People

Dr Poonam Yadav

SYSTRON Lead

Current research is on making the Internet of Things (IoT) and edge computing systems resilient, reliable and robust.

Dr Yifan Liu

Research Associate

Vijon Baraku

PhD Student

Current research on data protection and the GDPR, ontologies, and blockchain technology.

Suryachandra Prasad Pasupuleti

Affiliate / PhD Student

Rehab Alawadh

PhD Student

Researching on enhancing resilience in software-defined Internet of Things networks against link failure.

Reem Alhabib

PhD Student

Current research on data sharing in Autonomous vehicles through blockchain technologies.

Dr Rana Muhammad Sohaib

Affiliate

Dr Rana Muhammad Sohaib is a former Research Associate within the SYSTRON Lab, and now is a co-founder of VeLinkX and an affiliate of our lab. VeLinkX is a startup pioneering the future of connectivity and mobility through cutting-edge autonomous connectivity solutions by leveraging O-RAN.

Dr Panos Papanastasiou

Research Associate

Dr Panagiotis (Panos) Papanastasiou is a Research Associate within the SYSTRON Lab. His interest is Quantum Cryptography and specifically how we can enhance Network security by using hybrid settings of PQC and QKD in wireless communications.

Dr Olufemi Olayiwola

Affiliate / Research Fellow

Mohit Bidikar

Research Software Engineer

Building 5G and 6G research testbeds with a focus on Open RAN and cloud native telecom systems.

Dr Kavan Fatehi

Research Associate

Dr Kavan Fatehi is a Research Associate within the SYSTRON Lab working on the CHEDDAR project .His interest is self-supervised learning, representation learning and neuro-symbolic AI.

Joshua Levett

PhD Student

Current research is on networking protocols and routing, and Internet architectures and governance.

Evangelos Barmpas

PhD Student

Dr Bidushi Barua

Research Associate

Anthony Moulds

Senior Experimental Officer

Researching on embedded systems, FPGA Design, high-speed digital design, ultra low-power sensor systems.

Amit More

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.