Manuel Soler

SOLER ARNEDO, MANUEL FERNANDO

Full Professor
Director of the PhD in Aerospace Engineering
Office 7.1.H18 | Tel: +34 916248219
RT: Optimal control, trajectory optimization, air navigation

Contact: masolera@ing.uc3m.es

Biography

Manuel Soler is Full Professor in the Department of Aerospace Engineering at UC3M, where he serves as Director of the Doctoral Program in Aerospace Engineering (https://uc3m-phd-aerospace.es/). He is member of the research group in Aerospace Engineering (https: //aero.uc3m.es/), where he lead the UC3M Aeronautical Operations Laboratory (https://aircraftoperationslab.com/). He holds a BsC & MsC in Aerospace Engineering (UPM’07) and a PhD in Aerospace Engineering (URJC’13). He has been visiting scholar at ETH Zürich and the U.C. Berkeley, and visiting Professor at MIT. 

He is currently developing two lines of research: 1) the application of artificial intelligence techniques to problems related to aeronautical meteorology, air traffic management, and climate change; 2) the optimization of aircraft trajectories and climate change. Since he joined UC3M in 2014 as Assistant Professor, he has been PI of 17 competitive projects (9 European, 3 of them as coordinator) and has directed or is directing 17 doctoral theses. He has published >50 JCR articles, 3 book chapters and >60 articles in conference proceedings (up to date record at http://www.aerospaceengineering.es/publications/), many of these publications in international collaboration. 

He has a marked vocation for communication and transfer of results, highlighting: the open source libraries ClimaCCF, ROC, and ROOST, developed within the framework of FlyATM4E and ALARM SESAR projects; the dissemination activities at Researchers’ Night and/or Science Week; the dissemination of the results of the ALARM, START, E-CONTRAIL SESAR projects, which he has coordinated, and which include videos, radio interviews and press releases translated into several languages; and, finally, the co-creation of Spin-Off AI-Methods (https://www.ai-methods.com/).

More information at the UC3M research portal.

ORCID: 0000-0002-4664-1693

ResearcherID: I-4656-2019