National Edge Artificial Intelligence Hub

Call for papers: Workshop on Trust and Security in Electric and Autonomous Vehicles (EAVSec) Date: 19 May 2025 Location: Tromsø, Norway (co-located with CCGrid 2025) The EAVSec Workshop invites researchers, practitioners, and industry professionals to submit original work exploring trust and security challenges in Electric and Autonomous Vehicle (EV/AV) ecosystems. As these technologies integrate with cloud systems, energy grids, and urban infrastructure, they face critical security, privacy, and resilience issues. Submission Deadline: 7 February 2025 For more information about the workshop and to find more information about the submission process please visit EAVSec Workshop 2025 for details. https://lnkd.in/dRyDtWFQ

Business & Impact Manager Closing Date: 08 December 2024 https://lnkd.in/dHz74FhV   The Role Addressing real industry challenges with tailored cutting edge Edge AI solutions, this is not just a concept, but the vision behind the collaborative strategic initiative that is the National Edge AI Hub. Your role as Business and Impact Manager will lead on fostering and maintaining long term industry and sector relationships. You will both manage and expand the portfolio of strategic commercial contacts and service as their primary liaison in order to execute partnership initiatives. To be successful in this role you should have demonstrable experience of stakeholder management and excellent networking skills within technology sector. You should be resilient with commercial aptitude for success with outstanding interpersonal skills and influencing qualities.. You will need to present with passion the clear vision the drive behind the Hub and take a key role interfacing both internally and externally in order to support the initiatives of the project. You should be confident in delivering to timescales, working within set objectives while managing work load ensuring pace with an outcome focused approach. This collaborative project aims to support a robust and interconnected AI vision linking researchers, innovators and practioners. This is both an exciting and career developing opportunity, that requires an enthusiastic approach to enhancing your own development with opportunity to undertake training, along with learning new skills. A degree of flexibility and the ability to travel for the role, both nationally and internationally (including some evening, weekend, and multiple day trips) will be essential. This will be balanced through the University’s flexible working arrangements and practices: [link to appropriate web pages]   If you think this might be a good fit for you, we’d love to hear from you!

We are at the CyberFirst North East Conference today. If you are attending stop by our stand!

Best paper award at IoTSys 2024 IoTSys 2024 was a prestigious conference that brought together global experts in IoT systems, AI, and emerging technologies. It provided a platform for exchanging ideas and showcasing the latest advancements in these fields. Our team, consisting of Joao Tadeu Pereira Gollnick, Rajiv Ranjan and Devki Nandan Jha worked closely to develop an innovative solution addressing DDoS attacks in edge computing environments. The evaluation was conducted on a real-edge testbed, simulating various attack scenarios. Receiving the Best Paper Award reflects the recognition of the quality and impact of our research in the rapidly evolving IoT landscape. Abstract: Edge computing has evolved as a decentralised technology for processing data closer to its source, thus reducing latency and improving bandwidth utilisation. However, this shift also introduces new security challenges, particularly Distributed Denial of Service (DDoS) attacks. As there are numerous components, the effect of an attack on one component can be cascaded to other components which can severely disrupt the application execution. To handle that, this paper presents DEFID, a framework for DDoS attack detection and filtering in the edge computing environment. DEFID utilises Extended Berkeley Packet Filter (eBPF) to detect and filter the DDoS attack. Since eBPF allows efficient execution of custom monitoring and filtering programs executing directly within the Linux kernel, it provides a lightweight, high-performance and flexible framework for real-time network traffic analysis. The effectiveness of DEFID is analysed using three separate attack programs, Goldeneye, SlowLoris and Tor’s Hammer Attack in a test environment which shows that the proposed solution is able to accurately detect and filter various types of DDoS attack traffic with minimal overhead

The National EdgeAI Hub has a new Post-doctoral Research Fellow at the University of St Andrews. For more information please see the post below: https://lnkd.in/d5CcAPr9

AIOT Webinars in collaboration with EdgeAI Hub https://lnkd.in/dBXdJiVt Dr Tomasz Szydlo Edge AI - Anomaly Detection at the Edge The Internet of Things provides several new smart functionalities and applications that improve our daily lives and industrial processes. TinyML-enabled devices and edge computing can analyse sensor data in real-time, driving intelligent decision-making. In that context, anomaly detection algorithms open a plethora of new applications in Industry 4.0, predictive maintenance, healthcare, and others. The talk will discuss the applications, open challenges, and research directions.

AIOT Webinars in collaboration with EdgeAI Hub https://lnkd.in/dBXdJiVt Dr Tomasz Szydlo Edge AI - Anomaly Detection at the Edge The Internet of Things provides several new smart functionalities and applications that improve our daily lives and industrial processes. TinyML-enabled devices and edge computing can analyse sensor data in real-time, driving intelligent decision-making. In that context, anomaly detection algorithms open a plethora of new applications in Industry 4.0, predictive maintenance, healthcare, and others. The talk will discuss the applications, open challenges, and research directions.

Are you a student with a keen interest in #AI and #Computing? National Edge Artificial Intelligence Hub are hosting a free one-day event for students with speakers including Raj Ranjan, Charles Sellers, Tomasz Szydlo, Bo Wei, Dev Jha and Lorenzo Carnevale. Lectures will be given on cloud-edge intelligence and federated learning, along with an update on the Hub's research. Register for your free place at https://lnkd.in/evkiQKBt (limited availability)

Live streaming of the AIOT hybrid event: Edge AI: Pioneering Growth in New Technology Markets https://lnkd.in/effDTzUh

Join us tomorrow afternoon for this #AI event at the Urban Sciences Buildings on Newcastle Helix #edge #EdgeAI #cyberresilience