Spokespersons of the Center

Prof. Dr. Katharina Morik

Prof. Dr. Katharina Morik is Professor of Computer Science at the Technical University of Dortmund.

Profile

Katharina Morik received her doctorate from the University of Hamburg in 1981 and her habilitation from the TU Berlin in 1988. In 1991, she established the chair of Artificial Intelligence at the TU Dortmund University, which focuses on Machine Learning. Currently, the focus is on learning algorithms for distributed, real-time applications, for example in astrophysics, industry 4.0 or traffic infrastructure.

In 2011, she acquired the Collaborative Research Center SFB 876 “Providing Information by Resource-Constrained Data Analysis”, of which she is the spokesperson. Ms Morik is involved in numerous EU projects: She has coordinated the MiningMart project and is currently working on the analysis of data flows for transport planning in the VaVel project.

Ms Morik has been a member of the Academy of Technical Sciences since 2015 and of the North Rhine-Westphalian Academy of Sciences and Arts since 2016. She is the author of more than 200 publications in prestigious journals and conferences. She was a member of the editorial board of the journal “Machine Learning” and is currently one of the editors of the international journal “Data Mining and Knowledge Discovery”. She was a founding member, Program Chair and Vice Chair of the conference series IEEE International Conference on Data Mining (ICDM) and Program Chair of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD).

The first efficient implementation of the Support Vector Machine (SVM) and the globally successful data analysis tool RapidMiner were developed at her department. Together with Volker Markl, Ms Morik heads the working group “Technological Pioneers and Data Science” of the platform “Learning Systems” of the Federal Ministry of Education and Research (BMBF).

Prof. Dr. Katharina Morik

Technical University of Dortmund
Faculty of Computer Science
Otto-Hahn-Str. 12
44227 Dortmund
Germany

katharina.morik@tu-dortmund.de
www-ai.cs.uni-dortmund.de/en
www.sfb876.tu-dortmund.de/en

Prof. Dr. Stefan Wrobel

Prof. Dr. Stefan Wrobel is Professor of Computer Science at Uni of Bonn and Director of the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS.

Profile

Stefan Wrobel studied Computer Science in Bonn and Atlanta, Georgia, USA (M.S., Georgia Institute of Technology) with a focus on Artificial Intelligence and received his doctorate from the University of Dortmund. After working in Berlin and Sankt Augustin, he became Professor of Computer Science at the University of Magdeburg, before accepting a call to his current position in 2002. Since 2014, he has also been one of the directors of the Bonn-Aachen International Center for Information Technology (b-it).

Professor Wrobel has been dealing with aspects of digitization for many years, in particular with intelligent algorithms and systems for the analysis of large amounts of data and the influence of Big Data/Smart Data on the use of information in companies and society. He is the author of a large number of publications in the fields of Data Mining and Machine Learning, a member of the editorial board of several leading journals and a founding member of the “International Machine Learning Society”.

As speaker of the “Fraunhofer Alliance Big Data and Artificial Intelligence”, director of the “Fraunhofer Research Center Machine Learning”, deputy chairman of the “Fraunhofer Information and Communication Technology Group” and speaker of the group “Knowledge Discovery, Data Mining and Machine Learning” of the Society for Computer Science, he is involved nationally and internationally in the topics of digitization, intelligent use of Big Data and Artificial Intelligence.

Prof. Dr. Stefan Wrobel

Fraunhofer Institute for Intelligent Analysis
and Information Systems IAIS
Schloss Birlinghoven
53757 Sankt Augustin
Germany

stefan.wrobel@iais.fraunhofer.de
www.iais.fraunhofer.de/en
www.iai.uni-bonn.de/en

 

Partners of the Center

TU Dortmund University – Faculty of Computer Science

With 22 professorships, the Faculty of Computer Science at the Technical University of Dortmund is one of the largest computer science faculties in Germany. Research and teaching focuses on data analysis, modelling and simulation. The Chair of Artificial Intelligence of the faculty deals with the field of Machine Learning, in particular with the practical implementation of learning methods and the development of algorithms.

The Dortmund Faculty of Computer Science was one of the first university computer science departments in Germany. It offers a spectrum of computer science that only a few locations in Germany have. The faculty’s task is to further develop and teach the formal and constructive foundations for the design, implementation and use of even very large and complex information technology systems. The research includes basic research as well as application-oriented problems. The Faculties of Computer Science, Statistics and Mechanical Engineering work closely together and offer joint courses on Data Science. Results are published internationally or are incorporated into products within the framework of co-operations with companies. The Chair of Artificial Intelligence has been significantly involved in the development of Machine Learning in Europe for many years.

Faculty of Computer Science: www.cs.tu-dortmund.de/nps/en

Chair of Artificial Intelligence: www-ai.cs.uni-dortmund.de

Fraunhofer IAIS

The Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS is one of the leading institutions for applied research in the field of intelligent data analysis and knowledge development. About 250 data scientists and IT specialists support businesses and organizations with tailor-made technical solutions for the optimization of products, services and processes as well as for the implementation of their digital transformation.

The focus is on solutions that help clients from business, industry and the public sector to manage information and make decisions through the comprehensive analysis and linking of large data sets (Big Data). Techniques of Artificial Intelligence and Machine Learning create new possibilities for knowledge discovery and the development of new data-driven business models. To optimize corporate and security procedures, the experts at Fraunhofer IAIS use flexible process models that enable in-depth analysis and increase business success. With its staff, Fraunhofer IAIS bundles competences from all engineering disciplines, especially computer science, mathematics, natural sciences, business administration, geosciences and social sciences with profound industry knowledge. Research focuses on data science, Artificial Intelligence, Machine Learning/Deep Learning, linked data, multimedia pattern recognition as well as system modeling and analysis.

www.iais.fraunhofer.de/en

University of Bonn – Institute for Computer Science

The Institute for Computer Science is a scientific institution of the Faculty of Mathematics and Natural Sciences of the University of Bonn. The research areas at the institute are divided into four areas: Algorithms, Graphics-Vision-Audio, Information and Communication Management and Intelligent Systems. The competence center ML2R cooperates closely with the department III “Intelligent Systems”, which is headed by Prof. Stefan Wrobel.

The Bonn Institute for Computer Science was founded in 1975 and is thus one of the first computer science departments in Germany. Nowadays, more than 1900 students study computer science as their main subject: Computer science is, in terms of the number of students, the largest subject of the Faculty of Mathematics and Natural Sciences at the University of Bonn. At the institute, more than 20 professors in six departments teach and conduct research with approx. 100 scientific staff on permanent and third-party funded positions and are supported by approx. 25 technical and administrative staff. In addition to Machine Learning and Artificial Intelligence, the research agenda of Division III “Intelligent Systems” includes the entire intelligent data and learning chain: data storage and linking, analysis and pattern recognition as well as image processing. The Bonn-Aachen International Center for Information Technology B-IT is a partner of Bonn University and is closely connected to the cooperation network of the Competence Center ML2R.

Bonn-Aachen International Center for Information Technology: www.b-it-center.de

Institute of Computer Science: www.informatik.uni-bonn.de/en

Fraunhofer IML

The Fraunhofer Institute for Material Flow and Logistics IML is regarded as the first address in integrated logistics research and works in all fields of internal and external logistics. In line with the Fraunhofer idea, on the one hand, solutions to problems for direct use by companies are developed, on the other hand, advance research of two to five years is carried out, in individual cases beyond that.

Founded in 1981, the institute currently employs 290 scientists and 250 PhD students, supported by colleagues in workshops, laboratories and service departments. Teams, put together according to project and client needs, create cross-industry and customer-specific solutions in areas such as material flow technology, warehouse management, business process modelling, simulation-based corporate and system planning, transport systems, resource logistics and e-business. The “Internet of Things” is coordinated Fraunhofer-wide by Fraunhofer IML.Currently, the largest logistics research initiative in Europe is the “EffizienzCluster LogistikRuhr” with 120 partner companies and eleven research institutes, in which the Fraunhofer IML plays a leading role. The three institute directors, all of whom hold professorships at the Technical University of Dortmund, have diverse research networks also in the basic research area. In addition to Dortmund, other locations are Frankfurt/Main, Hamburg, Prien am Chiemsee, Lisbon and Beijing.

www.iml.fraunhofer.de/en