M. Sc. Daniel Grimm

Bachelor of Electrical Engineering and Information Technology at KIT
- Closing in November 2015
- Bachelor thesis:
  - Karlsruhe Institute of Technology (KIT), Institute of Industrial Information Technology (IIIT)
  - Topic of the thesis: "Langzeit-3-D-Kopfposentracking durch Verwenden eines dynamischen Objektmodells ".
Master studies in Electrical Engineering and Information Technology at KIT
- Closing in October 2017
- Master thesis:
  - Karlsruhe Institute of Technology (KIT), Institute for Information Processing Technologies (ITIV)
  - Topic of the thesis: "Statische und dynamische Anomalieerkennung in Ethernet-basierter Kommunikation".

MA: "Reinforcement Learning für autonomes Fahren in der Simulationsumgebung AirSim; Reinforcement Learning for Autonomous Driving AirSim"
MA: "Anwendung und Validierung von maschinellem Lernen auf der Basis von Reinforcement Learning für autonome Fahrzeuge in einer Simulationsumgebung"
BA: "Modellierung und prototypische Implementierung eines generischen Security Kontext Modells für Fahrzeuge"
BA: "Optimierung eines Intrusion Detection Systems auf Basis neuronaler Netze"
BA: "Anomalieerkennung in Zeitserien durch Convolutional Autoencoder"
BA: "Visuelle Anomalieerkennung mittels Autoencodern"
BA: "Entwicklung einer Machine Learning basierten Strukturüberwachung für einen Forschungshelikopter"
BA: "Auswahl und Evaluierung geeigneter Konzepte zur Speicherung und Analyse von SecurityInformationen"
BA: "Entwicklung einer Plattform zur explorativen Analyse großer Datenmengen aus dem Automobilbereich"
MA: "Konzeptionierung und Implementierung einer Datenverarbeitungsarchitektur auf Basis aktueller Connected Car Services"
BA: "Konzeption eines Verfahrens zur flottenübergreifenden SecurityAnalyse von Fahrzeugen"
BA : "Implementierung und Evaluation verschiedener Neuronaler Netze zur kombinierten Anomalieerkennung in mehreren Signalen der CANbasierten Kommunikation"
BA: "Konzept zur Erkennung von Anomalien in Ethernetbasierter Kommunikation im Fahrzeug mittels Maschinellem Lernen"
BA : "Synthetisieren kontextueller Anomalien in Fahrzeugdaten"

Student works to be assigned
title	type
Development of a machine learning-based methodology for semantic matching of model-based systems engineering sketches	Masterarbeit
Development of plug and play architectures for highly networked, automated vehicles
Universal Plug&Play Architecture for the Connected Automated Vehicle of Tomorrow	Bachelor-/ Masterarbeit

Open HiWi positions
Title	Starting date
Development of plug and play architectures for highly networked, automated vehicles	ab 09/ 2022

Publications

2022

Journal Articles

Generic Patterns for Intrusion Detection Systems in Service-Oriented Automotive and Medical Architectures
Puder, A.; Rumez, M.; Grimm, D.; Sax, E.
2022. Journal of cybersecurity and privacy, 2 (3), 731–749. doi:10.3390/jcp2030037

Conference Papers

Context-aware vehicle and fleet security combining a Knowledge Graph and an object-oriented model
Grimm, D.; Sax, E.
2022. 2022 International Conference on Connected Vehicle and Expo (ICCVE), 7th - 9th March 2022, Lakeland, FL, USA, 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVE52871.2022.9742971

2021

Journal Articles

Context-aware Security for Vehicles and Fleets: A Survey
Grimm, D.; Stang, M.; Sax, E.
2021. IEEE Access, 9, 101809–101846. doi:10.1109/ACCESS.2021.3097146

Conference Papers

Dynamic Reconfiguration of Automotive Architectures Using a Novel Plug-and-Play Approach
Stoll, H.; Grimm, D.; Schindewolf, M.; Brodatzki, M.; Sax, E.
2021. 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops) 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), Nagoya, Japan, 11-17 July 2021, 70–75, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IVWorkshops54471.2021.9669222

2020

Book Chapters

Network Security Monitoring in Automotive Domain
Grimm, D.; Pistorius, F.; Sax, E.
2020. Advances in Information and Communication – Proceedings of the 2020 Future of Information and Communication Conference (FICC), Volume 1. Ed.: K. Arai, 782–799, Springer International Publishing. doi:10.1007/978-3-030-39445-5_57

Journal Articles

An Overview of Automotive Service-Oriented Architectures and Implications for Security Countermeasures
Rumez, M.; Grimm, D.; Kriesten, R.; Sax, E.
2020. IEEE access, 8, 221852–221870. doi:10.1109/ACCESS.2020.3043070

Conference Papers

Evaluation of Deep Reinforcement Learning Algorithms for Autonomous Driving
Stang, M.; Grimm, D.; Gaiser, M.; Sax, E.
2020. 2020 IEEE Intelligent Vehicles Symposium (IV), 19 October - 13 November 2020, online, 1576–1582, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IV47402.2020.9304792
QUA³CK - A Machine Learning Development Process
Stock, S. C.; Becker, J.; Grimm, D.; Hotfilter, T.; Molinar, G.; Stang, M.; Stork, W.
2020. Proceedings of Artificial Intelligence for Science, Industry and Society — PoS(AISIS2019), 026, Scuola Internazionale Superiore di Studi Avanzati (SISSA). doi:10.22323/1.372.0026
Development Processes in Automotive Service-oriented Architectures
Vetter, A.; Obergfell, P.; Guissouma, H.; Grimm, D.; Rumez, M.; Sax, E.
2020. 9th Mediterranean Conference on Embedded Computing (MECO), 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MECO49872.2020.9134175
FEEDI - A Smart Wearable Foot-Band for Navigation and Guidance Using Haptic Feedback
Stock, S.; Bertemes, A.; Stang, M.; Böhme, M.; Grimm, D.; Stork, W.
2020. Human Interaction, Emerging Technologies and Future Applications II : Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2020), April 23-25, 2020, Lausanne, Switzerland. Ed.: T. Ahram, 349–355, Springer. doi:10.1007/978-3-030-44267-5_52

2019

Presentations

The QUA³CK Machine Learning Development Process and the Laboratory for Applied Machine Learning Approaches (LAMA)
Becker, J.; Grimm, D.; Hotfilter, T.; Meier, C.; Molinar, G.; Stang, M.; Stock, S.; Stork, W.
2019, October 22. Symposium Artificial Intelligence for Science, Industry and Society (AISIS 2019), Mexico City, Mexico, October 20–December 25, 2019

2018

Conference Papers