Dr Edward Austin

Research Fellow - AI4ME

Research Overview

I currently lead research in data-driven cybersecurity.

I also work across:

1. Applied Agentic-AI - for cybersecurity and networked orchestration.

2. Security of AI Systems

3. Anomaly Detection - with a focus on telecommunications and power systems.

4. Data-driven mathematical modelling - with current projects including resilence measurement, or quality of multimedia experience.

I lead, or co-lead, a range of research projects with partners ranging from, KPMG, the BBC, Equans, and the UK Government. I have a track record for research impact with one of my methods currently deployed across the UK’s national telecommunications infrastructure, and I have authored code now used within BT’s operations. I currently lead a team of 5 PhDs, 3 MSc students, and 2 postdocs.

Invited Talk: RIPE92
Invited talk

Invited Talk: Detection of Anomalous Structures in Data Streams Workshop 2026
Invited talk

North-West Net Zero 2026 Lancaster
Participation in conference -Mixed Audience

Invited Talk: Security of Agentic-AI Systems
Invited talk

Invited Talk: Explainable Modelling and Monitoring of QoE
Invited talk

Quality of Multimedia Experience 2025
Participation in conference -Mixed Audience

Lancaster and BT Network Research Workshop
Participation in workshop, seminar, course

Invited Talk: AI for Anomaly Detection in OT
Invited talk

Invited Talk: Data-Driven Cost Modelling and Compute Provisioning for Object-Based Media Streaming
Invited talk

Invited Talk: RSS Conference 2024 - Anomaly Detection in Telecoms Data Streams
Invited talk

RSS International Conference 2023
Participation in conference - Academic

Centre for Advanced Studies (CAS)
Visiting an external academic institution

Anomaly Detection for 5G - Workshop with BT Research and their Open RAN Team
Participation in workshop, seminar, course

Invited Talk: CMStatistics2021 - Detecting Emergent Anomalous Functional Data
Invited talk

  • SCC (Networking)