Institut für Technik der Informationsverarbeitung

Fabian Kempf, M.Sc.

  • Engesserstr. 5

    76131 Karlsruhe

M. Sc. Fabian Kempf



  • Geboren Mai 1990 in Stuttgart, Deutschland
  • Master-Studium der Elektrotechnik und Informationstechnik am KIT
    • Master-Abschluss im April 2017
    • Titel der Master-Arbeit: "Schätzung der Eigenbewegung von Handheld Devices"
  • Bachelor-Studium der Elektrotechnik und Informationstechnik am KIT
    • Bachelor-Abschluss im August 2014
  • Mitarbeiter am ITIV seit 2017


Betreute abgeschlossene studentische Arbeiten

  • MA: "Analysis, Conceptual Design and Evaluation of an Hardware/Software Codesign for a Direct Visual Odometry Algorithm"
  • MA: "Efficient Modelling of Deep Neural Network Architectures for Machine Learning Applications"
  • BA: "Konzept und Implementierung eines Cache basierten fault-tolerant Mechanismus für den LEON3 Prozessor"
  • BA: "Konzeption und Implementierung einer dynamischen Lockstep-Architektur für ein LEON3 Many-Core System;Concept and Implementation of a Dynamic Lockstep Architecture for a LEON3 Many-Core System"




Conference Papers
Embedded Image Processing the European Way: A new platform for the future automotive market.
Hotfilter, T.; Kempf, F.; Becker, J.; Reinhardt, D.; Baili, I.
2020. Virtual World Forum on Internet of Things
Journal Articles
Worst-Case Execution-Time-Aware Parallelization of Model-Based Avionics Applications [in press].
Reder, S.; Kempf, F.; Bucher, H.; Becker, J.; Alefragis, P.; Voros, N.; Skalistis, S.; Derrien, S.; Puaut, I.; Oey, O.; Stripf, T.; Ferdinand, C.; David, C.; Ulbig, P.; Mueller, D.; Durak, U.
2019. Journal of aerospace information systems, 1–14. doi:10.2514/1.I010749
Conference Papers
A Network on Chip Adapter for Real-Time and Safety-Critical Applications.
Kempf, F.; Anantharajaiah, N.; Masing, L.; Becker, J.
2019. 32nd IEEE International System on Chip Conference, SOCC 2019; Singapore; Singapore; 3 September 2019 through 6 September 2019. Ed.: D. Zhao, 39–44, IEEE, Piscataway (NJ). doi:10.1109/SOCC46988.2019.1570558594
Dynamic and scalable runtime block-based multicast routing for networks on chips.
Anantharajaiah, N.; Kempf, F.; Masing, L.; Lesniak, F. M.; Becker, J.
2019. Proceedings of the 12th International Workshop on Network on Chip Architectures (NoCArc 2019), Columbus, OH, Ocober 12-13, 2019, 1–6, ACM Press, New York, NY. doi:10.1145/3356045.3360718
Conference Papers
Data Reduction and Readout Triggering in Particle Physics Experiments Using Neural Networks on FPGAs.
Baehr, S.; Kempf, F.; Becker, J.
2018. Proceedings of the 18th International Conference on Nanotechnology (IEEE-NANO 2018), Cork, IRL, July 23-26, 2018, IEEE. doi:10.1109/NANO.2018.8626239
Data Readout Triggering for Phase 2 of the Belle II Particle Detector Experiment Based on Neural Networks.
Baehr, S.; Kempf, F.; Becker, J.
2018. Proceedings of the 31th IEEE International System-on-Chip Conference (SOCC), Arlington, VA, September 4-7, 2018, 174–179, IEEE. doi:10.1109/SOCC.2018.8618563