Jakob Huber

Dr. Jakob Huber is a Researcher at the University of Mannheim's School of Business Informatics and Mathematics, affiliated with the Data and Web Science Group. His research focuses on operations research, machine learning, and data-driven decision-making in supply chain management and inventory systems. He also explores probabilistic reasoning with ontologies and semantic web technologies.

Huber's work addresses challenges such as perishable goods inventory optimization, demand forecasting incorporating calendar effects, and real-time decision support systems. His contributions bridge theoretical advancements in machine learning and practical applications in retail and logistics.

Selected research highlights include developing cluster-based hierarchical demand forecasting models and infrastructure for probabilistic semantic web reasoning. His publications span journals like the International Journal of Production Economics and the Semantic Web.

He holds a PhD from the University of Mannheim, and his expertise spans data science, artificial intelligence, and combinatorial optimization for data integration.