Information at the Core of Science, Society and Economy

In all areas of economy and society information plays a central role: We are surrounded by an increasing number of intelligent technical information systems which are equipped with capabilities like interaction, environmental awareness and self-adaptation.

The KIT Center Information · Systems · Technologies  (KCIST) investigates and designs complex adaptive technical systems for a secure and efficient handling of information, based on competences like algorithmics, software engineering, cloud computing and scientific computing, secure communication systems and big data technologies as well as intuitive human-machine interfaces, human centered robotics, industrial robotics and automation. Hence, it bundles interdisciplinary competences across KIT-divisions, in particular from informatics, economics, electrical and mechanical engineering, information technology as well as social science. The major objective of the center is to promote research and innovation as well as technology transfer between KIT and its partners in academia and industry both at a national and an international level.



Ein Mann hält einen Vortragwbk
KCIST Colloquium: Data Analytics and Process Control in Semiconductor Manufacturing - When Big Data Gets Physical

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.

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KCIST Colloquium: Mastering New Visual Understanding Tasks in 3D Scenes with Efficient Learning

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.

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KCIST Colloquium: Future action models for AI-powered and cognitively-enabled robots

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.

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Noémie AIMarkus Grotz
Dr. Noémie Jaquier is one of the AI Newcomers of the Year

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.

Further information (only German)
Studierende im Hörsaal schauen nach vorne, eine Frau nimmt mit dem Smartphone ein Foto auf.
Talk by Dr. Patrick Schäfer:
"Unleashing the Potential of Unsupervised Time Series Analytics"

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.

Further information
Fellowship für Anne Koziolek und Steffen BeckerStifterverband
Fellowship awarded to Anne Koziolek and Steffen Becker

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)".

Further information (only German)

No. 01 May 2023 (German, PDF, 888 KB)


(German, PDF, 730 KB)