ORGANIZERS

Timo Sämann

Timo Sämann is a Product Technical Leader and Expert 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. He was the main organizer of the SAIAD workshops in 2019, 2020, 2021, 2022 and is a member of several program committees at AI conferences and workshops.

Thomas Stauner

Thomas studied computer science at Technical University of Munich and University of Edinburgh. He received his PhD degree at Technical University of Munich in the area of cyber-physical systems. After joining BMW Group he was concerned with lifecycle management of the hardware/software system in the vehicles and with software development for eMobility. He was responsible for software integration of electric drive software and for the embedded software development process and its tooling at BMW. Currently he is responsible for paving the way for safety-related machine learning applications at BMW, with focus on computer vision.

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.

Stefan Milz

received his Ph.D. degree in Physics from the Technical University of Munich. He is Managing Director of Spleenlab.ai, a self-founded machine learning company focusing on safety-critical mobility applications (UAV, Automated Driving, Air-Taxis) deploying SLAM, sensor-fusion, perception functions into the real world with regard to saftey standards. He is also a research fellow at the TU-Ilmenau. Stefan Milz is the author and co-author of more than 60 patents and more than 60 publications.

Markus Enzweiler

Markus Enzweiler is a full professor of computer science at Esslingen University of Applied Sciences in Esslingen, Germany. He is interested in visual scene understanding and machine learning with an application towards mobile robotics. He is the author of several scientific papers published in highly regarded journals and conference proceedings, e.g. the widely used Cityscapes dataset and benchmark suite. Prior to his professorship, he has been working with Mercedes-Benz Research & Development in Stuttgart, Germany focusing on camera- and LiDAR-based scene understanding for self-driving cars.

Peter Schlicht

Peter Schlicht studied mathematics with a minor in computer science in Göttingen and received his doctorate in pure 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. In 2020, he joined CARIAD as the lead of the competence center on Artificial Intelligence. He is particularly interested in methods for monitoring, robustifying and verifying safety of deep neural networks, as well as raising data and energy efficiency in the development and inference of DNNs in automotive industry.

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.

Johannes Otterbach

Johannes Otterbach has joined Merantix Momentum as a VP of Machine Learning Research in 2021. In this role, he is focused on bridging the gap between academic research and real world applications in a variety of domains. Before joining Merantix Momentum, Johannes worked as a machine learning researcher at OpenAI, a quantum engineer at Rigetti Computing and as a software engineer at Palantir. Johannes received his PhD in theoretical physics from the University of Kaiserslautern in 2011 and subsequently held a postdoctoral fellowship at Harvard University.

Claus Bahlmann

Dr. Claus Bahlmann is Head of Artificial Intelligence and Principal for Artificial Intelligence and Computer Vision with Siemens Mobility. In these roles, he and his team are incubating and executing strategic R&D programs at the intersection of AI and Rail Traffic to be transferred into the Siemens product portfolio. Before joining Siemens Mobility, Claus worked since 2004 as Research Scientist for Siemens Corporate Technology in Princeton, NJ, USA, developing Machine Learning and Computer Vision technology for Mobility, Healthcare, and Security applications. He graduated from University of Freiburg in 2003 with a PhD degree on Machine Learning.

Christian Wojek

tbd

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