Information & Communication Technology
Mendling's research focuses on the question how business processes can be efficiently and effectively supported by information systems. To this end, Mendling and his team address questions of the information technology as well as of managerial questions.
Within the framework of business process management they developed a series of technical solutions for process mining and also management tools like the BPM Billboard.
The expertise of Mendling and his team is summarized in the seminal textbook "Fundamentals of Business Process Management", which is used by over 250 universities in 70 countries.
- cooperation with businesses from different branches
- design of training concepts for process management
- performance of training courses and projects for process improvement
- development of new analysis software for business processes
In the context of his projects, Mendling worked together with many medium-sized companies and DAX-companies from different branches.
LL.M. Digitalization and Tax Law
The research of Prof. Greifeneder and her team at the Chair of Information Behavior focuses on user research. She is particularly concerned with people’s search and user behavior when dealing with information or metadata both while using a traditional library as well as in fields such as digital libraries or research data. Key aspects of her work include the use of online survey methods and natural habitat research as well as securing the validity of data in a laboratory setting and in natural environments. Additionally, users’ private information sharing behavior and context research are central issues in Prof. Greifeneder’s research.
Prof. Greifeneder and her team employ qualitative and quantitative research methods of information science with a focus on user research. This includes survey design and implementation, both online and in the form of natural habitat research, interviews, case studies, experiments, scientific observation, focus groups and eyetracking. The Chair of Information Behavior boasts a modern research laboratory, the iLab:
- The iLab consists of two functionally differentiated rooms, connected with a door made of spyglass, that contain mobile desks (height can be adjusted electronically), swivel chairs, mobile partition walls, magnetic glass boards and a facilitator’s toolbox
- Technical equipment: beamer, cameras, microphones, mobile sound recorders, tablets, notebooks, smart watches and eye-trackers
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
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.
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.
- 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
- 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
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
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.
- risk assessment methods for workplace conditions
- employee surveys regarding the promotion of health at workplace
- 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
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.
- Local company for automation and robotics: Student semester project for the development of a collaborative fleet management system for autonomous transport robots.
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.
- 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
The chair of Visual Computing develops new methods for the analysis and synthesis of image and video data. This includes algorithms for estimating shape, material, motion and deformation from monocular and multi-view camera systems. Both in national and international collaborations, those algorithms are exploited in applications like multimedia, VR/AR, industry, medicine, and security.
- Various cameras
- Multispectral sensors, 3D sensors
- Lighting and calibration systems
- Development of new methods for automatic inspection and damage classification of sewer networks with a water supply company
- Development of augmented reality systems for automobile production processes with a car manufacturer
- Analysis of multispectral imaging for tissue classification in collaboration with medical technology manufacturer
G.F. Schreinzer Positronik, Steinbeis GmbH & Co. KG, Steinbeis GmbH & Co. KG, Pronova Analysentechnik GmbH & Co. KG, newtec Umwelttechnik GmbH
Biosystems engineering works at the interface between engineering and biological production processes. Prof. Schmidt and his team develop engineering solutions for a sustainable agricultural production of crops and other environmental friendly technologies. Prof. Schmidt’s research thus leads to innovative plant farming methods in greenhouses, outdoors and other intensive crop farming systems. Alternative energy supply systems (low energy greenhouses) and closed material cycles for intensive crop farming (water hygiene, sensor systems and algorithms for fully automated nutrient solution supply in closed cycles) are Prof. Schmidt’s research area. His main activity herein is the development of sensors for gas analyses, climate measurement technology and that of software supporting decision making in automation systems. Moreover, the team also provides energetic assessments in complete production systems and parts thereof as well as process analyses.
- Experimental greenhouses with energy and material flow analytics, CO2 enrichment, artificial lights and fog systems
- Plant monitors for continuous measurement of photosynthesis, transpiration, tissue temperature, stomatal conductance, climate measurement, gas analyses (Co2, ethylene), soil moisture sensors
- Freely programmable automation system for climate and process control in greenhouses
- G.F. Schreinzer Positronik, Steinbeis GmbH & Co. KG: Development of an automation system for greenhouses based on measurement details of plants (Phytocontrol)
- Steinbeis GmbH & Co. KG: National collaborative research project „The Low Energy Greenhouse“ („Zukunftsinitiative Niederigenergiegewächshaus“, ZINEG)
- Pronova Analysentechnik GmbH & Co. KG: Development of ionselective sensors for continuous recording of ion proportion in circulating nutrient solution systems; Development of measuring device to analyse phytometric reactions in plants
- newtec Umwelttechnik GmbH: Development of re-circulating irrigation system with reduced phytosanitary risk in greenhouses
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
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