Timothé Krauth
Timothé Krauth
ZHAW
School of Engineering
Aviation Infrastructure
Technikumstrasse 71
8400 Winterthur
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
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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
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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.
Available from: https://doi.org/10.21256/zhaw-28805
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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
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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