Timothé Krauth

Personal profile

Expertise and research interests

Applied Mathematics, Statistics, Machine Learning, Deep Learning, Collision Risk Modelling

Educational background

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

Publications

• 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).

  Available from: https://doi.org/10.1016/j.mlwa.2022.100446

• 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.

  pp. 2.

  Available from: 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.

  pp. 7.

  Available from: https://doi.org/10.3390/engproc2021013007

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