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Event Info Fri, Nov 7, 2025 • 13:00–17:00 • UCL Roberts Building Register here

UCL Roberts Building

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Believing in the power of machine learning in enhancing cybersecurity applications, we host a half-day event that includes a series of talks given by researchers working on the intersection of Machine Learning and Cyber Security. Each talk will include the current updates in the speaker field, the associated challenges, and the future directions.

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Details

Location: UCL Roberts Building.

Date: Friday, November 7, 2025.

Time: 13:00–17:00

Lightning talks, keynote presentations, and networking — details coming soon.


We invite all students, researchers, and professors — and invited guests — to attend!
Coffee/tea and snacks (vegan/gf options available) included for in-person attendees.


For inquiries, please contact: a.aldaihan23@imperial.ac.uk


Schedule

This symposium features informal lightning talks by researchers working at the intersection of machine learning and cyber security. The 2025 program is being finalized. The goal of this event is to connect those who work in this area; we look forward to your active participation!



Schedule coming soon — stay tuned.


Keynotes

Keynote speakers to be announced.

Check back soon for updates.

Sponsors


We gratefully acknowledge support from our sponsors:


Organisers

Abdullah Aldaihan

Abdullah Aldaihan

Abdullah is a PhD student in the Security & Machine Learning (SML) Lab at Imperial under the supervision of Dr. Maffeis. He received his MSc in computer science from Georgia Institute of Technology, and his BSc in computer science from King Saud University. Abdullah's focus is on utilizing Large Language Models (LLMs) for systems security.

Adam Jones

Adam Jones

Adam Jones is a PhD student at Imperial under the supervision of Dr. Sergio Maffeis and Dr. Giulio Zizzo. He received his MEng from Imperial in Computer Science. Adam's research is focused on the security of large language models for code generation.

Shae McFadden

Shae McFadden

Currently a Ph.D. candidate, supervised by Dr. Fabio Pierazzi and Dr. Nicola Paoletti, at King’s College London, investigating the applications of deep reinforcement learning to cybersecurity. A passion for the cross‑section between artificial intelligence and cybersecurity resulted in collaborations with the Systems Security Research Lab (S2Lab) at UCL and the AI for Cyber Defence Research Centre (AICD) at The Alan Turing Institute. Graduated from King’s College London with a first‑class B.Sc. (Hons) in Computer Science specialising in Artificial Intelligence. During undergraduate studies, was awarded the Layton Research Award, the Alan Fairbourn Memorial Prize, and the Associateship of King’s College.

Xin Fan Guo

Xin Fan Guo

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See you there