Ute Maria Schmid | |
---|---|
Nationality | German |
Alma mater | Technische Universität Berlin University of Koblenz and Landau |
Known for | interpretable artificial intelligence inductive programming |
Scientific career | |
Institutions | University of Bamberg Osnabrück University Carnegie Mellon University |
Thesis | Erwerb rekursiver Programmiertechniken als Induktion von Konzepten und Regeln: Ein kognitionswissenschaftlicher Zugang zum Erwerb kognitiver Fertigkeiten (1994) |
Doctoral advisor | Bernd Mahr Klaus Eyferth |
Ute Maria Schmid (born 1965) [1] is a German computer scientist whose research interests include interpretable artificial intelligence and inductive programming. She is a professor at the University of Bamberg, in charge of the chair for cognitive systems.
Schmid was a high school student at St.-Thomas-Gymnasium Wettenhausen . She studied psychology at the Erziehungswissenschaftlichen Hochschule Landau (which became part of the University of Koblenz and Landau and later the University of Kaiserslautern-Landau) and at Technische Universität Berlin, earning a diploma through TU Berlin in 1989. Following this, she continued at TU Berlin, studying computer science. She earned both a second diploma and a doctorate (Dr. rer. nat.) in 1994, [2] with a dissertation jointly supervised by computer scientist Bernd Mahr and psychologist Klaus Eyferth. [2] [3] She completed a habilitation through TU Berlin in 2002. [2]
After postdoctoral research at Carnegie Mellon University, [4] Schmid worked as an assistant professor at TU Berlin from 1994 until 2001, and as a lecturer at Osnabrück University from 2001 to 2004. She took her present position as a professor at the University of Bamberg in 2004, and served as dean of the Faculty of Information Systems and Applied Computer Sciences from 2017 to 2019. [2]
Schmid is a Fellow of the European Association for Artificial Intelligence, [5] elected in 2022. [4] [6] In 2023, she was named as a Fellow of the German Informatics Society, honoring her interdisciplinary research combining psychology and computer science, her work in primary school computer science education, and her position as a role model for young women in computer science. [7]