David Fleming manages the Time, Frequency and Acoustics Laboratory in the National Standards Authority of Ireland’ National Metrology Laboratory (NSAI NML). Holding a PhD. from the Technological University of Dublin, he has worked in the field of Metrology and Calibration in the NSAI NML for 15 years and has extensive experience in calibration, research, collaboration, mentoring, and project management.

Ricardo Verdeguer Moreno works as Product Line Manager at Spirent Communications providing Positioning, Navigation and Timing solutions for defence and space applications. He is an aerospace engineer, who graduated with honours from Cranfield University with an MSc in Autonomous Vehicle Dynamics and Control. His expertise encompasses market insights and technical proficiency in GNSS-based autonomous systems. Ricardo and Miguel will discuss key findings from their analysis, illustrating how 3D simulation enables researchers and system developers to anticipate performance degradations, design robust mitigation strategies, and test resilience under controlled, repeatable conditions.

Miguel Ángel Gómez earned his B.S. in Aerospace Engineering (2015) and M.S. in Robotics (2018), as well as his Ph.D. in Aerospace Engineering (2024) from the Polytechnic University of Madrid (UPM). He served as a Research and Teaching Assistant at the University of Kentucky (2015–2016), contributing to two NASA research projects. In 2021, he was an invited researcher at Yale University. Currently, he is a permanent researcher at the Spanish National Institute of Aerospace Technology (INTA), where he leads the PNT laboratory and directs work on navigation systems for rocket platforms and robust PNT. He has also participated in direct industry contracts and projects funded through competitive national programs.

Tarafder Elmi Tabassum is a researcher at Cranfield University focusing on computer vision and sensor fusion. She is currently working as a part-time research assistant at Cranfield University where she is involved in developing sensor fusion algorithms for e-scoter localisation. She received a master’s degree from The University of Manchester. Her PhD research at Cranfield involves alternative navigation solutions using visual sensors for UAV navigation. Her work includes integrating Kalman filters (KF) and machine learning (ML) algorithms, aiming to enhance robustness to ensure safe navigation under complex environments in the absence of global positioning satellite systems (GNSS).