Timothé Krauth

Aus- und Weiterbildung

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

Angewandte Mathematik, Statistik, Maschinelles Lernen, Deep Learning, Kollisionswahrscheinlichkeit

Aus- und Fortbildung

MSc ICM, Ecole des Mines de Saint-Etienne, 2020
MSc Statistical learning, ENSAE Paris, 2020
MSc Data Science, Institut Polytechnique Paris, 2020

Publikationen

• Krauth, Timothé; Lafage, Adrien; Morio, Jérôme; Olive, Xavier; Waltert, Manuel,

  2023.

  Deep generative modelling of aircraft trajectories in terminal maneuvering areas.

  Machine Learning with Applications.

  11(100446).

  Verfügbar unter: https://doi.org/10.1016/j.mlwa.2022.100446

• Krauth, Timothé; Figuet, Benoit; Olive, Xaviet; Morio, Jérôme,

  2023.

  Collision risk assessment in terminal manoeuvring areas based on trajectory generation methods [Paper].

  In:

  15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023.

  ATM Seminar.

  Verfügbar unter: https://doi.org/10.21256/zhaw-28805

• Monstein, Raphael; Figuet, Benoit; Krauth, Timothé; Waltert, Manuel; Dettling, Marcel,

  2022.

  Large landing trajectory dataset for go-around analysis [Paper].

  In:

  10th OpenSky Symposium, Delft, The Netherlands, 10-11 November 2022.

  MDPI.

  S. 2.

  Verfügbar unter: https://doi.org/10.3390/engproc2022028002

• Krauth, Timothé; Morio, Jérôme; Olive, Xavier; Figuet, Benoit; Monstein, Raphael,

  2021.

  Synthetic aircraft trajectories generated with multivariate density models [Paper].

  In:

  9th OpenSky Symposium, Brussels, Belgium, 18-19 November 2021.

  MDPI.

  S. 7.

  Verfügbar unter: https://doi.org/10.3390/engproc2021013007

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