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Prof. Dr. Ute Schmid
Universität Bamberg Fraunhofer IIS

Ute Schmid is a full professor for cognitive systems at University of Bamberg. She has more than 20 years experience in research and teaching in AI. She is director at the Bavarian Research Institute of Digital Transformation (bidt), member of the Bavarian AI council, co-speaker of the working group 1 of the Germany's Platform for Artificial Intelligence, and head of the working group AI and School of the German Informatics Society (GI). With university diplomas both in Psychology and Computer Science she has a suitable interdisciplinary perspective for computer science and AI education for tailored to different target groups. For your long-standing commitment to promoting women and young talent in computer science and in the area of AI Ute Schmid has been honored with the Minerva Gender Equality Award of Informatics Europe and with the Rainer-Markgraf-Award.

Stephan Scheele
Dr. Stephan Scheele
Fraunhofer IIS

Stephan Scheele is a post-doctoral researcher in the Fraunhofer IIS Explainable AI Project Group. He holds a diploma in business informatics and a master's degree in computer science from the University of Ulm. In 2015, he completed his PhD on a basic topic in the area of description logics and knowledge representation at the University of Bamberg. He then worked for several years as a software architect for Robert Bosch GmbH in Renningen in the Car Multimedia division. During his doctoral studies, Stephan Scheele gained a wide range of experience in teaching. Through his work at Bosch, he is familiar with engineering application fields.

Topic

Machine Learning

Ute Schmid
Prof. Dr. Ute Schmid
Fraunhofer IIS Universität Bamberg

Ute Schmid is Professor of Applied Computer Science, in particular Cognitive Systems. She has been teaching and researching knowledge-based methods of AI and machine learning for more than 15 years. She is internationally visible in the field of human-like machine learning and is currently researching explanation generation and the use of explanations in interactive learning. Ute Schmid also has experience in the development of intelligent tutoring systems and in the use of analogue examples in the context of knowledge and skill acquisition. In addition to a degree in computer science, she also holds a degree in psychology and has many years of experience in empirical research.

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