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Profilbild Weidlich
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Process-Driven Architectures

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Expertise

Prof. Weidlich is a professor at the Department of Computer Science, where he leads the Process-Driven Architectures research group. The goal of his team is to support and improve the design and the analysis of process-oriented information systems (POIS) and event-driven systems (ES). POIS are software systems that help to automate, monitor, and control processes. These systems are established in various domains, from logistics, through healthcare, to infrastructure monitoring. The team’s research focuses on formal methods for behavioural modelling and verification, event-driven approaches to monitor and control processes, as well as questions related to process-driven data integration. The group further works on techniques that optimise the run-time behaviour of event-driven systems. In particular, the evaluation of event queries over streams can be designed more efficiently once regularities within event streams have been detected. In 2016, Prof. Weidlich was named Junior Fellow of the German Informatics Society (Gesellschaft für Informatik, GI) and awarded with the Berlin Research Prize (Young Scientist) by the Governing Mayor of Berlin.

Scientific Services
  • extensive experience with the documentation of business processes and in training for process management techniques
  • expertise in process mining, data-driven analysis of processes in terms of qualitative (compliance requirements) and quantitative (bottleneck-analysis, management of resource deployment) properties
  • know-how in scalable infrastructures for event stream processing
Testimonials
  • 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 well-known German manufacturer of enterprise software: design and development of add-ons for a business process modelling platform
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Profilbild Scheuermann
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Computer Engineering Group

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Expertise

With his Computer Engineering research group, Prof. Scheuermann develops technologies for application-specific communication and computer systems that are efficient, secure, and reliable. The topics range from tailored communication protocols and application-specific digital circuits all the way to different aspects of online anonymity and privacy-preserving technologies. For instance, Prof. Scheuermann aims to interconnect automobiles to make best possible use of the available road network resources. Furthermore, he develops specialised circuitry for firewalls, so that within nanoseconds the firewall can decide what communication should be permitted. The research team models flow control and congestion control mechanisms for Internet anonymity systems, which for example allow political activists in totalitarian regimes to bypass Internet censorship. They design privacy compliant data collection algorithms, which grant detailed Internet traffic statistics without revealing information about individual users. His team’s expertise encompasses the set-up of wireless communication in between manufacturing machines in factories, so as to optimize the production process. In the field of warehouse logistics, Prof. Scheuermann combines measurements from various types of sensors to allow for a more accurate positioning of goods. In all fields of operation, tailored solutions for communication protocols and circuitry are necessary. The challenges are rooted in the particular application area: for instance, very fast or particularly reliable communication may be needed. Or data exchange is limited due to inherent technical limitations, yet the respective application must function reliably. It could be the case that IT security requirements need to be taken into account in new application fields where standard solutions fail. There may be a trade-off between data protection requirements or user privacy concerns, and communication requirements for data transmission. In all mentioned examples, it is necessary to look beyond common solution strategies and to keep the whole picture in mind. This systems perspective characterises the Computer Engineering group and its projects.

Scientific Services
  • extensive experience in analytical, simulative, and experimental Analysis of network protocols and digital circuits
  • well-equipped network laboratory, which allows for realistic set-ups of scenarios and network topologies (for experimental assessments of wired and wireless communication protocols)
  • workshops and laboratories for the design and evaluation of application-specific digital circuits, in particular of FPGA-based systems
Testimonials
  • for a large German car manufacturer: the group developed application-specific communication protocols for the data exchange between automobiles, including analytical and simulative assessment
  • for afinancial service provider: the group assessed the security of the IT and communication infrastructure
  • together with an IT security solution provider: the group developed tailored processors for hardware-supported firewalls
  • with a young start-up company: the group developes a secure system and communication architecture for highly distributed Smart City applications
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Profilbild Pinkwart
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Computer Science Education / Computer Science and Society

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Expertise

Prof. Pinkwart’s research group investigates a range of topics including adaptive educational technologies, computer supported collaborative learning, computer science education methods (especially in the fields of programming and modeling), social media and cooperative systems, and socio-technical systems. In addition, they develop multimodal human-computer interaction methods using interactive surfaces, mobile devices and 3D technologies. Prof. Pinkwart is a well-known member of numerous national and international committees and projects in basic and applied research. His team can offer specialised expertise in computer-assisted education and training, especially in the field of mobile and ubiquitous learning and teaching scenarios, computer-based group learning methods, and adaptive mechanisms in e-learning. In this context, Prof. Pinkwart and his team realise numerous research projects and co-operate with several educational institutions and companies. Concerning socio-technical systems, Prof. Pinkwart’s team conducts research on issues of design, implementation and evaluation of group-oriented software applications (e.g. online communities).

Scientific Services
  • interactive table (multi-touch)
  • electronic boards
  • tablets (20x)
Testimonials
  • co-operation with IT companies: consulting for didactical concepts applied to online courses in the fields of media production and e-learning
  • co-operation with e-learning companies: formation of study groups in large online courses
  • co-operation with automotive supplier: designing human-machine interfaces for production machines 
  • co-operation with automotive manufacturer: multimodal control concepts for car infotainment systems
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Profilbild Krutzik
Faculty of Mathematics and Natural Sciences
Department of Physics

Optical Metrology

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Expertise

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.

Scientific Services
  • 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
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Profilbild Kehrer
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Model-driven Software Engineering

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Expertise

Model-driven engineering raises the level of abstraction in software engineering by using models as primary development artifacts. In particular, domain-specific modelling languages can ease the transition between informally sketched requirements or designs and implementations by supporting high-level yet formal representations as a starting point for automation. Moreover, using a model-based development approach, critical system properties can be analyzed, validated and verified even before the system is actually built. Model-driven development thus leads to an increase in both productivity and quality. To some extent, model-driven engineering has made its way into industrial practice, most notably for the development of embedded systems in various domains. However, model-driven engineering does not suffice to successfully manage all challenges of modern software engineering, and actually creates new problems. Research conducted at the Chair of Model-driven Software Engineering is particularly driven by relevant challenges and problems arising from the adoption of the model-driven engineering paradigm in industrial practice.

Scientific Services
  • Experience in implementing model-based development engineering methods, techniques and processes
  • Know-how regarding the set-up of model-based transformation chains (domain-specific modeling languages, model transformation and interpretation, code generation) and development environments (collaborative modeling, (co-)evolution of models, model repair and synchronization)
  • Expertise in the field of version and variant management, especially customized configuration management and software product lines
Testimonials
  • Collaboration with a Berlin-based software company on the development of innovative software architecture analysis techniques for the quality assurance of embedded systems
  • Consulting for a major German automotive supplier with regard to fundamental questions of configuration management of models for the model-driven development of embedded systems
  • Support of an international electrical engineering corporation with the model-based development of software components for a new generation of internet-based multimedia building communication systems
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Prof. Hoppe
Faculty of Life Sciences
Department of Psychology

Occupational Health Psychology

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Expertise

Prof. Hoppe’s research is focused on Occupational Health Psychology (OHP) especially on the analysis of work activities to maintain employee health and performance as well as to provide learning and development opportunities. OHP integrates occupational and health psychology with occupational medicine and traditional labor safety, which is insufficient for today’s flexible employment situation. Prof. Hoppe also examines the psychosocial characteristics of a specific workplace, e.g. work requirements or the level of influence on and control over tasks as well as the social working environment. She also studies the effects of these characteristics on employee health and his/her well-being. She investigates how psychosocial work characteristics influence an employee’s motivating factors like job satisfaction and commitment. Particular attention is paid to the situation of migrant and low-skilled workers and the analysis of the impact their workplaces and work environments may have on their health and well-being. Moreover, Prof. Hoppe studies multi-ethnic and -lingual workforces and the effects of diversity on employee health.

Scientific Services
  • risk assessment methods for workplace conditions
  • employee surveys regarding the promotion of health at workplace
Testimonials
  • postal operators, logistics companies, professional care providers, manufacturing companies: execution of employee surveys to gather data on psychosocial strain and resources in the workplace and to analyse effects of stress, job satisfaction and work performance
  • public institutions (e.g. universities, federal ministries), consulting companies, self-employed persons: development of health-related interventions and training sessions via mobile devices (e.g. smartphones, tablets) to facilitate recovery strategies and self-management
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Profilbild Hafner
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Adaptive Systems

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Professor Hafner‘s research in Adaptive Systems is concerned with extracting principles of intelligence from biological systems and transferring them to artificial systems. We focus on the transfer of cognitive skills to autonomous robots. The challenge not only lies in building intelligent autonomous robots, but also in gaining insights into biological systems through robot experiments. Our main research themes are sensorimotor learning, internal models for prediction, attentional processes, and spatial cognition. The methodological approaches cover evolutionary algorithms, neural learning, and information theory. We use various types of mobile robots as research platforms, e.g. humanoid, mobile, flying and underwater robots, as well as software simulations. Professor Hafner is IEEE Senior Member and Principal Investigator in several projects funded by the EU.

Testimonials
  • Local company for automation and robotics: Student semester project for the development of a collaborative fleet management system for autonomous transport robots.
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Profilbild Grass
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Wireless Broadband Communication Systems

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Research at the chair of Wireless Broadband Communication systems within the computer engineering group focuses on communication systems for ultra-high data rates. Professor Eckhard Grass and his research group develop and investigate systems operating at ultra-high frequencies and research techniques and methods to improve the efficiency and reliability of wireless communication. The main reserach and developement focus is physical layers (PHY) and MAC layers.

Scientific Services
  • Complete toolchain for modelling, simulation, design and test of communication systems
  • Software Defined Radio (SDR) modules
  • Various FPGA platforms and toolchains for FPGA design
  • Modules for mm-wave communications
  • Measurement equipment such as oscillosocopes, spectrum analyzers, arbitrary waveform generators
Testimonials
  • Development of a system for high-speed wireless communication with simultaneous distance measurement for a renowned automotive supplier
  • mm-wave communication system with integrated positioning of mobile nodes for augmented reality applications for German industrial equipment supplier
  • Joint development of a system for secure wireless communication for industry 4.0 together German industry partners
  • mm-wave connections for 5G transport networks with European industry partners
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Profilbild Kratsch
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Algorithm Engineering

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Expertise The chair of Algorithm Engineering performs fundamental research of algorithmic problems. The goal of our research is to find algorithms that solve problems provably quickly by using of structural properties of typical input instances. The obtained parameterized algorithms can solve appropriately structured instances of problems in good time even though the problems are hard to solve in general, e.g. problems in integer optimization or logistics. Generally, by taking into account structural properties of the input data one can optain provably faster algorithms. Another topic of the chair are different forms of efficient processing, e.g. fast data reduction for difficult problems in order to reduce the cost of the actual computation. Similarly, preprocessing is essential in order to allow fast processing of queries within a given set of data.
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Profilbild Reulke
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Computer Vision

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Expertise As professor of the chair of Computer Vision professor Reulke’s research is focused on classical methods of image processing and 3D reconstruction as well as modern approaches to machine learning. Typical areas of application are object detection and tracking of people and vehicles in public areas, the three-dimensional detection of environment, and the characterisation of sensors for these tasks. The applications relate to terrestrial camera systems, as well as optical sensors on airborne and space platforms. Simultaneously, we cooperate with a large number of SMEs in the Berlin area.
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Profilbild Redlich
Faculty of Mathematics and Natural Sciences
Department of Computer Science

System Architecture

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Expertise Many IT systems are (for good reasons) technologically, administratively, or spatially seperate. It is the goal of middleware to integrate these systems, without merging them too itricately. Experience shows that this is not a trivial task. The chair of Systems Architecture investigates key issues that come up repeatedly: reliability/dependability, data security (and privacy), consitency of replicated data, performance and scalability. Autonomous subsystems should be able to auto-configurate but also support coordination by an external operator. Currently, home automation is our premier application domain for studying the aforementioned research questions and to evaluate proposed solutions in practice.
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Profilbild Grunske
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Software Engineering

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Expertise

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.

Scientific Services
  • Software engineering
  • Testing and verification
  • Statistics/probabilistic methods
Testimonials
  • 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”
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Profilbild Freytag
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Databases and Information Systems

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Expertise

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).

Scientific Services
  • Large IBM Server Linux/AIX with DBMS IBM DB2
  • Computer cluster with 128 cores
  • 30TB storage capacity
Testimonials
  • 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
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Profilbild Arampatzis
Faculty of Humanities and Social Sciences
Department of Sports Sciences

Trainings and Movement Sciences

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Company testimonials

zebris Medical GmbH, myon AG, Simi Reality Motion Systems GmbH

Expertise

Prof. Arampatzis and his Department of Training and Movement Sciences are dealing with the interaction of the neural and musculoskeletal system in research and teaching. Of special interest for Prof. Arampatzis is the adaptation of the neural and musculoskeletal system by mechanical stress and its influence on human performance as well as motor control and motion security. Through an integrative approach of biomechanics, physiology and neuroscience, consequences for athletes and for people with degenerative changes of the neural and musculosceletal systems will be deduced. The main research focus of the department is on quantifying and changing the neuro-biomechanical potential of humans and on the investigation of its influence on the mobility in everyday life and sports. Considering this, the department also investigates the role of sports activities in order to prevent accidents and to preserve the quality of life for the elderly and people with chronic diseases.

Scientific Services

The departments offers three large laboratories with modern sports science equipment:

  • Motion Analysis Laboratory with a VICON system including twelve cameras and three AMTI force plates. Both the foundations of the force platforms as well as the camera mounts are decoupled from the sports ground of the laboratory to prevent the transmission of vibrations.
  • Force Diagnostic Laboratory with DAVID and Technogym strength diagnostics equipment for all major muscle groups
  • EMG laboratory with a Biodex System-3 and an Esaote ultrasound machine, which is used to study the muscle-tendon plasticity. To control the joint angle at the Biodex camera, mounts are available for installing eight VICON cameras. A large LCD-Screen provides the possibility for biofeedback. All labs are air-conditioned and are equipped with an uninterruptible power supply and complete darkening.
Testimonials
  • zebris Medical GmbH: evaluation of pressure distribution measurements in treadmills
  • myon AG: evaluation of a wireless electromyography system aiming to quantify muscle activation
  • Simi Reality Motion Systems GmbH: evaluation of a 3D motion capture system designed to analyse complex human movements
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