Below is a compilation of research groups in the field of AI, Big Data, IoT and IT security & trust, located at German universities and research institutes. If your group conducts research in any of these areas and you would like to be featured on our platform or edit an existing entry, please complete the following form.

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Big Data Analytics

uni-weimar.de

Technology: 
Data Management / Big Data

The junior research group Big Data Analytics is focusing on scalable data analysis and mining techniques and their interplay with research fields like visualization, retrieval and algorithm engineering. Tools and algorithms to support analytic processes in big data will be developed in cooperation with experts from diverse application areas.

Director: Junior-Prof. Dr. Matthias Hagen

Research Center for Applied Computer Science

fzai.h-da.de

Technology: 
AI / Machine Learning
,
 Data Management / Big Data
,
 IT Security

The research center for applied computer sciences bundles research efforts from five research groups. The main topics addressed are related to artificial intelligence, Machine Learning, Data Science, Internet of Things, Industry 4.0, Smart Home / Smart Cities / Smart Grids, Cloud Computing, Mixed Reality, Software security, Cybersecurity and Privacy.

Director: Prof. Dr. Bernhard Humm

Big Data Competence Centre – Darmstadt

fbi.h-da.de/big-data-competence-center

Technology: 
Data Management / Big Data

Research activities of the Big Data Competence Centre focus on NoSQL database technologies. Currently our main research topic is schema management in NoSQL database systems. Together with our research partners in Rostock and Regensburg, we develop new approaches for schema evolution and schema extraction, as well as data migration strategies. As proof of concept, we developed Darwin, a schema management component for different NoSQL database systems.

Director: Uta Störl

Business Informatics

iss.uni-saarland.de

Technology: 
AI / Machine Learning

Specialized in Information and Service Systems. The research areas can be divided into the following subject areas: AI Operating System for Internet of Things (AIOS – IOT), Deep Learning and Computer Vision, and Responsible AI in User Interfaces.

Director: Univ.-Prof. Dr.-Ing. Wolfgang Maaß

Business Informatics – Frankfurt am Main

wi.informatik.uni-frankfurt.de

Technology: 
AI / Machine Learning

The research group adopts the principles of adaptivity and change in the areas of agile workflow management, business process management, case-based reasoning, cloud computing, and knowledge management.

Director: Prof. Dr. Mirjam Minor

Business Process Management Group – DFKI

bpm.dfki.de

Technology: 
AI / Machine Learning

The group follows a design-oriented approach. It aim on the long-range development of concepts, methods and techniques for modeling business information systems. The research is structured in four streams: reference modeling, business engineering, applications, and philosophy of information systems.

Director: Prof. Dr. Peter Fettke

Center for Cognitive Science – Freiburg

portal.uni-freiburg.de/cognition

Technology: 
AI / Machine Learning

The group investigates the mental capacities and capabilities of the human being, including foundational processes and prerequisites, by means of empirical research and cognitive modelling. Cognitive Science furthermore aims to describe and explain cognition in other organisms and in technical and technological systems (artificial intelligence).

Director: Prof. Dr. Evelyn Ferstl

Central Lab Facilities

cit-ec.de/central-lab-facilities

Technology: 
AI / Machine Learning
,
 User Experience / HCI

At the Central Lab Facilities, we are exploring methods and processes to enable high-quality research on robots and modern human-machine interfaces.

Director: Sven Wachsmuth

Chair of Automata Theory

tu-dresden.de/ing/informatik/thi

Technology: 
AI / Machine Learning

Most of the research done in this group is concerned with automated deduction, that is, with the problem of how to automate the process of drawing logical inferences. In this context, they are mainly interested in subclasses of first-order predicate logic for which the interesting inference problems are still decidable.

Director: Prof. Dr.-Ing. Franz Baader

Chair of Intelligent Systems

fim.uni-passau.de

Location: Passau

Technology: 
AI / Machine Learning

The Chair’s research is concerned with machine learning procedures and modelling procedures in the field of intelligent and complex systems engineering.

Director: Prof. Dr.-Ing. Sven Tomforde