Raphael Monstein

Projects

• Making I-CNS A Reality: New aviation technology for integrated communication, navigation, and surveillance / Team member / ongoing
• White-box Helicopter System Identification / Team member / ongoing
• Concept and Feasibility Study of a Power Reserve Calculator for General Aviation / Team member / completed
• Novel Generic Collision Avoidance Algorithm / Deputy project leader / completed

Publications

Articles in scientific journal, peer-reviewed

• Figuet, B. et al. (2023) 'Data-driven mid-air collision risk modelling using extreme-value theory', Aerospace Science and Technology, 142, Part A(108646). doi: 10.1016/j.ast.2023.108646.
• Monstein, R., Capone, P. and Dettling, M. (2019) 'Determination of model structure from flight test with generalized additive models', Journal of Aircraft. doi: 10.2514/1.C035171.

Written conference contributions, peer-reviewed

• Felux, M. et al. (2025) 'Navigating turbulence : understanding new GNSS risks in conflict zones'. IEEE, pp. 245–264. doi: 10.23919/cycon65856.2025.11103718.
• Krummen, J. et al. (2025) 'Improving efficiency through the publication of expected distances for standard terminal arrival routes', in Journal of Open Aviation Science. TU Delft Open Publishing. doi: 10.59490/joas.2024.7894.
• Felux, M. et al. (2025) 'Navigating interference : examining in-flight GNSS spoofing patterns and signal disruptions', in Proceedings of the 2025 International Technical Meeting of The Institute of Navigation. Manassas: Institute of Navigation. doi: 10.33012/2025.19966.
• Krummen, J., Nölke, L. and Monstein, R. (2023) 'Aircraft wake vortices affecting airport wind measurements', in Journal of Open Aviation Science. TU Delft Open Publishing. doi: 10.59490/joas.2023.7212.
• Abà, A. et al. (2023) 'Convertiplane control during transition : the Collective and Throttle Lever (CATL)', in 49th European Rotorcraft Forum 2023 - Proceedings. Bonn: Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.
• Figuet, B., Monstein, R. and Steven, B. (2023) 'Data-driven airborne collision risk modelling using a probability density function', in 15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023. ATM Seminar. doi: 10.21256/zhaw-28806.
• Monstein, R. et al. (2022) 'Large landing trajectory dataset for go-around analysis', in Engineering Proceedings. MDPI, p. 2. doi: 10.3390/engproc2022028002.
• Figuet, B. et al. (2022) 'Impact of GNSS outage on mid-air collision', in Proceedings of the IWAC2022. Tokyo: Electronic Navigation Research Institute, pp. 41–48.
• Krauth, T. et al. (2021) 'Synthetic aircraft trajectories generated with multivariate density models', in Engineering Proceedings. MDPI, p. 7. doi: 10.3390/engproc2021013007.
• Figuet, B. et al. (2020) 'Predicting airplane go-arounds using machine learning and open-source data', in Proceedings. MDPI. doi: 10.3390/proceedings2020059006.
• Figuet, B., Monstein, R. and Felux, M. (2020) 'Combined multilateration with machine learning for enhanced aircraft localization', in Proceedings. MDPI. doi: 10.3390/proceedings2020059002.
• Barra, F. et al. (2019) 'Implementation of a comprehensive mathematical model for tilt-rotor real-time flight simulation', in 45th European Rotorcraft Forum, Warsaw, Poland, 17-20 September 2019. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-19753.

Research data

Monstein, Raphael; Figuet, Benoit; Krauth, Timothé; Waltert, Manuel; Dettling, Marcel, 2022. Large landing trajectory data set for go-around analysis. Zenodo. Available from: https://doi.org/10.5281/zenodo.7148117

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