Faculty of Mathematics and Natural Sciences
The Logic in Computer Science group focuses on theoretical computer science, with emphasis on logic, database theory, and complexity theory. Particular attention is paid to the relations between these areas. For example, logics serve as a basis for database query languages and specification languages used for automatic verification, and many aspects of complex systems can be modeled by logical structures. Thus, properties of complex systems can be specified by logical formulas. The overall aim of our group is to gain better understanding of the complexity inherent in a problem or a system. Here, we are interested in various measures of complexity, including the computational complexity ("How difficult is it to algorithmically solve the problem?") and the descriptive complexity ("How difficult is it to describe the problem in a suitable formalism?"). Particular attention is paid to the connection between logical description of problems and efficient algorithmic solutions.
Prof. Weidlich chairs a research group on "Databases and Information Systems" at the Department of Computer Science. Earlier, he held positions at Imperial College London and the Technion - Isreal Institute of Technology. The group focuses on data-driven analysis of process-oriented systems (process mining), approaches for efficient processing of continuous data streams, as well as methods for the design of workflows for exploratory data analysis. The algorithms and systems developed by the group have been successfully applied in diverse domains, reaching from health care through logistics to e-commerce.
Consulting and knowledge transfer in
- Process Mining, data-driven analysis of processes
- Scalable infrastructures for data stream processing
- Design of data analysis workflows
- for a leading US cancer clinic: analysis and improvement of clinical processes based on the data of a real-time-locating-system
- for an international oil and gas group: development of techniques for detecting irregularities in streams of sensor data
- for a manufacturer of enterprise software: design of algorithms for efficient analysis of business process executions
As part of their scientific activity Dr Markus Krutzik and the team members of the.quantum.chapter have acquired an extensive amount of expertise in developing tailored quantum sensors - from key technology to subsystem and system level. Quantum optical sensors and optical clocks are used in high-precision inertial navigation, gravimetry and gradiometry or for the synchronisation of networks. Hence, they are central for navigating GPS-free environments, for geophysics, the exploration of natural resources, the monitoring of climate change, and for addressing fundamental questions of modern physics. Central to their research are compact and robust setups for optical spectrocopy, absolute frequency references, and ultra-cold atom based inertial sensors. For this purpose, the team developed lasers and optical systems for generation and manipulation of light, as well as control software and data management platforms. Their setups are not only operated in laboratory research: They are also used as in field or even in space. In addition to development, testing and operation of atomic quantum sensors, Dr Krutzik and the team gained expert knowledge in all stages of mission and system design, ranging from mission architecture and identification of requirements to system integration and qualification, as well as development of control concepts and data analysis. In addition to Humboldt-Universität zu Berlin Dr Krutzik is also associated with Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik.
- Methods for the design, development and testing of compact, robust and tailored quantum sensors - from component to system level
- Identification of critical technologies and construction of prototypes
- Workshops and seminars
Dr. Krutzik is also part of "The Quantum Chapter" team, which provides workshops, training, prototyping, and consulting around the topic of quantum technology.
TWT GmbH
At the Chair of Software Engineering, Prof. Grunske and his team specialise in methods of software technology relevant to the field of automated development and quality control of software systems. His work also involves probabilistic techniques on the basis of which the probable and less probable behaviour of a program can be modelled. This allows for easier discovery and correction of software anomalies. Such statistic models are used in the monitoring and debugging of programs during runtime as well as in testing software, which supports the development of safe and reliable software systems. Furthermore, Prof. Grunske develops methods that enable a precise definition of the quality requirements of software systems, the formalisation of verification conditions as well as the (technical) safety in embedded systems and process and performance management.
- Software engineering
- Testing and verification
- Statistics/probabilistic methods
- Formalisation of application scenarios in cooperation with TWT GmbH: “Safe.Spec: Quality control of behaviour requirements”
- Using software systems to derive probabilistic models that can be used as specification during the software engineering process: „EMPRESS: Extracting and Mining of Probabilistic Event Structures from Software Systems”
- Development of evaluation methods for probabilistic models as well as machine learning based techniques for the transformation of models: “ENSURE-II: ENsurance of Software evolution by Run-time cErtification”
Prof. Freytag holds the chair of Databases and Information Systems (DBIS). His research interests include all aspects of processing and query optimisation in (object-)relational database systems, developments related to databases (such as semi-structured or graph based data), data quality, big data analyses as well as privacy support in database and information systems. Furthermore, Prof. Freytag is involved in many cooperations using database technology for applications such as geoinformation systems (GIS), bioinformatics, physics and life sciences. In the past, he received the IBM Faculty Award four times for collaborative work concerning databases, middleware, and bioinformatics/life sciences. In 2009 and 2010, Prof. Freytag won the HP Labs Innovation Research Award for his research in the field of databases and cloud computing. He was one of the organisers of the VLDB (Very Large Data Bases) conference in Berlin in 2003, the most important international database conference. From 2001 to 2007, he was a member of the VLDB foundation (VLDB Endowment Inc.). Since 2009, Prof. Freytag has been the spokesperson of the department DBIS of the German Informatics Society (GI).
- Large IBM Server Linux/AIX with DBMS IBM DB2
- Computer cluster with 128 cores
- 30TB storage capacity
- Renowned American IT/DBMS manufacturer: improving existing database management systems (DBMSs) in the area of query optimisation; extending existing ETL tools
- Renowned American IT/DBMS manufacturer: extending DBMS functionality; designing and prototyping performance improvements in query processing; suggestions for future extension of the DBMS products
- Well known German software manufacturer: continuous consulting in the area of database systems, spe-cifically, query processing over several years to improve performance and functionality
- Well known German company: design and implementation of a query processing optimiser for the Lighweight Directory Access Protocol (LDAP) product of this company
- Consulting for various SMEs in Germany in the area of data modeling and process modeling using a state-of-the-art DBMS technology; using DBMS technology within their own products; strategic consulting for a long term use of DBMS technology