Talks and presentations
This is a list of my conference participations and other presentations, where I was at least involved in the corresponding proceeding.
Project presentation of RoboBoatAssist in the TV show “Einfach genial!” (MDR).
Presentation of our add-on BlAInder at BCON 2022:
Presentation of machine learning prediction models in air traffic management on the Applied Machine Learning Days (AMLD) 2021:
Scientific Conferences:
S. Reitmann and T. Mihaylova. “WASP AISA: AI-Powered Situational Awareness for Man-Machine Interaction in Shared Autonomy”. In: WASP-Aalto Workshop. Stockholm, Sweden, 2024.
S. Reitmann and L. Neumann. “Generating synthetic data for deep learning”. In: Blencer Conference (BCON). Amsterdam, Netherlands, 2022.
S. Reitmann “An Adaptive Framework for Optimization and Prediction of Air Traffic Management (Sub-)Systems with Machine Learning “. In: Applied Machine Learning Days (AMLD). Lausanne, Schweiz, 2022 (invited talk).
S. Reitmann und B. Jung. “Generating synthetic labeled data of animated fish swarms in 3D worlds with particle systems and virtual sound wave sensors”. In: 2nd International Conference on Cyber-Physical Systems & Control (CPSC). St. Petersburg, Russland, 2021.
S. Reitmann, E. V. Kudryashova, B. Jung und V. Reitmann. “Classification of Point Clouds with Neural Networks and Continuum-Type Memories”. In: Artificial Intelligence Applications and Innovations (AIAI). Kreta, Griechenland, 2021.
S. Reitmann, M. Schultz und S. Alam. “Advanced Quantification of Weather Impact on Air Traffic Management - Intelligent Weather Categorization with Machine Learning”. In: Conference Proceeding at 13th USA/Europe ATM Research and Development Seminar (ATM2019). Wien, Österreich, 2019
S. Reitmann. “Machine Learning in modern Data-Based Air Traffic Management”. In: 2nd Machine Learning Community (MLC) Workshop. Dresden, Deutschland, 2019.
S. Reitmann und M. Schultz. “Real-Time Prediction of Aircraft Boarding”. In: Digital Avionics Systems Conference (DASC). London, UK, 2018.
S. Reitmann und M. Schultz. “Recurrent Neural Network based Aircraft Boarding Prediction”. In: Air Transport Research Society (ATRS). Seoul, Süd Korea, 2018.
M. Schultz und S. Reitmann. “Prediction of Aircraft Boarding time Using LSTM network”. In: Winter Simulation Conference. Göteborg, Schweden, 2018.
M. Schultz und S. Reitmann. “Prediction of passenger boarding progress using neural network approach”. In: International Conference on Research in Air Transportation (ICRAT). Barcelona, Spanien, 2018.
S. Reitmann. “Ableitung eines mathematischen Wirkungsmodells durch systematische Analyse von Leistungsindikatoren”. In: Deutscher Luft- und Raumfahrtkongress (DLRK). München, Deutschland, 2017.
S. Reitmann und M. Schultz. “Stability Analysis of Recurrent Neural Networks for Time Series based System Control in Aviation”. In: International Science & Progress Conference. St. Petersburg, Russland, 2017.
S. Reitmann, A. Gillissen und M. Schultz. “Performance Benchmarking in Interdependent ATM Systems”. In: International Conference on Research in Air Transportation (ICRAT). Philadelphia, USA, 2016.
S. Reitmann und K. Nachtigall. “Multivariate Time Series Prediction with Long Short-Term Memory (LSTM)”. In: International Science & Progress Conference. St. Petersburg, Russland, 2016.
P. Bießlich u. a. “Developing Generic Flight Schedules for Airport Clusters”. In: Council of European Aerospace Societies (CEAS). Delft, Niederlande, 2015.