Christoph-Alexander Holst
Christoph-Alexander Holst, Dr.-Ing., is a research group leader and Executive Board Member at the Institute Industrial IT (inIT) at Technische Hochschule Ostwestfalen-Lippe. He leads the Discrete Systems research group, whose research covers image processing and pattern recognition as well as sensor and information fusion.
His research focuses on information fusion, uncertainty modelling, and robust intelligent technical systems. Particular areas of interest include possibilistic methods, redundancy-aware system design, machine learning under scarce and non-representative data, and resilient industrial AI. His work combines formal uncertainty modelling with data-driven methods and their validation in industrial multi-sensor systems and digital healthcare applications.
He received his doctorate in engineering from Brandenburg University of Technology Cottbus–Senftenberg in 2025, graduating summa cum laude. His doctoral research established redundancy as an explicit design criterion for robust possibilistic information fusion systems and was published as a monograph by Springer.
Room: LE 11.176
2025: Doctor of Engineering (Dr.-Ing.), summa cum laude, Brandenburg University of Technology Cottbus–Senftenberg
Since 2021: Member of the Senate, Technische Hochschule Ostwestfalen-Lippe
Since 2020: Research Group Leader and Executive Board Member, Institute Industrial IT (inIT), Technische Hochschule Ostwestfalen-Lippe
2017–2020: Research Associate, Institute Industrial IT (inIT), Technische Hochschule Ostwestfalen-Lippe
2014–2017: Master of Science in Information Technology, Technische Hochschule Ostwestfalen-Lippe
2011–2016: Project Engineer, Siemens AG, Bielefeld
Academic and Scientific Service
- Member of the Senate, Technische Hochschule Ostwestfalen-Lippe, since 2021
- Member of the Arbeitswelt.Plus Expert Committee, since 2026
Organising and Programme Committees
- IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) — Track Programme Committee
- IEEE ETFA — Chair and Organiser of the Special Sessions “Challenges of Machine Learning in Intelligent Technical Systems” (2020 and 2021) and “Addressing Data Scarcity: Machine Learning, Information Fusion, and Sustainable AI” (2025 and 2026)
- IARIA International Conference on Performance, Safety and Robustness in Complex Systems and Applications (PESARO) — Technical Programme Committee
- Bildverarbeitung in der Automation (BVAu) — Programme Committee
- Workshop Computational Intelligence & Machine Learning — Programme Chair
Peer Review
- Conferences:
- IEEE International Joint Conference on Neural Networks (IJCNN)
- IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
- IEEE International Conference on Industrial Informatics (INDIN)
- IEEE International Conference on Development and Learning (ICDL)
- IEEE Conference on Artificial Intelligence (CAI)
- IEEE World Forum on Internet of Things (WF-IoT)
- Bildverarbeitung in der Automation (BVAu)
- Journals:
- PeerJ Computer Science
- at – Automatisierungstechnik
- International Journal of Computational Intelligence Systems
- AI and Ethics
Research Funding Review
- Hessian Ministry for Digitalisation and Innovation — External expert reviewer for the Distr@l programme