Accor Hotels Germany, SHS VIVEON
Prof. Ziegler and his team’s area of expertise is psychological diagnostics. He successfully collaborated with renowned companies on projects, which focused on the development of competence models, employee surveys, annual performance reviews and occupational aptitude testing. Prof. Ziegler and his team also train individuals or teams on topics of personnel assessment, e.g. assessment centres and interviews. Moreover, Prof. Ziegler develops customised diagnostic processes and evaluates them.
PC-laboratory with 10 workstations as well as several performance and personality tests.
- Accor Hotels Germany: development of competence models
- SHS VIVEON: realisation of training for interviewers
- International executive headhunting company: development of customised personality test
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.
- 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
- 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
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).
- 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
The research of Prof. Leser and his group is focused on all aspects of management, integration and analysis of heterogeneous, large and distributed data sets including natural language texts (text-mining and information extraction). This encompasses subjects such as data warehouses and ETL, graph databases, deep web and semantic web, machine learning, similarity search, scientific workflows, statistical methods of data analysis as well as methods for assessing and securing data quality. The team of Professor Leser conducts research in a variety of interdisciplinary projects, especially with colleagues from the life sciences covering the range from basic molecular biology to Systems Medicine.
Very good IT-facilities:
- several state-of-the-art parallel computer cluster (20-80 CPUs, 1 TB main memory)
- cluster with 60+ cores
- 50TB+ storage
- For an IT service provider: Consultancy and prototype development in the field of master data standardisation and integration
- For an IT-manufacturer: Development and valuation of algorithms for analysing data quality
- For an international pharmaceutical company: Consultancy and development of text-mining-procedures in biomarker development
- For a medium-sized biotech company: Joint system development (partly funded by the German Federal Ministry for Economic Affairs and Energy) in the field of human genotype changes evaluation
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.
- 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
ARGE Ansiedlungsmanagement Friedrichshain-Kreuzberg (c/o Friedrichshain-Kreuzberger Unternehmerverein e.V.), Wüstenrot Foundation, Senator of Economic Affairs, Labour and Ports, Bremen, Bayerische Motorenwerke AG (BMW)
Prof. Helbrecht focusses her research on the cultural, social and spatial development of cities. She investigates urban branding, city image and identity as well as the marketing thereof. Neighbourhood and urban development policies, urban governance, housing markets and demographic change are also topics of her research. Furthermore, Prof. Helbrecht conducts analyses of social space and studies concerning the public sphere and space. As the director of the Georg-Simmel-Centre for Metropolitan Studies (Georg-Simmel-Zentrums für Metropolenforschung / GSZ), platform for interdisciplinary urban research, and as a member of the Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys) Prof. Helbrecht is well connected in her field of expertise and prepared for interdisciplinary research projects.
- ARGE Ansiedlungsmanagement Friedrichshain-Kreuzberg (c/o Friedrichshain-Kreuzberger Unternehmerverein e.V.): scientific accompanying research on conflicts concerning commercial asset management of the night-economy in Kreuzberg
- Wüstenrot Foundation: „Wohneigentum in Europa“ - Analysis of residential property in Europe and of the factors influencing home ownership quotas in cooperation with the ifo Institute (Leibniz Institute for Economic Research at the University of Munich)
- Senator of Economic Affairs, Labour and Ports, Bremen: „Engpassfaktor Humankapital: Strategien der Bremer Wirtschaftsförderung zur Attraktion von Hochqualifizierten als Standortvoraussetzung der High-Tech-Industrie“ - Analysis of factors influencing (re-)location decisions of highly qualified professionals in a specific region for high-tech industry
- Bayerische Motorenwerke AG (BMW): „Der Kunstpark Ost: Wirtschaftliche und kulturelle Bedeutung für München“
- Georg-Simmel-Centre for Metropolitan Studies (Georg-Simmel-Zentrum für Metropolenforschung / GSZ): interdisciplinary platform for collaborative research for metropolitan studies. Its goal is to contribute fundamentally to future urban development, regionally and internationally. Main topics of this interdisciplinary approach are: urban change, the cultural base of and social momentum in cities, sustainable urban development, and internationalisation of urban studies
- IRI THESys - Integrative Research Institute on Transformations of Human-Environment Systems: the institute’s purpose is the interdisciplinary transformation research focusing on land use and use of resources, processes of urbanization in the 21st century, effects of climate change, as well as intra- and inter-generational environmental justice
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. Haerdle’s main research interests are quantitative finance, esp. multivariate methods in banking and finance, dimension reduction techniques, and computational statistics. In his roles both as coordinator of the Collaborative Research Center “Economic Risk” (CRC 649) and director of the interdisciplinary Center for Applied Statistics and Economics (C.A.S.E.) he primarily investigates economic risks on a global scale. Prof. Haerdle’s research aims at facilitating the evaluation of such risks and to reduce uncertainty to improve economic actors’ decision-making.
Prof. Haerdle is Distinguished Visiting Professor Wang Yanan Institute for Studies in Economics (WISE) at Xiamen University, China, as well as director of the International Research Training Group “High Dimensional Non Stationary Time Series” (ITRG 1792). Among other distinctions he received the “Econometric Theory Multa Scripsit Award” in 2012.
- multivariate statistical analysis (factor analysis, cluster Analysis, etc.)
- portfolio optimisation
- risk management
- pricing derivatives
- functional data analysis
- non- and semi-parametric methods
- data visualisation
- Ongoing cooperation with and lecturing for leading international financial institutions
- Center for Applied Statistics and Economics (C.A.S.E.): interdisciplinary research centre with the goal to analyze and solve current complex economic problems and those arising in related fields with the help of quantitative methods and computing. Its research subjects range from weather risk, aging societies, crime to property markets
- Collaborative Research Center “Economic Risk” (CRC 649): center of transdisciplinary research where insights from economics, mathematics and statistics converge to analyze economic risks and risk factors. The CRC offers an international platform for discussion of the latest research results and collaborations