Florian Rupp

Florian Rupp holds roles as a Research Fellow and Lecturer, focusing on interdisciplinary research at the intersection of semantic web technologies, artificial intelligence, and game design. His work spans data modeling with RDF-star, reinforcement learning applications in game balancing, and procedural content generation.

Research Interests:

• Semantic Web technologies (RDF-star, metadata modeling)
• AI-driven game design (reinforcement learning, evolutionary algorithms)
• Procedural content generation for games
• Game economy and level balancing mechanisms

Key contributions include foundational work on RDF-star implementation and innovative applications of machine learning to game design challenges. Recent publications explore player perception in card games, simulation-driven level balancing, and algorithmic approaches to game economy design.

No scientific awards or grants explicitly mentioned in provided materials.