Machine Learning

Marius Lindauer is a full professor at Leibniz University Hannover and a recipient of the prestigious ERC grant.

He completed his PhD at the University of Potsdam. After completing his doctoral studies, he joined the AutoML group at the University of Freiburg as a Postdoctoral Researcher. Marius is the co-head of the AutoML.org super-group, a member of the advisory board of COSEAL, a co-founder of the Leibniz Data Science Lab, and a member of several other networks, including ELLIS and CLAIRE. His research interests lie primarily in the field of AutoML, with additional expertise in Reinforcement Learning and Interpretable Machine Learning.

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.

Haojin Yang is a senior researcher and multimedia and machine learning (MML) research group leader at Hasso-Plattner-Institute (HPI). Since 2019, he has been habilitated for a professorship. His research focuses on efficient deep learning, model acceleration and compression, and Edge AI.

Professor Jan Peters teaches and conducts research both at the Department of Computer Science at Darmstadt University of Technology and at the German Research Center for Artificial Intelligence GmbH (DFKI). He is one of the world's leading researchers in the field of machine learning for autonomous, intelligent robots and has received several awards for his achievements. Among others, he was appointed IEEE Fellow, ELLIS Fellow and AIAA Fellow.

Christian Bartz is currently a Ph.D. student at the Chair of Internet Technologies and Systems at the Hasso Plattner Institute (HPI), University of Potsdam, Germany. Prior to his Ph.D. studies, he received his master degree in IT-Systems Engineering from HPI in 2016. His current research interests revolve around computer vision and deep learning, especially text recognition in scene images, handwriting recognition for automated analysis of archival material, and automated generation of suitable training data for the training of machine learning algorithms.