M. Sc. Luca Seidel

Curriculum Vitae

Research associate at ITIV since February 2023
Master studies in Electrical Engineering and Information Technology with specialization in Systems Engineering at KIT
- Graduation in November 2022
- Master thesis (ITIV): "Conceptual design and evaluation of a machine learning based relative position determination for platooning vehicles".
Bachelor studies in electrical engineering and information technology at KIT
- Graduation in July 2020
- Bachelor thesis (ITIV): "Conceptual design and evaluation of a user-friendly Knowledge Discovery in Databases process toolbox".

Teaching

Supervision of the Software Engineering internship(https://www.itiv.kit.edu/60_6075.php)

Student work
Titel	Typ
Localization-based configuration detection of a modular operating table	Masterarbeit
Distributed medical technology systems - Solutions for the internal communication of control units for modular operating tables	Bachelorarbeit

Development of a microphone array-based system for acoustic localization of signal sources for animal monitoring	Bachelorarbeit
Benchmarking uni- and multivariate machine learning based classification of time series	Bachelorarbeit

HiWi positions
Title
Integration of test scenarios for a control-over-the-air approach
Collaboration on the implementation of automated driving
Development of a testbench for testing and evaluation of perception algorithms

Publications

2024

Journal Articles

Hybrid Anomaly Detection in Time Series by Combining Kalman Filters and Machine Learning Models
Puder, A.; Zink, M.; Seidel, L.; Sax, E.
2024. Sensors, 24 (9), Art.-Nr.: 2895. doi:10.3390/s24092895

Conference Papers

Variant-aware Reconfiguration of Automotive Virtual Test Environments
Seidel, L.; Guissouma, H.; Schmid, A.; Sax, E.
2024. Vol.9 - Driving Simulation Conference Europe 2024 VR (DSC 2024), Driving Simulation and Virtual Reality Conference and Exhibition, Straßburg, 18th-20th September 2024, 221–226

Exploring Metamorphic Testing for Self-learning Functions with User Interactions
Stang, M.; Seidel, L.; Vučinić, V.; Sax, E.
2024. Human Interaction and Emerging Technologies (IHIET 2024), 195–206, AHFE International. doi:10.54941/ahfe1004569

USID - Unsupervised Identification of the Driver for Vehicle Comfort Functions
Vučinić, V.; Seidel, L.; Stang, M.; Sax, E.
2024. Human Interaction and Emerging Technologies (IHIET-AI 2024): Artificial Intelligence and Future Applications, 142–152, AHFE International. doi:10.54941/ahfe1004564

2020

Conference Papers

Intuitive Time-Series-Analysis-Toolbox for Inexperienced Data Scientists
Pistorius, F.; Baumann, D.; Seidel, L.; Sax, E.
2020. 2020 International Conference on Computational Science and Computational Intelligence (CSCI) : 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, Las Vegas, 16 December 2020 - 18 December 2020, 401–406. doi:10.1109/CSCI51800.2020.00075