Sebastian Gruber, MSc

Sebastian Gruber

University Assistant

S. Gruber, P. Feichtenschlager, C. Fabianek, E. Gringinger, C. Schütz:
Towards a Heuristic Optimizer for a Target Time Management System in Air Traffic Flow Management
In: Proceedings of the 43rd AIAA DATC/IEEE Digital Avionics Systems Conference (DASC 2024), San Diego, CA, USA, September 29 - October 3, 2024, 10 pages, DOI: https://doi.org/10.1109/DASC62030.2024.10749250, Best Paper in Session (Poster Session 1 – ATM, CNS, CSS), 2024.
S. Gruber, P. Feichtenschlager, C. Schütz:
Using Genetic Algorithms for Privacy-Preserving Optimization of Multi-Objective Assignment Problems in Time-Critical Settings: An Application in Air Traffic Flow Management
In: Proceedings of the ACM Genetic and Evolutionary Computation Conference 2024 (GECCO 2024), Melbourne, Australia, July 14-18, 2024, ACM Press, DOI: https://doi.org/10.1145/3638529.3654128, pp. 1246-1254, 2024.
S. Gruber, B. Neumayr, D. Wurhofer, J. Smeddinck:
Usability Testing of a Multi-Level Modeling Framework for Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health
In: Proceedings of the 17th Annual Conference on Health Informatics meets Digital Health (dHealth 2023), May 16-17, 2023, Vienna, Austria, Ed.: B. Pfeifer et al., Studies in Health Technology and Informatics, Vol. 301, IOS Press, pp. 121-122, ISBN 978-1-64368-386-7 (print) and 978-1-64368-387-4 (online), DOI: 10.3233/SHTI230023, 2023.
M. Schrefl, B. Neumayr, S. Gruber, M. Hartmann, I. Tukaric, T. Radisic:
Creating an ATC knowledge graph in support of the artificial situational awareness system
In: Proceedings of the International Scientific Conference "The Science and Development of transport" (ZIRP 2022), September 28-30, 2022, Sibenik, Croatia, Published in journal: Transportation Research Procedia (64), Edited by Marjana Petrovic, Irina Dovbischuk and André Luiz Cunha, Volume 64, Elsevier Publ., doi: https://doi.org/10.1016/j.trpro.2022.09.037, pp. 328-336, 2022
S. Gruber, B. Neumayr, J. Smeddinck:
Towards Integration-Preserving Customization of Just-in-Time Adaptive Interventions with Composite Clabjects in RDF and SHACL
In: Proceedings of the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS 2022 Companion), October 23–28, 2022, Montreal, QC, Canada, ACM Press, Demo Paper at MULTI-Workshop, 5 pages, DOI: doi.org/10.1145/3550356.3561608, pp. 458-462, 2022.
S. Gruber, B. Neumayr, S. Reich, J. Niebauer, J. Smeddinck:
Towards Adaptability of Just-in-Time Adaptive Interventions
In: Proceedings of the 16th Annual Conference on Health Informatics meets Digital Health (dHealth 2022), May 24-25, 2022, Vienna, Austria, Studies in Health Technology and Informatics, Vol. 293, IOS Press, pp. 169-170, DOI: 10.3233/SHTI220364, 2022.
S. Gruber, B. Neumayr, M. Schrefl, J. Niebauer:
Towards Multi-level Modeling of Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health
In: Proceedings of the ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS 2021), Virtual Conference, October 10-15, 2021, IEEE Press, ISBN 978-1-6654-2484-4, DOI: 10.1109/MODELS-C53483.2021.00084, pp. 541-545, 2021.
S. Gruber, B. Neumayr, C. Fabianek, E. Gringinger, C. Schütz, M. Schrefl:
Towards Informed Watermarking of Personal Health Sensor Data for Data Leakage Detection
In: Proceedings of the 19th International Workshop on Digital-forensics and Watermarking (IWDW 2020), Nov 25-27, 2020, Melbourne, Australia, Editor(s): X. Zhao, Y.-Q. Shi, A. Piva, H. J. Kim, Springer Verlag, Lecture Notes in Computer Science (LNCS Vol, 12617), ISBN ISBN: 978-3-030-69449-4, DOI: https://doi.org/10.1007/978-3-030-69449-4, 2020.
S. Gruber:
Digital Watermarking of Medical Sensor Data for Data Leakage Detection - a Proof-of-Concept Prototype
(Master Thesis, 2020)
2023 - 2026HARMONIsed network through smart technology and Collaboration (HARMONIC)
Funding:Europäische Union (EU), HORIZON Europe, Research and Innovation Actions, SESAR3 Joint Undertaking
2020 - 2022AISA - AI Situational Awareness Foundation for Advancing Automation
Funding:EU Horizon 2020, SESAR JU
2019 - 2020MyPCH - My Personal Connected Health
Funding:EU Horizon 2020, NGI_TRUST
T. Harzfeld:
Evaluation of Conformance Criteria for Preference Indication in Collaborative Flight Prioritization in Air Traffic Flow Management
(Master Thesis, 2025)
Masterarbeit zur Erlangung des akademischen Grades Master of Science im Masterstudium Wirtschaftsinformatik
P. Feichtenschlager:
Using Genetic Algorithms for Privacy-Preserving Multi-Objective Optimization of Flight Lists in Air Traffic Flow Management
(Master Thesis, 2024)
Diese Publikation ist bis 30.09.2026 gesperrt.

Sebastian Gruber teaches the following courses on a regular basis: