Sebastian Gruber, MSc

University Assistant
- Science Park 3 - S3 106
- +43 732 2468 4280
- sebastian.gruber(at)jku.at
- Consultancy hours:by appointment
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, Studies in Health Technology and Informatics, Vol. 301, IOS Press, pp. 121-122, 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) |
2020 - 2022 | AISA - AI Situational Awareness Foundation for Advancing Automation Funding:EU Horizon 2020, SESAR JU |
2019 - 2020 | MyPCH - My Personal Connected Health Funding:EU Horizon 2020, NGI_TRUST |
Sebastian Gruber teaches the following courses on a regular basis:
PR | Data & Knowledge Engineering | Every term |
UE | Data Modeling | Winter term |
UE | Data & Knowledge Engineering | Summer term |