Summary
Javier Carretero is an Associate Professor and PhD aerospace engineer based in Madrid with eight years of professional experience focused on 4D trajectory management and advanced air traffic management (ATM) systems. He combines academic leadership—coordinating multiple master's and bachelor courses—with hands-on R&D and software engineering experience building avionics and simulation systems for projects like D-certified full-flight simulators and SESAR research. His work spans air navigation, probabilistic trajectory algorithms, meteorological uncertainty in trajectory planning, and applied machine learning for avionics and ATM validation. Notably, he has bridged industry and academia through roles at Lockheed Martin and CRIDA, translating operational protocol standards (ARINC/RTCA) into robust software and validation tools. Javier’s background in both optimal flight planning and critical software education gives him a rare blend of theoretical depth and practical systems delivery in air navigation and autonomous aerospace systems.
8 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD), Aerospace Engineer, Cum Laude, Doctor of Philosophy (PhD), Aerospace Engineer, Cum Laude at Universidad Politécnica de Madrid
Spanish, English, French