Institute for Automation and Applied Informatics

Welcome to the Institute for Automation and Applied Informatics

The Institute for Automation and Applied Informatics (IAI) is a research institute of the Karlsruhe Institute of Technology (KIT) in the Helmholtz Association (HGF). It conducts research and development in the field of innovative, application-oriented information, automation, and systems technology for sustainable energy systems and complex industrial and laboratory processes. Interdisciplinary working groups are working on integrated systems solutions, whereby all development phases being covered from conceptual design to modeling and simulation, prototyping and practical testing, also under industrial conditions. Novel, reusable methods and tools, which are developed and applied in the context of system design, are further results.

The work of IAI is embedded in the programs “BioInterfaces in Technology and Medicine”, “Energy Efficiency, Materials and Resources”, “Renewable Energies”, “Supercomputing & Big Data”, “Storage Systems and Cross-linked Infrastructures”, “Science and Technology of Nanosystems”, and “Technology, Innovation, and Society” of the Karlsruhe Institute of Technology (KIT) and the Helmholtz Association of National Research Centres.

The projects at the institute are carried out in cooperation with partners from industry, administration and other research institutions in Germany and abroad. Among others, the institute is involved in projects of the EU, various federal and state ministries, the DFG (German Research Foundation), AiF (German Federation of Industrial Research Associations), and German industry. The institute's staff members are active in a wide range of standardization committees, expert and review committees and programme committees.

News | News Archive

Best Paper Award (IEEE/ACM DS-RT 2020)
Best Paper Award (IEEE/ACM DS-RT 2020)

At the 24th International Symposium on Distributed Simulation and Real Time Applications (IEEE/ACM DS-RT 2020), Mr. Michael Kyesswa received a Best Paper Award for his contribution “A New Julia-Based Parallel Time-Domain Simulation Algorithm for Analysis of Power System Dynamics”.

The symposium serves as a forum to present current research results in distributed simulation and real-time applications.

 

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The Magic of Data – HIDA’s data animationsM. Schmitz/Neoanalog
The Magic of Data – HIDA’s data animations for the re:publica campus 2020 in Berlin

With the “data donation” from their research work, two of our doctoral researchers at the Helmholtz Information and Data Science School for Health (HIDSS4Health) contribute to enabling the artist to create animations and visualizations for access to modern data-driven research. Vojtech Kumpost wants to use machine learning methods to calculate how cell nuclei move so she can gain a closer insight into the development of organs and how diseases come about. Katharina Löffler wants to use machine learning methods to calculate how cell nuclei move so she can gain a closer insight into the development of organs and how diseases come about.

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zKIT, Magali Hauser
State Minister of the Environment Untersteller Visits KIT

On Thursday, August 6, the Minister of the Environment, Climate Protection and Energy Sector Baden-Württemberg, Franz Untersteller, visited the KIT as part of his summer tour. First there was a visit to the Energy Lab 2.0 and in the SEnSSiCC building (Smart Energy System Simulation and Control Center) and its control room the visitors were informed about the status of the digitization project "Visualization of the energy transition in Baden-Württemberg" (ViEW-BW). The guests were accompanied throughout the tour by the Vice President for Innovation and International Affairs of KIT, Prof. Thomas Hirth.

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Optimization results from a PyPSA-Eur model
PyPSA – Open-Source Software for the Energy Transition

With the Helmholtz Energy Computing Initiative (HECI), the Helmholtz Association provides a platform on which accessible benchmarks, scalable methods, realistic data and open source software are available for the planning and optimisation of future energy systems. IAI scientists are also participating in HECI with the development of the open-source software “Python for Power System Analysis” (PyPSA) as a tool for the simulation of power grids.

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apl. Prof. Dr.-Ing. Markus Reischl
apl. Prof. Dr.-Ing. Markus Reischl

We congratulate PD Dr.-Ing. Markus Reischl on his appointment as Extraordinary Professor (apl. Prof.) of the Department of Mechanical Engineering at the Karlsruhe Institute of Technology. Mr. Markus Reischl is head of the working group Machine Learning for High-Throughput Methods and Mechatronics (ML4HOME) in the Research Area of Automated Image and Data Analysis (AIDA) at the Institute for Automation and Applied Informatics. He received the Venia Legendi in 2017 after submitting his habilitation thesis “Eine umfassende Methodik zur automatisierten Auswertung von bildgebenden Hochdurchsatzverfahren”.

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Forschungsausschreibung „MINT-Innovationen“ 2020
Research call for proposals “MINT Innovations” 2020

The research project Energy Package-based Power Grid for the All Electrical Society was selected for funding in the context of the research call for proposals MINT Innovations 2020 of the Vector Foundation. The project aims to make the electricity grid fit for an All Electrical Society, which is emerging in the context of the energy transition, and which is characteristic of an energy system of the future based on 100% renewable energy. The call supports projects with start-up financing of up to 100,000 euros in the fields of mathematics, information technology, natural sciences and technology (MINT).

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apl. Prof. Dr.-Ing. Lutz Gröll
apl. Prof. Dr.-Ing. Lutz Gröll

We congratulate PD Dr.-Ing. Lutz Gröll on his appointment as Extraordinary Professor of the Department of Mechanical Engineering at the Karlsruhe Institute of Technology. Mr. Lutz Gröll is head of the working group System Theory and Control in the Research Area of Advanced Automation Technologies at the Institute for Automation and Applied Informatics. He received the Venia Legendi in 2014 after submitting his habilitation thesis “Methodik zur Integration von Vorwissen in die Modellbildung”.

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Coronavirus: Reproduktionszahl genauer geschätztRalf Mikut
Coronavirus: Reproduction number more accurately estimated

KIT researchers are developing a new method with akausalem seven-day filter for the determination of the R-value in infectious diseases.

A method for estimating the reproduction number was presented that avoids time delays and compensates for weekday-related fluctuations. For this purpose, the scientists use an acausal filter with a filter length of seven days, which uses not only past and present values, but also future values.

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