Martin Potthast holds the hessian.AI Chair for Deep Semantic Learning at the University of Kassel. His research focuses on language technologies, search engines and the analysis and synthesis of information. Martin contributes to the research areas of information retrieval, natural language processing, and artificial intelligence.
Professional background: Martin Potthast studied computer science at the University of Paderborn (2001-2006) and successfully completed his doctorate at the Bauhaus-Universität Weimar in December 2011, where he then worked as a postdoctoral researcher at the Digital Bauhaus Lab. In October 2017 he was appointed junior professor at Leipzig University and in October 2023 full professor, thus successfully completing his tenure track. Martin is a founding member and board member of the ScaDS.AI Center for Scalable Data Analytics and Artificial Intelligence. In April 2024, he was appointed Professor of Deep Semantic Learning at the University of Kassel and joined the Hessian Center for Artificial Intelligence hessian.AI.