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Presenting our work groups:

Artificial Intelligence and Machine Learning

Our research lies in the areas of Artificial Intelligence (AI) and Machine Learning (ML). Our goal is to design intelligent algorithms that learn from data continuously following the cumulative nature of human learning, while ensuring that what has been learned is not only correct but also delivers positive social impact in accordance with ethical and legal requirements.

Dahlem Center for Machine Learning and Robotics

Artificial Intelligence and Machine Learning have become more and more important. We are on the threshold to novel applications in industry and services, just as the recent success of AI projects has shown (Google’s AlphaGo, IBM’s Watson, autonomous cars). Four research groups at Freie Universität Berlin have now started the “Dahlem Center for Machine Learning and Robotics" in order to explore machine learning algorithms and applications of intelligent systems.

Programming Languages

The work group "Programming Languages" deals with the theory of programming, formal semantics of programming languages, implementation of functional programming languages, model-driven software development, and innovative concepts in teaching computer science.

Databases and Information Systems

The Database and Information Systems Group focuses on both application-oriented and basic research issues in the domains of modeling and algorithm design for data management. These aspects were carried out in two major fields of application, namely information retrieval (Prof. H. Schweppe) and spatial databases (Prof. A. Voisard). With the emergence of mobile devices, the focus has shifted to location-based services, e.g., navigation systems on smart phones. Orthogonally, an important part of the research work tackles the appropriateness of event-based systems and event-driven architectures in this context.
The group has a close cooperation with Fraunhofer FOKUS, where Agnès Voisard is in charge of strategic development in the competence center "Electronic Safety and Security Systems for the Public and Industries" (ESPRI).

Corporate Semantic Web

Corporate Semantic Web invites businesses to state their interest in Semantic Web technologies and to describe individual business-cases which will be examined and evaluated with regard to innovative methods and tools designed by the research group.

Secure Identity

Prof. Dr.-Ing. Volker Roth is a Bundesdruckerei GmbH Endowed Professor for Secure Identity. His primary occupation is Computer Science research in the area of information systems security, with a particular interest in secure identity and psychological acceptability of security mechanisms. We are particularly excited by security mechanism designs that are as simple as possible (but not simpler) and work in a decentralized fashion (i.e without the need for a common root of trust).

Software Engineering

We are concerned with reducing the gap between the State of the Art and the average State of the Practice in all areas of software engineering.

In teaching we strive for realistic and practically applicable perspective, manner, and content. In research we are interested in understanding fundamental questions of practical importance. Most (but not all) of the research is more or less closely concerned with supporting the software process. The research approach is primarily empirical and experience-based on Prof. Lutz Prechelt's side, and constructive on Prof. Ina Schieferdecker's.

Algorithmic Bioinformatics

The Algorithmic Bioinformatics group focuses on the development of novel algorithms and data structures for problems in the analysis of biomedical mass data. Apart from modeling problems and devising efficient algorithms to solve the problems, the group focuses on developing free, integrated implementations of these algorithms and data structures in maintainable software libraries such as OpenMS and SeqAn.

Theoretical Computer Science

We are some 20 people including faculty, PhD students, scientific guests, and student researchers. Our main research area is algorithms, in particular computational geometry, with an emphasis on the analysis and the comparison of patterns and shapes with geometric methods.
Apart from these topics, the group offers others within teaching theoretical computer science, for example, complexity theory, combinatorics, or computability theory. Furthermore, courses are offered within areas of practical or applied computer science that have a geometric component, such as computer graphics, pattern recognition or computer vision.

Computer Science Education

Everyone wanting to be become a secondary school teacher in computer science: welcome! Our seminars, projects and internships are concerned with learning and teaching computer science. Analyzing, planning, and actually giving computer science school lessons are part of the process. And, last-not-least, motivation, interest, educational standards, teaching and learning theories, and pupils' viewpoints are considered.

Our research in teaching methodologies comprises biography-based learning processes in the use of computers, eye-tracking studies in the context of code-reading, and symbiotic instructional development.

Network-based Information Systems

In September 2002 Prof. Robert Tolksdorf initiated the working group "Network-based Information Systems: 10 years of exciting and innovative research, projects, teaching and cooperation in the field of semantic web, business foundation and -initiatives, network-based technologies, self-organisation and networks.

Computer Systems and Telematics

The Computer Systems & Telematics Group focuses on mobile and wireless communications and operating systems for embedded devices. Prof. Schiller is head of the group. Professors Katinka Wolters, Mesut Günes and Marcel Kyas are on his side.