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Dragan Djurdjanovic, Associate Director of the NSF Engineering Research Center on Nanomanufacturing Systems for Mobile Computing and Mobile Energy Technologies, University of Texas, will give a lecture on "Data Analytics and Process Control in Semiconductor Manufacturing - When Big Data Gets Physical" in building 50.36, room 010 (KIT) on Tuesday, June 06, 2023 at 16:00.

Ziad Al-Halah, Assistant Professor of Computer Science in The University of Utah, will give a talk on "Mastering New Visual Understanding Tasks in 3D Scenes with Efficient Learning" on Tuesday, May 25, 2023 at 10:00 in bldg. 50.20 room 148.

His work has been recognized with a best paper award (ICPR’14) and as the first place winner of the Habitat Challenge (PointNav) at CVPR'20 and the Textbook Question Answering Challenge (TQA) at CVPR'17.

Michael Beetz, Professor for Computer Science at the University of Bremen and Director of the Institute for Artificial lntelligence, will give a talk on "Future action models for AI-powered and cognitively-enabled robots" on Tuesday, May 23, 2023 at 16:00 in bldg. 50.20 room 148.

In the talk, he will sketch ideas about a knowledge representation and reasoning (KR\&R) framework based on explicitly-represented and machine-interpretable inner-world models, that enable robots to contextualize underdetermined manipulation task requests on the first attempt.

Markus Grotz

Noémie Jaquier, PostDoc at the Institute of Anthropomatics and Robotics (IAR), is one of ten newcomers honoured by the Federal Ministry of Education and Research and the German Informatics Society (Gesellschaft für Informatik e.V.) at the international AI Camp 2023 on 26 April 2023 for their research work and extraordinary commitment in the field of artificial intelligence. Her research brings a new perspective to robot learning, optimisation and control by using Riemannian geometry as an inductive bias and developing data-efficient algorithms with solid theoretical guarantees.

Dr. Patrick Schäfer from Humboldt University (HU) Berlin will give a presentation about "Unleashing the Potential of Unsupervised Time Series Analytics: Recent Advances and Breakthroughs" on Friday, March 31, 2023 at 10:30 in Bldg. 50.34, room 301.

Patrick Schäfer is a Postdoctoral Researcher and Lecturer of Computer Science at HU Berlin. His main research interests include scalable TS analytics, including supervised tasks, such as classification, and unsupervised tasks, such as motif discovery and segmentation.

Stifterverband

Prof. Dr.-Ing. Anne Koziolek (KIT - KASTEL) and Prof. Dr.-Ing. Steffen Becker (University Stuttgart) received the teaching fellowship for “Lehrinnovationen und Unterstützungsangebote in der digitalen Hochschullehre Baden-Württemberg”. The Fellowship is funded by the Ministry of Science, Research and the Arts Baden-Württemberg and the Stifterverband. Professor Koziolek and Professor Becker received the funding for their collaboration in the project "Transfer of an innovative programming education with Mini Programming Worlds (TiPMin)".