Data-Driven & Smart Technologies - Areas of expertise

Bochum University of Applied Sciences pursues a research-led profile in the field of data-driven systems and intelligent modelling. The focus is on methods for integrating, analysing and interpreting complex, often heterogeneous data – including, in particular, spatio-temporal structures, behavioural data and domain-specific sensor data. Machine learning, data mining, statistical modelling and adaptive algorithms are used for decision support and forecasting.

There is a particular focus on methods that are explainable, resource-efficient and trustworthy. Projects address this requirement through model-based transparency (explainable AI), energy-optimised model architectures (green AI) or reliable, transparent and accountable methods (trustworthy AI). Spatial data plays a central role in this – both in the development of scalable analysis methods and in the creation of intelligent data rooms.

The research is interdisciplinary in nature, combining data science approaches with issues from engineering, education, economics and health sciences. Research takes place in networked, federated data environments that embrace openness, fairness and data sovereignty as principles that can be shaped.

Digitalisation is fundamentally changing the healthcare system. On the one hand, new technologies are emerging in the field of healthcare. Electronic patient records, for example, enable collaborative, cross-sector treatment, while telemedicine provides location-independent access to medical expertise. Digital health applications can support close monitoring, prevention and the strengthening of (digital) health literacy. On the other hand, the possibilities for utilising data for health research are constantly expanding. Expert use of data holds significant potential for improving healthcare, for example through big data analysis or the provision of decision-making bases.

Digitalisation in healthcare can thus contribute to an increase in the quality, effectiveness and efficiency of healthcare. This requires competent and reflective use. In this area, Bochum University of Applied Sciences is developing innovative solutions and approaches for the ethically responsible use of digital technologies and applications. When developing new technologies, it is important to take into account the needs of different population groups, to ensure equal participation in digital offerings and processes, and to design the possible uses and educational offerings of data-based analytics in a way that is sensitive to diversity.

Smart City at Bochum University of Applied Sciences sees itself as an interdisciplinary approach that focuses on the intelligence of urban spaces, innovative technologies and the networking of infrastructures, mobility and energy in order to promote efficiency, quality of life, resource conservation and social participation.

The emphasis is on developing practical, integrated city and neighbourhood concepts that combine digitalisation, mobility, energy supply, building management and participatory processes. Key areas in this field include research into intelligent traffic and mobility management, electromobility, on-grid and off-grid energy systems, geothermal energy, smart energy and building management, resilient urban development and the testing of innovative business models.

Digital methods such as building information modelling (BIM), sensor technology, platform technologies, simulation and modelling enable the flexible implementation of innovative technologies and services. This creates an interdisciplinary framework in which engineering, computer science, architecture, social sciences and economics work together to develop scientifically sound smart city concepts, implement them in a practical manner and ensure their transfer to society, business and politics – both nationally and internationally.

With its BO Smart Factory, Bochum University of Applied Sciences is sending a strong signal for practical research and teaching in the age of digital production in the field of smart production. As a cross-departmental, interdisciplinary institute, it combines expertise from mechanical engineering, computer science, electrical engineering and economics to holistically shape the digitalisation of industrial processes.

What makes it special is its consistent focus on real-world applications. Here, production processes are not only simulated, but also specifically recorded, analysed and optimised. Topics such as predictive maintenance, digital value streams and human-machine interaction are at the centre of attention. Students, researchers and companies work together on solutions that can be directly transferred into practice. Particularly noteworthy is the close cooperation with small and medium-sized enterprises (SMEs) within the framework of the ‘Smart Factory 4.0’ transfer project.

The university supports companies in their digital transformation and works with them to develop strategies for sustainable, networked production. This involves not only technology, but also preparing employees for change. The BO Smart Factory is thus a place of innovation and a space for social responsibility and future education in the heart of the Ruhr region.