hoc Networks on Trustworthy and Resilient Edge AI Systems: Engineering, Validation, and Deployment under Cyber Disturbance and Data Degradation.

The Special Issue focuses on the growing need for edge AI systems that can operate reliably in dynamic and adverse environments. As edge intelligence is increasingly deployed across ad hoc, sensor, and IoT networks, systems must function under unreliable connectivity, partial failures, cyber-attacks, adversarial behaviour, and degraded or drifting data. This Special Issue provides a forum for researchers and practitioners to present advances in the engineering, validation, and real-world deployment of trustworthy and resilient edge AI systems.

Special Issue: Trustworthy and Resilient Edge AI Systems: Engineering, Validation, and Deployment under Cyber Disturbance and Data Degradation
Journal: Ad Hoc Networks (Elsevier)
Submission open date: 31 March 2026
Submission deadline: 30 September 2026

Learn more: special issue webpage

Guest editors:

• Dr Ellis Solaiman, Newcastle University, UK
• Prof. Omer Rana, Cardiff University, UK
• Dr Karan Mitra, Luleå University of Technology, Sweden
• Dr Lina Pu, The University of Alabama, USA
• Dr Savas Parastatidis, CVOYA LLC, USA

The Special Issue particularly welcomes contributions that move beyond idealised assumptions and demonstrate how edge AI systems remain robust, reliable, and dependable under adverse conditions. Submissions should be supported by realistic evaluation, deployment-oriented evidence, or convincing validation in representative testbeds.

The Special Issue also welcomes contributions on enabling architectures, communication protocols, runtime monitoring, and system-level optimisation techniques for edge AI systems, particularly where these influence trustworthiness, resilience, and real-world performance.

Topics of interest include, but are not limited to:

• Resilient architectures for edge AI over ad hoc and IoT networks
• Cross-layer approaches spanning networking, systems, and learning under disturbance
• Trust, robustness, and dependability in distributed edge intelligence
• Edge AI under unreliable connectivity, network churn, intermittent links, and partitions
• Cyber-attacks, adversarial behaviour, and Byzantine components in edge systems
• Handling noisy, missing, degraded, or compromised sensor data at the edge
• Data drift, concept drift, and model degradation in deployed edge AI systems
• Federated, collaborative, and decentralised learning under adverse conditions
• Monitoring, validation, assurance, and runtime governance of edge AI behaviour
• Experimental testbeds, real deployments, longitudinal studies, and reproducibility artefacts

Please submit your paper via Editorial Manager and select the article type “VSI: Trustworthy and Resilient Edge AI Systems”.

Important dates for the call for papers:

• 31/03/2026 – Submission open date
• 30/09/2026 – Paper submission deadline

Researchers working in edge AI, IoT, distributed systems, trustworthy AI, cyber resilience, and deployment-focused intelligent systems are encouraged to submit their work.

The National Edge AI Hub was honoured to lead a roundtable discussion at the UK Parliament on the forthcoming Cybersecurity and Resilience Bill, an essential development in strengthening the United Kingdom’s digital infrastructure and safeguarding the technologies that underpin innovation at the edge. This meeting was co-sponsored by House of Commons Research Hubs (Science, Digital & Technology; International Affairs & National Security; Home Affairs, Equalities & Justice) and POST. Held on March 18, 2026, in Portcullis House, the event convened 20 experts from academia, industry, and Parliament (including Hub Director Prof. Rajiv Ranjan) to debate AI deployment challenges, digital sovereignty, and the Cyber Security and Resilience Bill’s implications for innovation. This participation positions the Hub to directly inform forthcoming parliamentary legislation, bridging cutting-edge edge AI research with practical policy solutions for UK competitiveness and security.

We extend our sincere gratitude to our hosts and the Parliamentary team Varuna De Silva, Routh Lamont, Leslie Anne for the opportunity to contribute to this important national dialogue.

Our thanks also go to Christopher Day, Vice-Chancellor and President Newcastle University, for opening the session and to the academic experts and  to our distinguished panel of academics, Rajiv R., Carsten Maple, Professor Dhaval Thakker, Jennifer Williams, PhD, and Shishir Nagaraja and Savvas Papagiannidis, whose insights and expertise enriched the discussion significantly.

The National Edge AI Hub remains committed to working collaboratively across government, industry, and academia to advance secure and resilient AI innovation that supports the UK’s technological and economic ambitions.

A big thank you to Hub Manager Gaurav Kaushik for organising such a great event, together with colleagues from Parliament.

The National Edge AI Hub is launching a free two‑day CPD programme designed to help engineers and researchers turn strong technical skills into real‑world impact.

Across 18-19 May 2026 in Newcastle, participants will explore idea generation, market understanding, business models, technology adoption, responsible AI, funding routes and more, all focused on developing viable AI‑driven ventures.

Perfect for engineers, computer scientists, final‑year students, postgrads and recent graduates with little or no business experience.

USB Building (Newcastle University), Newcastle upon Tyne
Free to attend (both days required)

Agenda Highlights:

Day 1:
• Ideation & opportunity discovery
• Understanding customers, markets & competitors
• Business model development
• Hypothesis testing & user feedback
• Team formation

Day 2:
• Business models in practice
• Technology adoption & diffusion
• Prototyping & MVPs
• Responsible AI & legal considerations
• Funding, financial foundations & go‑to‑market strategies


Read more about the event and apply now: Edge AI / CPD – Turning AI Expertise into Ventures – EPSRC National Edge Artificial Intelligence Hub

If you’re ready to move from capability to commercial opportunity, this is your starting point.

The EPSRC National Edge AI Hub, through SOLARIS (Sustainable Optimisation & Learning with AI for Resilient Intelligent Systems), is proud to sponsor the Early Career Researcher reception at the International Conference on Energy Materials – Costa Rica (ICEMCR 2026), taking place February 25–27, 2026 in Jacó, Costa Rica. The conference brings together approximately 100 researchers from world-leading institutions including Georgia Tech, UC Santa Barbara, EPFL, University of Tokyo and Uppsala University to explore the frontiers of energy materials research, from solar cells and battery optimisation to catalysis and hydrogen systems and their integration with EdgeIoT. More details can be found at www.icemcr.com.

SOLARIS’s sponsorship of the ECR reception reflects our commitment to supporting the next generation of researchers working at the intersection of energy materials and AI-driven methods. The reception will provide a dedicated networking platform for early career researchers, fostering connections and collaborative opportunities in areas where edge AI is increasingly transforming the field — including autonomous experimentation, real-time materials characterisation, and optimisation of distributed energy systems.

Through this sponsorship, SOLARIS will introduce its research themes and highlight opportunities for engagement, reinforcing Newcastle University’s presence at the forefront of both energy research and AI innovation. The conference is co-organised by Prof. Marina Freitag (Newcastle University, SOLARIS Theme Lead), establishing a natural institutional connection between the hub and the energy materials community.