CAMPUS GRAFENAU

Data is often referred to as the oil of the 21st century. Like oil, data is just a raw material that needs to be cleaned and refined and is worthless without application.

With a team of experiences experts from various fields, the "Business Data Analytics & Optimization" reserach group carries out application-oriented research projects to refine data, extract knowledge and transfer this knowledge to companies, public administration and the general public and make it sustainably useful for them. 

We help you formulate the right questions, identify the relevant data and data sources, integrate them and transform them into information and knowledge with the help of innovative tools.

Our spectrum ranges from the use of classical statistic methods and data mining to machine learning, simulation and optimisation algorithms. Our focus is on the development of user-friendly solutions characterised by intelligents human-machine interaction.

Typical fields of application are demand forecasts, analysis and optimisation of inventories, analysis of machine data, optimisation of machine settings and production parameters, analysis of clickstream data, production planning and value stream analyses.

Your contact for further questions: Dr Michael Scholz

With applied methods of Artificial Intelligence we are able to raise unused data treasures. We develop solutions to derive business-relevant proposals for action from your data, e.g. in personnel planning or demand forecasting. We focus on direct economic benefits and smooth integration into established business processes.

Your contact for further questions: Prof. Dr. Benedikt Elser

The goal of the fourth focus area "Artificial Intelligence for Context and Activity Recognition" is to motivate people in need of care to lead active lifestyles and thus to enable them to lead self-determined lives at home for as long as possible.

To this end, we are developing body-worn and ambient sensor systems whose data we evaluate using artificial intelligence methods. On the one hand, such systems can be used to continuously collect relevant health markers and thus provide forecasts on the state of health of those in need of care. On the other hand, they are designed to detect acute emergencies and ensure that everything is in order. This way, these systems help to make the care system more efficient and relieve the burden on nursing staff.

Your contact person for further inquiries: Prof. Dr. Florian Wahl

For centuries, rural areas have been the centre of people's lives and work. As a result of urbanisation, it is increasingly disappearing from the global public consciousness, the city has asserted itself. Rural regions are often left behind - mobility, medical care and access to education are limited and the quality of life correspondingly diminished.

We feel connected to our region and therefore develop strategies for rural areas: intelligent - innovative - integrative - digitally networked.

The aim is to make the best possible use of the opportunities offered by digitisation to meet the everyday challenges of life in rural areas - holistically, across generations and for all sections of the population.

Our spectrum includes sustainable optimisation measures and digital solutions for practical applications. Our strength lies in the analysis, design and development of digital everyday helpers. Our interdisciplinary team develops tailor-made concepts in close cooperation with the population, local authorities and companies.

Regional sustainability is achieved through the development of joint, long-term research projects. Cost reduction, efficiency increase, service improvement and the formation of regional networks are the tools of the modern and attractive rural area of the future.

Your contact person for further inquiries: