Dr.-Ing. Christoph-Alexander Holst is member of the executive board of the Institute Industrial IT (inIT) and research group manager of the Discrete Systems working group (image processing and pattern recognition, sensor and information fusion). He completed his master's degree in the international programme Information Technology at the Ostwestfalen-Lippe University of Applied Sciences and Arts. He received his doctoral degree (Dr.-Ing.) from the Brandenburg University of Technology Cottbus-Senftenberg. His research focuses on methods of information fusion, uncertainty modelling and machine learning systems in the context of resource-constrained systems and scarce data.

• Introduction.- Preliminaries.- Scientific State of the Art.- Open Research Topics.- Approach.- Evaluation.- Conclusion and Outlook.

Dr.-Ing. Christoph-Alexander Holst is member of the executive board of the Institute Industrial IT (inIT) and research group manager of the Discrete Systems working group (image processing and pattern recognition, sensor and information fusion). He completed his master's degree in the international programme Information Technology at the Ostwestfalen-Lippe University of Applied Sciences and Arts. He received his doctoral degree (Dr.-Ing.) from the Brandenburg University of Technology Cottbus-Senftenberg. His research focuses on methods of information fusion, uncertainty modelling and machine learning systems in the context of resource-constrained systems and scarce data.

• Introduction.- Preliminaries.- Scientific State of the Art.- Open Research Topics.- Approach.- Evaluation.- Conclusion and Outlook.

Dr.-Ing. Christoph-Alexander Holst is member of the executive board of the Institute Industrial IT (inIT) and research group manager of the Discrete Systems working group (image processing and pattern recognition, sensor and information fusion). He completed his master's degree in the international programme Information Technology at the Ostwestfalen-Lippe University of Applied Sciences and Arts. He received his doctoral degree (Dr.-Ing.) from the Brandenburg University of Technology Cottbus-Senftenberg. His research focuses on methods of information fusion, uncertainty modelling and machine learning systems in the context of resource-constrained systems and scarce data.

• Introduction.- Preliminaries.- Scientific State of the Art.- Open Research Topics.- Approach.- Evaluation.- Conclusion and Outlook.