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__Spirent Academia Forum 2025 – 9.30am-5pm @NPL, Teddington __

The Spirent Academia Forum 2025 is your opportunity to join top academic and technical minds advancing the future of Positioning, Navigation, and Timing (PNT) innovation. Held at the renowned National Physical Laboratory (NPL), this annual event brings together researchers, faculty, students, and Spirent collaborators to share pioneering work, explore new challenges, and celebrate academic excellence.

This year, the Academia Forum is proudly part of SYNCHRONISE, a three-day event created by Spirent, NPL and the RIN. Hosted by NPL, the agenda is as follows: 

__Day 1 – Spirent Academia Forum (Wed 22 Oct)__

A full-day program dedicated to academic research, collaboration, and future innovation in PNT.
- Keynote presentations from Spirent leaders and guest researchers
- Research showcases from Academia Program participants
- Expert-led panel discussions on future PNT systems
- Networking and technical discussions with leading academics 

__Day 2 – RIN Next Gen Nav (Thurs 23 Oct)__

Next Gen Nav is the RIN’s flagship conference showcasing early career research and innovation in the PNT space connecting early career professional and industry leaders. 

Conference highlights: 

- bridging the gap between early career professionals and employers 
- honing presentation skills and forging useful contacts 
- offering insights into the state of the industry from both an employer and early career professional perspective 

__Day 3 – Training & Networking (Fri 24 Oct)__

A hands-on day of workshops, tutorials, and facilitated networking aimed at skill-building and fostering collaboration across industry and academia.

[Register your spot now!](https://www.eventbrite.co.uk/e/synchronise-tickets-1540120534979?aff=oddtdtcreator)


Spirent Academia Forum 2025 

The Spirent Academia Forum offers a unique opportunity to connect with leading researchers, showcase cutting-edge work, and shape the future of PNT innovation.

AI demand is growing at a pace never seen before. Data centers, chipsets, power grids, and supply chains are being stretched to their limits as the race to scale accelerates. We are learning as we build—yet the cost, complexity, and environmental impact highlight the need for smarter, more sustainable approaches.

Through expert presentations, cross-industry panels, and analyst insights, the forum explores the full stack of AI infrastructure. We’ll examine strategies for upgrading legacy data centers, designing greenfield facilities, scaling edge deployments, and ensuring multi-site synchronization and operational efficiency. We’ll also tackle the political, regulatory, and societal pressures shaping how AI infrastructure is deployed worldwide.

RCR’s AI Infrastructure Forum 2025 brings together the full ecosystem to define the roadmap for building AI’s backbone and confront this defining challenge: expanding AI infrastructure sustainably, efficiently, and at scale. 

Spirent will be participating in two sessions:  

__Automating the entire network lifecycle: Leveraging AI within the infrastructure__  
A presentation by Anil Kollipara

__Topics include:__ Overcoming hybrid cloud and legacy hardware integration challenges; Using unified observability to detect threats and optimize performance; Building self-healing, event-driven networks that prevent outages; Standardization and consolidation for efficient, resilient operations; AI-driven analytics to enhance automation and resilience in data center operations; Simplifying network.     

__Stress-testing networks for AI workloads__  
A presentation by Stephen Douglas 

__Topics include:__ Why AI workloads stress networks differently: burstiness, uplink intensity, synchronization across sites; Performance and reliability: ensuring throughput, low latency, and resilience at scale; Security risks: AI-driven attacks, adversarial traffic, and data poisoning across inference pipelines; Testing approaches: traffic emulation, digital twins, large-scale stress tests, and AI-assisted monitoring.


RCR’s AI Infrastructure Forum – From training to inferencing: Scaling AI sustainably

RCR’s AI Infrastructure Forum 