AutoCube: Feasibility Study of Autonomic Computing for Next-Generation Micro-Satellites
Theme: Smart and Resilient Networks
AutoCube investigates lightweight autonomic computing solutions tailored for micro-satellites operating in constrained space environments. The project develops and validates a comprehensive feasibility framework for onboard self-management in Low Earth Orbit, aiming to enhance resilience and autonomy while advancing space system capabilities from TRL 2 to TRL 3.
More about the Project Lead:
Dr Tomasz Szydlo is an Associate Professor in the School of Computing at Newcastle University, specialising in intelligent and distributed systems, with expertise in edge–cloud computing, IoT, and resilient AI infrastructures. His research focuses on adaptive, resource-aware systems for deploying AI in dynamic, real-world environments, including cyber-physical and smart infrastructure applications. His work is informed by industrial experience supporting the translation of advanced research into practical impact. He also serves as a Co-Lead in the EPSRC-funded National Edge AI Hub, where he works on TinyML algorithms.
