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  4. Kevin Schütz

Kevin Schütz, BSc

Kevin Schütz
  • 01/2023 - 12/2023: Technician
  • 09/2021 - 12/2022: Project Member
  • 03/2021 - 08/2021: Student Assistant
K. Schütz, C. Schütz, S. Jaburek:
Privacy-Preserving Implementation of Local Search Algorithms for Collaboratively Solving Assignment Problems in Time-Critical Contexts
In: Proceedings of the IEEE 2023 Congress on Evolutionary Computation (CEC 2023), Chicago, IL, U.S.A., July 1-5, 2023, IEEE Press, 10 pages, ISBN 979-8-3503-1458-8, DOI: 10.1109/CEC53210.2023.10253978, 2023.
P. Feichtenschlager, K. Schütz, S. Jaburek, C. Schütz, E. Gringinger:
Privacy-Preserving Implementation of an Auction Mechanism for ATFM Slot Swapping
In: Proceedings of the 23rd Integrated Communications, Navigation and Surveillance Conference (ICNS 2023), Washington D.C., U.S.A., April 18-20, 2023, IEEE Press, 12 pages, DOI: 10.1109/ICNS58246.2023.10124262, 2023. Publication received Best Student Paper Award.
C. Schütz, T. Lorünser, S. Jaburek, K. Schütz, F. Wohner, R. Karl, E. Gringinger:
A Distributed Architecture for Privacy-Preserving Optimization Using Genetic Algorithms and Multi-party Computation
In: Proceedings of the International Conference on Cooperative Information Systems (CoopIS 2022), Bozen, Italy, October 4-7, 2022. Collocated with EDOC 2022. Editoren: Sellami, M., Ceravolo, P., Reijers, H.A., Gaaloul, W., Panetto, H., Springer Verlag, Lecture Notes in Computer Science (LNCS), Vol. 13591, DOI: https://doi.org/10.1007/978-3-031-17834-4_10, ISBN 978-3-031-17833-7, pp. 168-185, 2022.
2020 - 2022eTutor++ - An adaptive e-learning system with personalized exercising tailored to students’ individual learning curves
Funding:JKU Business School
2020 - 2022SlotMachine - A Privacy-Preserving Marketplace for Slot Management
Funding:EU Horizon 2020, SESAR JU