Logistic Systems & Processes
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
H. Lorberg Baumschulerzeugnisse GmbH & Co. KG, Bein GmbH, Bayer Crop Science, XEROFLOR
Prof. Ulrichs is an expert in the field of ecophysiology of plants with a special focus on plants in urban spaces. His team studies processes, which determine plant growth, e.g. stress exposure in an urban environment. The emphasis of his research lies on the analysis of the secondary metabolite balance (incl. its nutritional function), substance allocation, competition and plant-insect interaction. Prof. Ulrichs other major field of expertise is the quality assurance in food supply chains of horticultural products, especially for perishable foodstuffs like fruits and vegetables in temperate zones as well as in tropical/subtropical regions.
- molecular methods
- in-vitro propagation
- electroantennogram studies
- trace gas analysis using photoacoustic spectroscopy
- German specialty chemicals group: development of nanostructured plant protection agents
- H. Lorberg Baumschulerzeugnisse GmbH & Co. KG (tree nursery): selection of climate-tolerant boulevard trees (Alleebaum)
- Bein GmbH: development of electrostatic application processes of nanostructured elements
- Bayer Crop Science: biosensors to prove the existence of plant viruses
- XEROFLOR: development of vegetation carriers to prevent soil erosion in the Alps
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.
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.