Aerospace

Prof. Danilov
Faculty of Economics and Business Administration

Management

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
Expertise

Professor Danilov is engaged in empirical human resource management research, as well as the identification of causal relationships of the effect of human resource management tools on employee motivation and productivity. She also conducts research in organizational and human resource economics, in the field of empirical human resource management (HRM), and in the course of this she works with Big Data and People Analytics using machine learning.

 

Scientific Services
  • randomized studies (A/B tests) on incentive setting
  • work design and employee motivation
  • analysis of data (accounting, personnel, etc.)
  • "Delegation of decision making and productivity and employee satisfaction" at a world-leading energy company.
MEHR ANZEIGEN
Profilbild Schlingloff
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Software Engineering

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
Expertise

Our daily life more and more depends on computational systems embedded in common appliances. Just think of advanced driver assistance systems in cars, medical devices, or indsutrial supervisory control and data acquisition systems. Since such systems also realise safety-critical tasks, it is all the more important to provide effective and efficient quality assurance for them. The specification, verification and testing theory group researches methods for model-based development and model checking, logical verification, and automated testing of safety-critical software. Prog. Schlingloff is chief scientist of the system quality center at Fraunhofer FOKUS, Berlin, and chairman of the boards of GFaI e.V. and ZeSys e.V.

  • Major German company for communication and sensors: Student semester project for the design and implementation of a system for distributed control of indoor air quality.
MEHR ANZEIGEN
Profilbild Pinkwart
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Computer Science Education / Computer Science and Society

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
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)
  • 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
MEHR ANZEIGEN
Profilbild Krutzik
Faculty of Mathematics and Natural Sciences
Department of Physics

Experimental Physics / Joint Lab Integrated Quantum Sensors

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
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

Dr. Krutzik is also part of "The Quantum Chapter" team, which provides workshops, training, prototyping, and consulting around the topic of quantum technology.

MEHR ANZEIGEN
Profilbild Kehrer
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Model-driven Software Engineering

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
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
  • 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
MEHR ANZEIGEN
Profilbild Patrick Hostert
Faculty of Mathematics and Natural Sciences
Department of Geography

Geomatics

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
Industries
Company testimonials

alta4
Geoinformatics AG
NGOs, authorities and global tech- and logistics companies

Expertise

Prof. Hostert’s explores cutting-edge satellite data analysis. His main focus lies on questions regarding the global change, particularly large-scale mapping in agrarian- and forestry systems and near-nature ecological systems worldwide. He analyses the change of the earth’s surface through different methods, for example with machine learning, big data, time series analyses, hyperspectral and multisensor approaches, as well as multiscale analyses. Regional expertise of the team covers Germany, the mediterranean areas and South America, as well as Central Asia.

Scientific Services
  • satellite data analysis
  • AI in remote sensing
  • large-scale remote sensing analysis with big data approaches (particularly Sentinel-2, Landsat), funded through projects of the BMWi, BMBF, BMEL, as well as the EU
  • scientific monitoring of satellite missions (Landsat Science Team, EnMAP ScientificAdvisory Group)
  • satellite based mapping and land use analysis for NGOs, authorities and global tech- and logistics companies
MEHR ANZEIGEN
Prof. Hoppe
Faculty of Life Sciences
Department of Psychology

Occupational Health Psychology

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
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
  • interventions to promote health at work
  • 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
  • Michel, A. & Hoppe, A. (2022). Handbuch Gesundheitsförderung bei der Arbeit: Interventionen für Individuen, Teams und Organisationen (1. Aufl. 2022 Aufl.). Berlin: Springer.
MEHR ANZEIGEN
Profilbild Hafner
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Adaptive Systems

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
Expertise

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.

http://humboldt.gmbh/forschungskooperation

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

Wireless Broadband Communication Systems

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
Expertise

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
  • 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
MEHR ANZEIGEN
Profilbild Reulke
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Computer Vision

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
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.
MEHR ANZEIGEN
Profilbild Redlich
Faculty of Mathematics and Natural Sciences
Department of Computer Science

System Architecture

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
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.
MEHR ANZEIGEN
Profilbild Grunske
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Software Engineering

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
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
  • 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”
MEHR ANZEIGEN
Profilbild Freytag
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Databases and Information Systems

Share Profile Link
Profile link copied.
Profil Link teilen
Profil Link wurde kopiert.
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
  • 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
MEHR ANZEIGEN