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”

Feasibility of integrating multiple climate impact estimation models to enhance confidence in environmentally-friendly aircraft trajectory optimization

Our latest study, “Feasibility of integrating multiple climate impact estimation models to enhance confidence in environmentally-friendly aircraft trajectory optimization,” has been published in Transportation Research Interdisciplinary Perspectives. In this work, Abolfazl Simorgh proposes a robust approach to enhance the reliability of climate-optimized flight planning by simultaneously accounting for two key sources of uncertainty: 1. Weather forecastContinue reading “Feasibility of integrating multiple climate impact estimation models to enhance confidence in environmentally-friendly aircraft trajectory optimization”

A deep multi-agent reinforcement learning framework for climate-aware aircraft trajectory planning considering air traffic complexity

Our latest research paper, “A deep multi-agent reinforcement learning framework for climate-aware aircraft trajectory planning considering air traffic complexity,” is now published in Knowledge-Based Systems. In this work, Fateme Baneshi proposes a framework to reconcile climate-optimal flight trajectories with the operational requirements of the ATM system. First, individual aircraft trajectories are optimized to mitigate climateContinue reading “A deep multi-agent reinforcement learning framework for climate-aware aircraft trajectory planning considering air traffic complexity”

UC3M at AeroBest 2025

Researchers from the Aircraft Operations Lab at Universidad Carlos III de Madrid travelled to Lisbon on April 22-24 to present cutting-edge work at AeroBest 2025, a leading conference on aerospace design optimization. Prof. María Cerezo Magaña shared her research on how wind affects optimal trajectories in extended formation flights, a promising approach to reduce fuelContinue reading “UC3M at AeroBest 2025”

Breaking Gender Barriers in Aviation: The Experience of Xiaoqing Deng

Xiaoqing Deng is a PhD student at the Aircraft Operations Lab UC3M who has built her career in aviation and aerospace engineering —fields still largely dominated by men. Having studied and worked in China, the U.S., the U.K., and now Spain, she has navigated the varied cultural and structural barriers that women in aviation face worldwide. Continue reading “Breaking Gender Barriers in Aviation: The Experience of Xiaoqing Deng”