The Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M) is hiring four Assistant Professors for the 2025/26 academic year. This opportunity is part of UC3M’s commitment to attracting talented researchers and educators eager to contribute to the Department’s excellence in teaching and research. We are looking for candidates across various fields of aerospace engineering, butContinue reading “Open positions for Assistant Professors in Aerospace Engineering”
Tag Archives: AI
Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations
The article discusses the growing impact of artificial intelligence (AI), focusing on one application: weather reconstruction. AI, particularly neural networks, is used to improve the accuracy and availability of weather data, which has broad implications, such as reducing airport delays and related costs. Traditional weather stations only provide data from limited locations, so AI helpsContinue reading “Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations”
Education Week: How do aircraft contrails affect climate change?
On the occasion of Education Week, the Aircraft Operations Lab UC3M participated in the science fair “Madrid es Ciencia” 2024, which took place at IFEMA. There, we showed children and teenagers the potential of artificial intelligence (AI) in R&D and its potential to help mitigate the climate impact of aviation. How do aircraft contrails affectContinue reading “Education Week: How do aircraft contrails affect climate change?”
Success Stories from SESAR Innovation Days 2023
On November 27 to 30 we attended the SESAR Innovation Days 2023 at the University of Seville featuring two standout projects from the Universidad Carlos III de Madrid’s Aircraft Operations Lab—E-CONTRAIL and KAIROS. Driving commitment to the near future of green aviation through E-CONTRAIL Under the UC3M’s coordination, E-CONTRAIL showcased its commitment to sustainable aviationContinue reading “Success Stories from SESAR Innovation Days 2023”
CNN-based architectures can be used to increase the prediction lead time of thunderstorms
Our latest research shows that Convolutional Neural Networks (CNN)-based architectures can be used to increase the prediction lead time of thunderstorms in the aviation field. These results are published in the journal paper titled “Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks”. A study written by Aniel Jardinesa, Hamidreza Eivazib, Elias Zeab, Javier García-Herasa,Continue reading “CNN-based architectures can be used to increase the prediction lead time of thunderstorms”