Daniel Weidner

Daniel Weidner is a researcher at the Chair of Computer Science VI (Artificial Intelligence and Knowledge Systems) within the Faculty of Mathematics and Computer Science at the University of Würzburg. His work spans declarative programming, database systems, and artificial intelligence applications.

• Primary affiliation: Chair of Computer Science VI, University of Würzburg
• Research focus: AI-driven database systems and logic programming

His research interests include declarative technologies, logic programming, and their applications in data mining, tennis analytics, and NoSQL databases. He has extensively contributed to the development of tools that bridge Prolog and Python environments.

Weidner has supervised multiple theses and seminar papers, including works on tennis trajectory recognition, heating system data analysis, and declarative program evaluation. His projects often involve Python-based implementations of deductive database systems.

• Supervised: 4 bachelor's, 2 master's theses
• Teaching roles: Logic programming, database exercises, and advanced database seminars

Scientific awards: No explicit honors mentioned in available records.