M.J. (Marta) Ribeiro
M.J. (Marta) Ribeiro
Profiel
Expertise
- Congestion Management
- Flight planning and fuel efficiency
- Urban Air Mobility Integration
- Application of artificial intelligence/machine learning techniques in aviation
Link to pure: https://www.research.tudelft.nl/en/persons/mj-ribeiro
Link to google scholar: https://www.scholar.google.com/citations?user=5LvOlr0AAAAJ&hl=en
Link to researchgate: www.researchgate.net/profile/Marta-Ribeiro-10
Prijzen
- 1st Place at EUROCONTROL's Innovation Masterclass Competition "Conflict Resolution with Reinforcement Learning"
- Best Paper at International Conference on Research in Air Transportation (2022) in the Safety Section for the paper "Improving Safety of Vertical Manoeuvres in a Layered Airspace with Deep Reinforcement Learning"
Biografie
Marta is originally from Portugal, where she studied Aerospace Engineer at Instituto Superior Técnico. After completing her Master in Avionics, Marta worked at Portugália Airlines as an Operations Engineer, and later at Simteq developing simulators for pilot Training, and at CGI developing on the Galileo Project for ESA. In early 2023, Marta completed her PhD at TUDelft entitled "Conflict Resolution at High Traffic Densities with Reinforcement Learning". Marta is current an Assistant Professor at Air Transport and Operations. Her research focusses on employing artificial intelligence/machine learning to optimize operations in aviation.
Projecten
Title:
Colossus (https://colossus-sos-project.eu/)
Description: the expected outcomes of COLOSSUS provide Europe’s aviation sector with the platform to develop new and breakthrough product and technology in a holistic system-of-systems approach.
Past projects:
Title:
AW-Drones (www.aw-drones.eu)
Description: AW-Drones supports the rulemaking process for the definition of rules, technical standards and procedures for civilian drones to enable safe and reliable operations in the European Union.
Expertise
Publicaties
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2023
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2022
Distributed Conflict Resolution at High Traffic Densities with Reinforcement Learning
Marta Ribeiro / Joost Ellerbroek / Jacco Hoekstra
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2022
Improving Algorithm Conflict Resolution Manoeuvres with Reinforcement Learning
M.J. Ribeiro / J. Ellerbroek / J.M. Hoekstra
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2022
Improving Safety of Vertical Manoeuvres in a Layered Airspace with Deep Reinforcement Learning
D.J. Groot / M.J. Ribeiro / J. Ellerbroek / J.M. Hoekstra
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2022
Lateral and Vertical Air Traffic Control Under Uncertainty Using Reinforcement Learning
C. Badea / D.J. Groot / A. Morfin Veytia / M.J. Ribeiro / Ramon Dalmau / J. Ellerbroek / J.M. Hoekstra
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Onderwijs 2023
Prijzen
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2023
3rd Place Young Scientist Award 2023
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2022
1st Place at EUROCONTROL's Innovation Masterclass Competition 2022
1st Place at EUROCONTROL's Innovation Masterclass Competition "Conflict Resolution with Reinforcement Learning"
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2022
Best Paper Award
Best Paper at International Conference on Research in Air Transportation (2022) in the Safety Section
10th International Conference for Research in Air Transportation
Nevenwerkzaamheden
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2023-03-01 - 2025-03-01