29th-30th JUNE 2027 – LONDON, UK

Sergio Ruiz

Sergio Ruiz

  • ATM and U-space Validation Expert
  • EUROCONTROL Innovation Hub

Sergio Ruiz is an expert in Air Traffic Management (ATM) and U-space integration, currently contributing to research and innovation activities at the EUROCONTROL Innovation Hub. He holds a PhD in Telecommunications and Systems Engineering, as well as degrees in Economics and Computer Science, bringing a multidisciplinary perspective to aviation systems.
His experience spans academia, industry, and regulatory environments, where he has worked as an ATM R&D strategic advisor, project manager, and university lecturer. His work focuses on the development and validation of advanced ATM and U-space concepts, including digital coordination services, airspace management solutions, and system interoperability.
Sergio is a recipient of the SESAR Scientist Award and has contributed to several scientific publications and international conferences. He is currently involved in the SESAR ENSURE project, where he supports regulatory and standardisation validation activities related to ATM–U-space integration, with a particular focus on dynamic airspace reconfiguration and digital information exchange mechanisms.

Sessions

  • AI/ML and Autonomy in Avionics

    Enabling ATM-U-space Interoperability: Validation of Digital Coordination Services

    Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integrated into avionics systems and safety-critical environments to enhance capabilities. AI/ML is being used at the aircraft, not just in it, including sensor fusion, target recognition, predictive maintenance, flight control, adaptive mission systems, and autonomous UAVs. EUROCAE WG-114 is formalizing the first AI-specific aviation standard (target release: mid-2026) to support regulatory alignment. WG-132 is concurrently developing joint guidance with SAE for ML-enabled automated aircraft inspections using UAS and robotics. How can AI continue to develop to assist avionics technology developments? How do we develop AI/ML and usage standards, ensuring ED-12C/DO-178C and ED-215/DO-330 compliance, when there is a lack of data?