On-going Competitive Projects as Principal Investigator (PI)

HYDROGENATING CM-UC3M – Aviation and climate change: HYDROGEN-powered aircraft model design and climate-optimal aircraft operations using ArTificial INtelliGence.
   

E-CONTRAIL- Artificial Neural Networks for the Prediction of Contrails and Aviation Induced Cloudiness. Horizon Europe (HORIZON) | Call: HORIZON-SESAR-2022-DES-ER-01 | Grant No 101114795.

KAIROS- Unlocking the potential of AI-based weather forecasts for operational benefits. Horizon Europe (HORIZON) | Call: HORIZON-SESAR-2022-DES-IR-01-WA5-1 | Grant No 101114701.

REFMAP- Reducing Environmental Footprint through transformative Multi-scale Aviation Planning. Call: HORIZON-CL5-2022-D5-01.

 

StormATS – Managing Storm Uncertainties for a Safe and Efficient Air Transport System. Convocatoria 2021 «Proyectos de Generación de Conocimiento»

INTELMET PoC – Improving the lead time and accuracy of thunderstorm predictions by utilising artificial intelligence. This work is the culmination of previously funded projects under I+D+i RETOS INVESTIGACIÓN 2018 and European Union’s.

Completed Projects as Principal Investigator (PI)

ALARM -Multi Hazard Monitoring and Early Warning System Horizon 2020. Call: H2020-SESAR-2019-2 (SESAR 2020 EXPLORATORY RESEARCH). Nov 2020 – Dec 2020. 1 Mi. €
 
FlyATM4E -Flying Air Traffic Management for the benefit of environment and climate. Horizon 2020. Call: H2020-SESAR-2019-2 (SESAR 2020 EXPLORATORY RESEARCH). May 2020 – Dec 2020.2 Mi. €
 
FMP-Met -Meteorological uncertainty management for Flow Management Positions. Horizon 2020. Call: H2020-SESAR-2019-2 (SESAR 2020 EXPLORATORY RESEARCH). May 2020 – Dec 2020. 1 Mi. €
 
ISOBAR -Artificial Intelligence Solutions to Meteo-Based DCB Imbalances for Network Operations Planning. Horizon 2020. Call: H2020-SESAR-2019-2 (SESAR 2020 EXPLORATORY RESEARCH). May 2020 – Dec 2020.2 Mi. €
START a Stable and resilient ATM by integrating Robust airline operations into the network. Horizon 2020. Call: H2020-SESAR-2019-2 (SESAR 2020 EXPLORATORY RESEARCH). May 2020 – Dec 2020. 2 Mi. €

MetATS – Managing meteorological uncertainty for a more efficient air traffic system. RTI2018-098471-B-C32. CONVOCATORIA 2018 DE PROYECTOS I+D+i «RETOS INVESTIGACIÓN» DEL PROGRAMA ESTATAL DE I+D+i ORIENTADA A LOS RETOS DE LA SOCIEDAD- MINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES. 2019-2021. 2019-2021.
STORMY – A pilot/dispatcher support tool based on the enhanced provision of thunderstorm forecasts considering its inherent uncertainty. Funded by Engage, The SESAR H2020 Research Knowledge Transfer. 2019-2021.
TBO-MET
TBO-MET – «Meteorlogical Uncertainty Management for Trajectory Based Operations.» Funded by the European Comission under call H2020-SESAR-2015-1. 2016-2018.
OPTMET – “ANALYSIS AND OPTIMIZATION OF AIRCRAFT TRAJECTORIES UNDER THE EFFECTS OF METEOROLOGICAL UNCERTAINTIES”. Ref.: TRA2014-58413-C2-2-R. Funded by the Spanish Ministry of Economy and Competitiveness, General Direction of Science and Innovation. 1/1/2015 – 31/12/2018. Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Stochastic Optimal Control towards Enhanced Predictability of four-dimensional Trajectories using of Weather Ensemble Prediction Forecasts.” Financed by Eurocontrol through HALA! Research Network. 01/09/2014-01/09/2016.

 Completed Projects as Researcher

POTRA, Parametric Optimization software package for TRAjectory shaping under constraints, financed by theEuropean Union’s Seventh Framework Programme (FP7/2007-2013) for the Clean Sky Joint Technology Initiative under grant agreement n° 270624. 2011-2013.
Plannin, Optimización en computación en paralelo de planificación bajo incertidumbre. Ministerio de Ciencia e Innovación. Plan Nacional I+D+i 2008 – 2011. MTM2009-14087-c04-01. 2009-2012.
Application of Leading Technologies to Unmanned Arial Vehicles for Research and Development in ATM (ATLANTIDA), financed by the Centro Para el Desarrollo Tecnologico e Industrial of the Ministerio de Ciencia e Inovación under the CENIT Programme. 2008-2012

R&D Contracts as PI