Alexander Gehrke

Alexander Gehrke is a Researcher at the Chair of Artificial Intelligence and Knowledge Systems within the Institute of Computer Science at the University of Würzburg. He has been affiliated with the institution since completing his Master's degree in Computer Science there in 2016.

• Master's in Computer Science, University of Würzburg (2016)

His research focuses on optical document recognition, particularly the digitization of historical documents and tables. He also has a strong interest in functional programming. Recent publications highlight his contributions to document analysis and image processing techniques applied to historical printings.

Key research trends: Development of contour-based segmentation methods for historical printings and recognition of handwritten underlines in old prints, blending computer science with digital humanities and archival preservation.

No scientific awards have been explicitly reported for Alexander Gehrke in the provided text.

Alexander contributes to academic projects like the LeLaR: In-Orbit-Demonstrator Lernende Lageregelung and works in close collaboration with the Center for Artificial Intelligence and Data Science (CAIDAS).