On March 16, 2025, the Universidad Carlos III de Madrid celebrated the 25th edition of its annual Intercampus Race, a hallmark event promoting athleticism, solidarity, and community engagement. The race featured two courses: a 10-kilometer route starting from the Leganés campus and concluding at the Getafe campus, and a 5-kilometer route beginning midway, both traversingContinue reading “The Aircraft Operations Lab runs in the 25th Intercampus UC3M”
Author Archives: gestioningaeroespacial
Open positions for Assistant Professors in Aerospace Engineering
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”
Women and Rockets: 8M Workshop at CEIP Ángel González
On March 7th, as part of the initiatives for the International Women’s Day (8M), María Cerezo, professor at the Aircraft Operations Lab at Universidad Carlos III de Madrid, led a special workshop at CEIP Ángel González in Leganés. The young students, two classes of 3-year-olds, are currently working on a project about China. For thisContinue reading “Women and Rockets: 8M Workshop at CEIP Ángel González”
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”
Network-level aircraft trajectory planning via multi-agent deep reinforcement learning: Balancing climate considerations and operational manageability
Our latest study “Network-level aircraft trajectory planning via multi-agent deep reinforcement learning: Balancing climate considerations and operational manageability,” has been published in the Journal of Expert Systems with Applications. The study introduces a multi-agent deep reinforcement learning framework to plan climate-friendly flight routes while ensuring air traffic manageability. The findings show an 80% reduction in climate impact while maintainingContinue reading “Network-level aircraft trajectory planning via multi-agent deep reinforcement learning: Balancing climate considerations and operational manageability”