Sebastian Gruber, MSc

Universitätsassistent
- Science Park 3 - S3 106
- +43 732 2468 4280
- sebastian.gruber(at)jku.at
- Sprechstunden:nach Vereinbarung
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 (Masterarbeit, 2020) |
2023 - 2026 | HARMONIsed network through smart technology and Collaboration (HARMONIC) Fördergeber:Europäische Union (EU), HORIZON Europe, Research and Innovation Actions, SESAR3 Joint Undertaking |
2020 - 2022 | AISA - AI Situational Awareness Foundation for Advancing Automation Fördergeber:EU Horizon 2020, SESAR JU |
2019 - 2020 | MyPCH - My Personal Connected Health Fördergeber:EU Horizon 2020, NGI_TRUST |
T. Harzfeld: Evaluation of Conformance Criteria for Preference Indication in Collaborative Flight Prioritization in Air Traffic Flow Management (Masterarbeit, 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 (Masterarbeit, 2024) Diese Publikation ist bis 30.09.2026 gesperrt. |
Folgende Lehrveranstaltungen werden von Sebastian Gruber regelmäßig abgehalten:
PR | Data & Knowledge Engineering | Jedes Semester |
UE | Datenmodellierung | Wintersemester |
UE | Data & Knowledge Engineering | Sommersemester |