Christoph-Alexander Holst
Christoph-Alexander Holst, M.Sc., is Executive Board Member of the Institute Industrial IT (inIT) and research group leader of the research group Discrete Systems (Image Processing and Pattern Recognition, Sensor and Information Fusion). He completed his Master's degree in the international Information Technology programme at the Ostwestfalen-Lippe University of Applied Sciences. He is currently working on his doctorate in co-operation with the Department of Computer Engineering at the Brandenburg University of Technology Cottbus-Senftenberg. His research focusses on methods of information fusion, machine learning systems and artificial intelligence in the context of resource-constrained systems and scarce data. As part of the Parkinson Network OWL+, of which he is a founding member, Christoph-Alexander Holst is working on the design and development of AI-based mobile applications.
Room: CIIT EG 2.10
Since 2021: PhD student at the Brandenburg University of Technology Cottbus-Senftenberg
Since 2021: Senate member, TH OWL
Since 2020: Board member, Institute for Industrial Information Technology (inIT)
Since 2020: Research group leader, Institute for Industrial Information Technology (inIT)
2017-2020: Research associate, Institute for Industrial Information Technology (inIT)
2014-2017: Master of Science Information Technology, TH OWL
2011-2016: Project engineer, Siemens AG
- Organizing Committee
- IEEE International Conference on Emerging Technologies and Factory Automation ETFA (Chair, Organiser Special Session "Challenges of Machine Learning in Intelligent Technical Systems"), 2020, 2021
- IEEE International Conference on Emerging Technologies and Factory Automation ETFA, (Track Program Commitee), 2024
- IARIA International Conference on Performance, Safety and Robustness in Complex Systems and Applications PESARO (Technical Programm Comitee), 2021, 2022, 2023, 2024
- BVAu Bildverarbeitung in der Automation (Programmkomitee), 2022, 2024
- Review activities
- IEEE International Conference on Emerging Technologies and Factory Automation ETFA (Reviewer), 2021, 2022, 2023, 2024
- IEEE International Joint Conference on Neural Networks IJCNN (Reviewer), 2022, 2023, 2024, 2025
- BVAu Bildverarbeitung in der Automation (Reviewer), 2022, 2024
- IEEE International Conference on Industrial Informatics INDIN (Reviewer) 2023
- IEEE World Forum on Internet of Things WF-IoT (Reviewer), 2024
- IEEE Conference on Artificial Intelligence CAI (Reviewer), 2024
- IEEE International Conference on Development and Learning ICDL (Reviewer)
- PeerJ - Computer Science Journal