Artificial Intelligence in ATM - Part 2

Event description

The use of advanced technologies to modernise aviation and ATM is at the heart of SESAR’s digitalisation strategy. The SJU has funded a number of research projects which have applied AI to address a plethora of issues in ATM, aiming to reshape the future of aviation. A selection of exploratory and industrial research project results will be presented, providing a flavour of concrete benefits AI is starting to bring to aviation.

Big data analytics to study intermodal passenger behaviour

Ricardo Herranz, Project lead BigData4ATM, Nommon

Machine learning in speech recognition

Hartmut Helmke, Project Leader, DLR

Aneta Cerna, Project leader, ANS of the Czech Republic

Deep neural networks in complexity management

Seddik Belkoura, Data Science Specialist, MUAC, EUROCONTROL

Machine learning to improve the take-off time prediction

Ramon Dalmau Codina, Data Scientist, EUROCONTROL

Moderator: Ruben Flohr, ATM Expert, SESAR Joint Undertaking

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