Video Library

National Edge AI Hub Events

National Edge AI Hub Virtual Launch: Research Theme / Cyber-disturbance modelling for Edge Computing

Professor Shishir Nagaraja: Cyber-disturbance modelling for Edge Computing

To learn more about the National Edge AI Hub, please see our website: https://edgeaihub.co.uk/

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National Edge AI Hub Virtual Launch: Research Theme / Cyber-disturbance modelling for Edge Computing

Professor Shishir Nagaraja: Cyber-disturbance modelling for Edge ...

National Edge AI Hub Virtual Launch: Research Themes / Edge Computing for AI

Dr Tomasz Szydlo, Newcastle University: “Edge Computing for AI” To ...

National Edge AI Hub Virtual Launch: Research Theme / AI Driven Edge Data and Model Guard

Dr Varun Ojha, Newcastle University: "AI Driven Edge Data and Model ...

National Edge AI Hub Launch: EdgeAI International Research Landscape

EdgeAI International Research Landscape Prof Schahram Dustdar, ...

National Edge AI Hub Launch: The vision

Prof Raj Ranjan, Newcastle University: “The Vision for the National ...

Research Seminars

Service-Oriented Evolution of Modern AI

Service-Oriented Evolution of Modern AI, Zheng Li, Queen's University Belfast, UK
The National Edge AI Hub Webinar Series
December 3rd, 2025

Abstract: It is well known that understanding the evolution of technologies and ...its cause is essential for more discoveries and innovations. In the Artificial Intelligence (AI) domain, it has also been identified that scrutinising the development context and path of AI will be able to help both academia and industry better understand the current AI limitations, reveal future AI trends, and facilitate AI/digital transformations. Given the dramatic boom of modern AI, this webinar tends to potentially unearth the evolution pattern along the recent three AI waves (namely predictive AI, generative AI and agentic AI), and accordingly to guide AI research and development to focus on the most promising directions. We employed analogical reasoning as the research method and referred to the existing software architectural styles to inspire our understanding of the architectural evolution of modern AI technologies. We see a service-oriented trend in modern AI’s working mechanisms, and the offering of AI power seems to be transiting from a heavyweight and monolithic paradigm to an organisational and collaborative paradigm with more and more specific separation of concerns. Following this service-oriented evolution trend, we borrow software architecture lessons and foresee opportunities to grow the current AI wave to a further height, e.g., standardising AI agent-friendly APIs and developing serverless AI agents. Ultimately, we draw tentative conclusions: What is happening in the AI domain has happened before in the software engineering domain. It is worth reusing software architecture knowledge to evolve the architecture of AI technologies.

About the Speaker: Zheng Li received his Ph.D. degree and M.Phil degree from the Australian National University (ANU) and the University of New South Wales (UNSW) respectively. During the same time, he was a graduate researcher with the Software Systems Research Group (SSRG) at National ICT Australia (NICTA). He is now a lecturer at the School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, UK. Previously, he was a tenured assistant professor at the Department of Computer Science, University of Concepción, Chile. Before that, he was a postdoc researcher with the Cloud Control group at Lund University, Sweden. He was also a visiting research fellow with Software Institute at Nanjing University, China. Before studying abroad, he had around four-year industrial experience in China after receiving his M.Sc.Eng. degree from Beijing University of Chemical Technology and the B.Eng. degree from Zhengzhou University. His research interests include big data analytics, edge/cloud computing, empirical software engineering, and performance engineering.Show More

Service-Oriented Evolution of Modern AI

Service-Oriented Evolution of Modern AI, Zheng Li, Queen's University ...

Opportunities in On-Device Learning

Opportunities in On-Device Learning with Dr. Blesson Varghese, ...

Edge Computing for RF-based Human Sensing

National Edge AI Hub Webinar Series: Edge Computing for RF-based Human ...

National Edge AI Hub Webinar Series: Edge Computing for RF-based Human Sensing with Shuokang Huang from Imperial College London. His talk explores how edge computing and machine learning can enhance ...device-free RF sensing in IoT systems by extracting meaningful features from complex, interference-prone signals to improve detection accuracy and efficiency.

To learn more about the National Edge AI Hub, please see our website: https://edgeaihub.co.uk/

Follow our latest updates on Linkedin: https://www.linkedin.com/company/national-edge-artificial-intelligence-hub/

Abstract: In the Internet of Things (IoT), Radio Frequency (RF) sensing plays a crucial role by detecting objects/events with RF signals. One of the latest RF sensing approaches is device-free RF sensing which utilizes signals from existing edge devices (e.g., WiFi routers, mobile phones, smart watches). These edge devices were initially designed for wireless communication but not for sensing, so device-free RF sensing may fail to achieve satisfactory detection accuracy due to radio frequency interference (RFI). To improve the accuracy of device-free RF sensing, machine learning (ML) is a promising solution because ML can find approximately optimal solutions to the complex objectives of RF sensing, whose factors (e.g., frequency, signal-to-noise ratio) are too complicated to express with explicit mathematical formulations. To this end, we investigate edge computing to learn from the vast amounts of RF data (e.g., RF signals, channel states) and thereby extract informative features from overlapping signals, balancing sensing performance and communication overhead. Overall, our investigation not only poses new challenges for existing studies but also opens up new opportunities for future work.

About the Speaker: Shuokang Huang is a Ph.D. student supervised by Prof. Julie A. McCann in AESE Group, Department of Computing, Imperial College London. His research focuses on human sensing with WiFi channel state information (CSI), device-free radio frequency (RF) sensing, and applied machine learning on RF sensing. His previous experiences involve semi-supervised adversarial learning, federated learning, etc. In 2021, he received his M.Sc. degree in Computer Applied Technology from Peking University. In 2018, he obtained his B.Eng. degree in Electronic Information Science and Technology from Sun Yat-sen University.Show More

Advanced Network Technologies and Intelligent Computing 2024 Keynote

Advanced Network Technologies and Intelligent Computing 2024 Keynote: ...

Designing High-Performance and Scalable Middleware for the Modern HPC and AI Era

DK Panda is a Professor and University Distinguished Scholar of ...

Introduction to Edge Intelligence

Introduction to Edge Intelligence by Lorenzo Carnevale To learn more ...

Introduction to Federated Learning

Introduction to Federated Learning by Lorenzo Carnevale. To learn more ...

Research Seminar: Enhancing Analytics Speed Across Edge and Cloud Computing

Enhancing Analytics Speed Across Edge and Cloud Computing: Platform ...

AIOT & EdgeAI Hub

Edge AI: Pioneering Growth in New Technology Markets

Edge AI: Pioneering Growth in New Technology Markets

Event Overview:
As the Edge AI market emerges, businesses face unique challenges and opportunities. This roundtable discussion will bring together industry leaders, innovators, ...and strategists to explore how to foster significant growth in a bleeding edge technology landscape. The central theme will be “thinking big and starting small” to strategically scale and succeed.

Objective:

To provide insights and strategies for businesses to effectively navigate and capitalize on the emerging Edge AI market, fostering substantial growth from modest beginnings to scale.

Lenovo UK GM Ian Jeffs and Digica CTO Jim Carroll will be in the drivng seats of this Septembers roundtable.

Edge AI Roundtable Discussion

Event Title:

“Edge AI: Pioneering Growth in New Technology Markets”

Date and Time: September 19th 12pm - 2pm (we will be livestreaming 12:30-1:30

Venue: Newcastle University, Henry Daysh Building - HDB 1.04

We will also be livestreaming on Linkedin, Youtube and our website http://www.Aiothub.co.ukShow More

Edge AI: Pioneering Growth in New Technology Markets

Edge AI: Pioneering Growth in New Technology Markets Event Overview: ...

Edge AI - Anomaly Detection at the Edge

The Internet of Things provides several new smart functionalities and ...

Bringing AI to the masses: the rising importance of edge infrastructure

Devices proximate to users continue to increase in scale and capacity, ...

AIOT Webinars

IoT the hype no one knows about - Afzal Mangal

Roundtable Talk: "IoT – The Hype No One Knows About" with Afzal Magal and Industry Leaders

Join us for an insightful and thought-provoking roundtable discussion centered around Afzal Magal’s groundbreaking book, ...IoT – The Hype No One Knows About. This session brings together some of the brightest minds in technology to unpack the realities, myths, and future of the Internet of Things.

Afzal will be joined by three distinguished CTOs — Evan Unrue, Joe Allott, and Paul Wealls — for an open conversation about the challenges and missed opportunities in IoT today. Together, they’ll explore the key themes raised in the book, including why IoT hasn't delivered on its early promise, what's holding it back, and what the industry needs to do differently to unlock its true potential.

Expect candid insights, real-world experiences, and actionable takeaways on how to move beyond the hype and towards meaningful innovation in IoT.

Whether you’re a tech strategist, developer, investor, or simply curious about the state of IoT, this is a discussion you won’t want to miss.

if you like the create platform we use for our livesteams please use this link to get a $10 credit, Want to create live streams like this? Check out StreamYard: https://streamyard.com/pal/d/6236467866632192Show More