The Aircraft Operation Lab team participated last week in the 5th ECATS International Association Conference, held from 27 to 29 January in Brussels. The conference brought together leading scientists and experts to exchange the latest research on the formation, evolution, and climate impacts of aviation. Our colleagues from the Department of Aerospace Engineering at UniversidadContinue reading “Aircraft Operations Lab’s Multiple Contributions to the 5th ECATS Conference”
Author Archives: mariaper873877d087
PhD Research recognised with the Luis Azcárraga Aeronautical Innovation Award 2025
We are pleased to share that Raúl Quibén Figueroa, PhD researcher at the Aircraft Operations Lab (UC3M), has been awarded the Premio Innovación Aeronáutica Luis Azcárraga 2025, granted by Fundación ENAIRE. The award recognises the paper “Feasibility studies on regional aircraft retrofitted with hybrid-electric powertrains”, co-authored with Andrea Cini and Rauno Cavallaro (Barcelona Supercomputing Center).Continue reading “PhD Research recognised with the Luis Azcárraga Aeronautical Innovation Award 2025”
University Teacher Training scholarships – FPU 2025
The Aerospace Engineering UC3M at Universidad Carlos III de Madrid invites expressions of interest from outstanding candidates to apply for a PhD position funded by the Spanish FPU (Formación de Profesorado Universitario) 2025 call, recently published by the Ministry of Science, Innovation and Universities. The FPU programme provides up to four years of full-time doctoralContinue reading “University Teacher Training scholarships – FPU 2025”
Robust Evaluation of Neural Networks Trained on the OpenContrails Dataset
Our latest study, “Robust Evaluation of Neural Networks Trained on the OpenContrails Dataset” has been published in IEEE Transactions on Geoscience and Remote Sensing In this work, Irene Ortiz Abuja examines the limitations of current contrail detection models trained on geostationary satellite data and discuss implications for real-world use and future dataset development. Complementary toContinue reading “Robust Evaluation of Neural Networks Trained on the OpenContrails Dataset”
ContrAI
What is ContrAI? The ContrAI repository provides an easy-to-use framework for performing contrail detection using the neural network models evaluated in our research paper, enabling users to seamlessly access satellite data, run inference on new satellite imagery, and export georeferenced outputs for visualization, cross-validation with other data sources, or comparison with alternative modeling approaches; theContinue reading “ContrAI”