People behind the research
A multidisciplinary community advancing secure, resilient and intelligent distributed systems.
The SYSTRON Lab is an established research laboratory with a multidisciplinary team of around 20 researchers, focused on advancing secure, resilient, and intelligent distributed systems for future digital infrastructure. Our work addresses key UK and global priorities across telecommunications, IoT, edge-cloud systems, AI-native networking, Internet governance, and cyber security, with a strong emphasis on interoperable, deployable, sustainable, and societally relevant solutions.
We tackle fundamental challenges facing modern networked systems, including scalability under uncertainty, trust and security in open and autonomous systems, machine-speed automation, and resilience across heterogeneous and interconnected environments. Our research integrates foundational methods with experimental validation, ensuring that new ideas are rigorously tested against real-world constraints and contribute to both scientific understanding and practical capability.
We work closely with industry partners, standards bodies, and national and international research programmes, contributing to areas such as 5G/6G security, Open RAN, zero-trust and zero-touch network management, edge intelligence, and sustainable digital systems. Through these collaborations, we translate research outcomes into economic, societal, and policy impact, supporting the UK's leadership in secure digital infrastructure and future communications.
Alongside research excellence, Systron Lab is committed to capacity building, skills development, and inclusive research practice, supporting doctoral and postdoctoral researchers and fostering interdisciplinary collaboration. We aim to create an open, supportive environment where researchers at all career stages can thrive, while delivering trusted, adaptive, and resilient systems by design that have impact beyond academia.
Our community
SYSTRON Lead
Current research is on making the Internet of Things (IoT) and edge computing systems resilient, reliable and robust.
PhD Student
Current research on data protection and the GDPR, ontologies, and blockchain technology.
PhD Student
Researching on enhancing resilience in software-defined Internet of Things networks against link failure.
Research Associate
Primary research interests are in cryptography and cybersecurity. Within SystronLab, current work centres on improving the security, resilience, and trustworthiness of communication and networked systems, particularly in the context of O-RAN architectures and IoT environments.
PhD Student
Current research focuses on the security of next-generation mobile networks, with a particular emphasis on O-RAN (Open Radio Access Network) architectures and 6G security. This work investigates threats, vulnerabilities, and defensive mechanisms in open and disaggregated RAN environments, contributing to building more secure and trustworthy future wireless infrastructure.
PhD Student
PhD researcher specialising in energy-efficient AI systems, carbon-aware computing, and intelligent orchestration for large-scale machine learning workloads. My research focuses on building sustainable and resource-efficient foundations for modern AI infrastructure, particularly in the areas of LLM serving, micro-service optimisation, and distributed edge-cloud environments.
PhD Student
Current research on data sharing in Autonomous vehicles through blockchain technologies.
Affiliate / Research Fellow
Project lead on green communications for 6G networks
Research Software Engineer
Building 5G and 6G research testbeds with a focus on Open RAN and cloud native telecom systems.
Research Associate
Primarily works on decentralized/semi-decentralized resource allocation and dynamics of edge caching and computing networks. Current research on security-aware network orchestration for MEC and edge AI.
PhD Student
Current research is on application interoperability over heterogeneous IoT spaces.
Research Support Assistant
Research Support Assistant, focusing on areas within O-RAN and Machine Learning within forecasting renewable energy sources.
Research Associate
Current research is on making 6G networks energy-efficient and secured
Senior Experimental Officer
Researching on embedded systems, FPGA Design, high-speed digital design, ultra low-power sensor systems.
Our wider community
Research Associate
Affiliate / PhD Student
Affiliate
Research Software Engineer
Research Associate
Research Associate
Research Associate
PhD Student / Research Associate
Research Software Engineer
Affiliate
Affiliate / Visiting PhD Student
Affiliate / Visiting Professor
Research Associate