The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
The Hessian AICon | July 4–6 | SAVE THE DATE
Faculty
Prof. Dr. Christin Seifert has been appointed to a newly established professorship for Artificial Intelligence (AI) in the Department of Mathematics and Computer Science at Philipps-Universität Marburg, effective April 1, 2023. It is also one of the first professorships at the Hessian Center for Artificial Intelligence (“hessian.AI”). The professorship combines research at the hessian.AI center with research and teaching at the University of Marburg and advances AI research in Hesse in this network.
Christin Seifert is a Full Professor at the Institute for Artificial Intelligence at the University of Duisburg-Essen. She has been excited about all flavours of machine learning for a long time. In particular, she is passionate about bridging the gap between algorithmics and the human. She strongly believes that algorithms should be designed in a way that tightly integrates the user and her mental models of her material world, and the (immaterial) data collected to describe it; Artificial intelligences should be able to explain their reasoning and basis of decision-making to end users — in a way that relates to their physical reality and that they can understand. Consequently, her research is characterized by interdisciplinarity and a broad range of application areas. Her core research interests are explainable machine learning, and data mining, as well as intersections with human-computer interaction, information visualization, and information retrieval; detours include natural language processing and technology enhanced learning. Her publication list gives an impression of how her research interests evolved. Today, it includes 97 peer-reviewed papers, 11 journal articles and 5 book chapters that mark different stages of her scientific (and personal) development. She holds a Ph.D. from the Technical University Graz, Austria (Thesis Topic: Visually Supported Supervised Machine Learning) and a diploma (equiv. M.Sc.) in computer science from the Technical University Chemnitz, Germany.