Christoph Segler, M.Sc.

christoph.segler(at)bmwgroup.com
BMW Group
Research, New Technologies, Innovations
AI, Robotics, Cognitive Systems
Phone: +49.89.382.59679
Address: BMW Group, Forschungs- und Technologiehaus, Parkring 19, 85748 Garching
Curriculum Vitae
- (2016 - Now) Ph.D. Candidate
BMW Group - Research, New Technologies, Innovations - Team for AI, Robotics, Cognitive Systems - (2014 - 2016) Master in Mechatronics and Information Technology
Technische Universität München (TUM) - (2010 - 2014) Bachelor in Mechanical Engineering
Technische Universität München (TUM)
Research Interests
- Machine Learning in Automotive E/E-Architectures
- Data Preprocessing in Data Mining
- Online Feature Selection
- Context Aware Systems
Projects
- OSBORNE: Machine Learning in Automotive E/E-Architectures (running BMW project)
Service Activities
- Local Organizing Committee Member of IEEE International Conference on Cyborg and Bionic Systems (CBS 2019)
- Organizer of 1st International Workshop on "Data Driven Intelligent Vehicle Applications" (DDIVA 2019)
@ 30th IEEE Intelligent Vehicles Symposium (IV 2019) - Organizer of 2nd International Workshop on "Data Driven Intelligent Vehicle Applications" (DDIVA 2020) @ 31th IEEE Intelligent Vehicles Symposium (IV 2020)
- Co-Organizer of Workshop on "Machines with Emotions"
@ IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)
Publications
2020
- Architectural Patterns for Cross-Domain Personalised Automotive Functions. IEEE International Conference on Software Architecture (ICSA 2020), 2020 mehr… BibTeX Volltext ( DOI )
- Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions. 21st International Symposium on Quality Electronic Design (ISQED 2020), 2020 mehr… BibTeX Volltext ( DOI )
2019
- Context Discovery for Personalised Automotive Functions. IEEE 22nd Intelligent Transportation Systems Conference (ITSC), 2019 mehr… BibTeX Volltext ( DOI )
- Evaluation of feature selection for anomaly detection in automotive E/E architectures. 41st International Conference on Software Engineering: Companion Proceedings, 2019 mehr… BibTeX Volltext ( DOI )
- Automated Trainability Evaluation for Smart Software Functions. IEEE/ACM 34th International Conference on Automated Software Engineering (ASE), 2019accepted mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
- A Framework for Safety Violation Identification and Assessment in Autonomous Driving. AISafety 2019 (The IJCAI-19 Workshop on Artificial Intelligence Safety), 2019 mehr… BibTeX Volltext (mediaTUM)
- Continuous Software Engineering of Innovative Automotive Functions: An Industrial Perspective. 2019 IEEE International Conference on Software Architecture Companion (ICSA-C), IEEE, 2019 mehr… BibTeX Volltext ( DOI )
- Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection. 2019 IEEE Intelligent Vehicles Symposium, 2019 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
2018
- Verfahren, Vorrichtung, Computerprogramm und Computerprogrammprodukt zur Datenbearbeitung für ein Fahrzeug. Patent Application DE 10 2018 202 348 A1, 2018 mehr… BibTeX
- Synchronization between Run-Time and Design-Time View of Context-Aware Automotive System Architectures. 2018 IEEE International Systems Engineering Symposium (ISSE), IEEE, 2018 mehr… BibTeX Volltext ( DOI )
- Method Indicating Unexpected Behaviour and Vehicle, System, and Storage Medium Comprising the Same. Patent Application WO 2020/020437, 2018 mehr… BibTeX
2017
- Research challenges for a future-proof e/e architecture - a project statement. 15. Workshop Automotive Software Engineering, 2017 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)