Organizers

Timo Sämann

Timo Sämann is a Product Technical Leader at Valeo within the Research Group for Automated Driving in Germany and specialized in visual perception with deep learning methods. He leads projects on how to make deep neural networks safer and is doing his PhD at the Technical University of Ilmenau. His general interest relates to the transfer of academic research in the field of artificial intelligence to applications for automated driving.

Loren Schwarz

Loren Schwarz is a Principal Software Engineer for AI and Machine Learning at the BMW Group Autonomous Driving division. His work focuses on safety of Machine Learning-based perception algorithms. He holds a PhD in Computer Science from Technical University of Munich (TUM), where he worked on vision-based human pose estimation and activity recognition, and a M.Sc. in Computer Science from New Jersey Institute of Technology, which he obtained under a Fulbright grant.

Frédérik Blank

Frédérik Blank holds a double-diploma in electrical engineering from Technical University Darmstadt (Germany) and Ecole Supérieure d'Electricité Gif-sur-Yvette (France). From 2007 to 2015 he worked for ABB AG in various positions as researcher, software developer, project manager and product manager in the area of data analytics, optimization and map-based visualization techniques for distributed infrastructure automation. Since 2015 he has been working at Robert Bosch GmbH as project leader in multiple large automated driving joint pre-development projects with focus on (assured) artificial intelligence and tele-operated driving.

Markus Enzweiler

Markus Enzweiler received the PhD degree in computer science from the University of Heidelberg, Germany, in 2011. Since 2010, he has been with Daimler Research & Development, Stuttgart, Germany. His current work focuses on scene understanding for self-driving cars. In 2012, he was awarded both the IEEE Intelligent Transportation Systems Society Best PhD Dissertation Award and the Uni-DAS Research Award for his work on vision-based pedestrian recognition. He was part of the Daimler team that received the IEEE Intelligent Transportation Systems Society Outstanding Application Award in 2014. Since 2014, he is a junior fellow of the German Informatics Society.

Oliver Wasenmüller

Oliver Wasenmüller is full Professor at the Mannheim University for Applied Science. His research is in the intersection of Computer Vision and Artificial Intelligence with a focus on automotive. Previously he was a team leader for "machine vision and autonomous vehicles" at the German Research Center for Artificial Intelligence (DFKI). He is both speaker and reviewer in many scientific conferences in this field and co-organizes the ACM Computer Science in Cars Symposium (CSCS) as well as the IEEE IV Workshop on Online Map Validation and Road Model Creation.

Oliver Grau

Oliver Grau works for Intel Labs in Germany on topics of automated driving. He joined Intel as co-director of the Intel-Visual Computing Institute and he worked previously as a Lead Technologist for BBC R&D in London, UK on computer vision projects for innovative media production systems.

Seyed Eghbal Ghobadi

Seyed Eghbal Ghobadi studied Electrical Engineering at Technical University of Braunschweig and received his PhD from Center for Sensor Systems at University of Siegen in the field of computer vision and machine learning. He joined Opel in 2010 and worked as Algorithm Design Engineer on driving assistance system projects. Currently he is working in the Advanced Engineering department with the main working focus on automated driving using artificial intelligence. As visiting lecturer at RheinMain University of Applied Sciences, he is also actively involved in teaching of Control Systems.

Peter Schlicht

Peter Schlicht studied mathematics with a minor in computer science in Göttingen and received his doctorate in mathematics from the University of Leipzig. After a two-year research stay at the Ecole Polytechnique Fédérale (EPFL) in Lausanne (Switzerland), he joined Volkswagen Group Research in 2016 as an AI architect. There he deals with research questions on artificial intelligence technologies for automatic driving. He is particularly interested in methods for monitoring, explaining and robotizing deep neural networks, as well as securing them.

Fabian Hüger

Fabian Hüger holds a Dipl.-Ing. and Dr.-Ing. in Electrical Engineering by University of Kassel. During a Fulbright Scholarship he received a M.Sc. in Electrical and Computer Engineering at University of California Santa Barbara. He joined Volkswagen Group Research in 2010 and is currently performing research on AI technologies for automated driving.

Stefan Rüping

Stefan Rüping heads the Big Data Analytics business unit at Fraunhofer IAIS. He has many years of experience in consulting, industry and research projects as well as teaching. His research interests are machine learning, artificial intelligence and data mining. Stefan Rüping studied computer science at the Technical University of Dortmund, where he also worked as a research assistant at the Chair of Artificial Intelligence. In 2006, he received his doctorate in the field of machine learning on the subject of “Learning Interpretable Models”.

Joachim Sicking

Joachim Sicking is a data scientist and machine learning researcher at Fraunhofer IAIS with a background in physics. He is interested in methods of distributed machine learning and their application in the field of autonomous driving. Another focus of his work are ML projects in the context of industrial IoT with a focus on questions of failure prediction and production optimization.

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