TEAM
The event is organized by a team of volunteers from the Regensburg area. Just like our speakers, the team consists of data scientists working in academia and industry.
(OTH Regensburg)
Elisabeth Moser finished her master degree in Robotics, Cognition and Intelligence at TU Munich in 2018 and returned to Ostbayerische Technische Hochschule (OTH) Regensburg to pursue her Doctorate in collaboration with TU Munich. Her work focuses on the application of synthetic data and machine learning on physical models in the field of chemical trace gas analysis. She is also engaged with the NGO SpaceEye to detect migrant boats on satellite imagery.
(Strategische Partnerschaft Sensorik e.V./Cluster Sensorik)
Stefanie Fuchs is part of the management team of the Bavarian Sensors Network – a link between economy and science.
(ams OSRAM)
Daniel Grünbaum performs research on causal inference in machine learning and its applications in the semiconductor industry as a PhD student.
(Strategische Partnerschaft Sensorik e.V./Cluster Sensorik)
Michael Hellwig is a consultant for further education and qualification in the Bavarian Sensor Network and develops educational programs in the field of artificial intelligence, data analytics and transformation of the automotive industry.
(OTH Regensburg)
Nicole Höß finished her master degree in computer science at OTH Regensburg. As a research assistant, she is coordinating the Regensburg Center for Artificial Intelligence (RCAI) and supports companies in the state-funded project KI-Transfer Plus.
(ams OSRAM)
Jonas Kleinöder performs research and applies object detection in the semiconductor industry as a master student.
(Universität Regensburg)
Udo Kruschwitz has a broad research interest that ranges from enterprise search to the detection of hate speech. He enjoys co-organising events that bring together people from industry and academia (e.g. check out the regular Data Science @ Regensburg Meetup).
(OTH Regensburg)
(ams OSRAM)
Maike Stern is a key expert at the ams OSRAM group and leads the Machine Learning Research team, which is focused on optimisation and causal inference. With her team, she is conducting research on the combination of reinforcement learning and causal inference, causal reinforcement learning, within the funded project Deep Thought.
(Infineon Technologies AG)
Andrea Stich (Dipl Ing. physics) is heading an internal Academy and is responding the worldwide functional learning and development for all Frontend Sites of Infineon. In this function she is driving the introduction of AI skills and competencies in the Frontend training landscape as well as being an active member of the “Plattform Lernende Systeme” of the BMBF in the WG 2 ”Future of Work and Human-Machine Interaction”.
(ams OSRAM)
Veronika Völkl studied mathematics at OTH Regensburg and is now responsible for Applied Data Science in the production of OSRAM Opto Semicondutors. She develops algorithms and implements them in the production to realize the diverse benefits that automated data analysis offers.
(ams OSRAM)
Heribert Wankerl is interested in applying machine learning to key aspects of the semiconductor industry, including e.g. signal processing or decision making. Within the context of his Ph.D. studies, he investigates active and especially reinforcement learning methods..