Products and Production

In the field of materials science, different materials and their composites are investigated and developed. One area of research that is particularly interesting for the building sector is the investigation of the modification of wood and wood-based materials as well as their combination with organic or inorganic substances. In this way, properties of the starting material or the composite can be specifically changed and controlled in order to achieve a material composition that is optimised for the respective application.

For the development and characterisation of the materials from laboratory to real scale, a comprehensive research and development infrastructure is available at the Rosenheim Technical University of Applied Sciences to meet existing and future requirements of materials engineering and materials science for development, characterisation and testing.

Bachelor’s degree Process automation technology

Mechatronic systems in industrial automation are the focus of this research area. In particular, applications on machine tools, robots and production equipment in the semiconductor industry are examined. A large part of the research topics deals with the high-precision and highly dynamic conversion of the desired movement of the machine axes into the actual movement at the location of the manufacturing or measuring process.

Interdisciplinary collaboration

To ensure a profound understanding of all components of the systems under consideration, professors, research assistants and students from the fields of electrical engineering, mechanical engineering, mechatronics and computer science collaborate. On the one hand, this enables targeted individual optimisation of components. On the other hand, this is a prerequisite for successful overall further development.

Practical verification

Our research is always accompanied by experiments. Application-oriented dimensioning of the test facilities ensures practice-relevant results. The research laboratory has a large number of professional measuring devices at its disposal (laboratory equipment). This makes it possible to gain detailed knowledge of the interrelationships in the systems, which would be impossible without high-quality technical equipment. Only products from world-leading suppliers are used as software tools. This supports time-efficient processing of the research content.

Global warming is an incontrovertible scientific fact. According to the calculation of the German Weather Service, the annual mean temperature in Germany rose by 1.4 °C in the period from 1881 to 2017. In Bavaria, it was even 1.6 °C. The dramatic environmental effects can now be seen on an almost daily basis. The time left to keep global warming as low as possible is extremely limited.

In the research competence area of energy technology and energy efficiency, priority is given to topics relating to the sustainable provision, transport and storage of energy for both residential and non-residential buildings as well as for mobile applications. Together with other aspects of building physics, the focus is on energy-efficient buildings and their technical building equipment.

Modern laboratory facilities and test benches are available for research at the Rosenheimer Technologiezentrum Energie und Gebäude. An associated Bachelor's degree programme trains young people who are enthusiastic about technology and ready to take their future into their own hands in order to contribute to the conversion to a sustainable energy supply. Your contact for this field of research expertise and the Energy and Building Technology degree programme is Prof. Dr. Frank Buttinger.

Digital transformation is changing society and the economy at breathtaking speed. In addition to the digitalisation of existing products and processes, entirely new business models are emerging that are increasingly becoming a critical competitive factor for industrial locations. Due to this development, Rosenheim Technical University of Applied Sciences has an important mandate for teaching and research,  whereby the following key technologies are of great importance:

• Artificial intelligence: computer systems that can perform tasks that normally require human intelligence, e.g. visual perception, speech recognition, decision-making and translation between languages.
  • Our AI research labs: proto_lab,  Data Science und Datenbanken,  Machine Learning und Computer Vision
• Internet of things: The Internet of Things (IoT) encompasses a variety of different methods in which sensors and actuators are used to obtain information about the state of everyday objects such as vehicles, tools and even us humans, for example.
  • Our research labs in the fied of IoT: proto_lab,  Internet of Things and Cloud Computing, Digitale Signalverarbeitung und Nachrichtenübertragung
• Robotics: Robotics aims to create intelligent machines that can interact with their environment to assist humans in a variety of ways, e.g. in production, research or everyday life.
  • Our robotics research labs: proto_lab,  Montageautomatisierung und Robotik
• Cloud: Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without the users having to manage the resources themselves. In addition to the many benefits for users, cloud computing can lead to a significant reduction in IT operating costs through a "pay-as-you-go" model.
  • Our research labs in the area of cloud: proto_lab,  Internet of Things and Cloud Computing
• Industry 4.0: The term Industry 4.0 describes a revolution in the way companies manufacture, improve and distribute their products. In the process, producers are integrating new technologies such as the Internet of Things (IoT), cloud computing and analytics, as well as AI and machine learning, into their production facilities and throughout their operations.
  • Our research labs in the area of Industry 4.0: proto_lab, Additive Fertigung
• Digital ethics: In addition to numerous positive aspects, digitalisation also entails considerable risks for people and society. In this context, digital ethics deals with the norms and morals in the creation, organisation, dissemination and use of information.

Within the planning region of South-East Upper Bavaria and the neighbouring districts with approx. 805,000 inhabitants, health care plays a very significant role. In the region there are about 40 acute hospitals, about 40 preventive care and rehabilitation facilities, 130 outpatient care services and 150 facilities for inpatient care for the elderly. New competence requirements are arising for the personnel employed in the health sector as well as for the further development of the educational offers and research fields of Rosenheim Technical University of Applied Sciences.

The Faculty of Applied Health and Social Sciences deals with the field of health from different perspectives. The focus is on the promotion, maintenance and recovery of health and well-being in a changing society.

In particular, the perspective of different professions in the health sector, for example nursing, physiotherapy and also health care management, as well as their interdisciplinary interaction, characterise the field of health at TH Rosenheim. This is visible in our degree programmes and research projects.

Applied mathematics and statistics are fundamental tools that are used in the most diverse areas of scientific work and everyday business. For example, numerical and simulation methods form the basis of scientific computing, statistical and machine learning are an essential part of the subject complex of artificial intelligence, and mathematically-methodologically based, statistical data analysis is the key to sound research results.

The mathematics/statistics competence of TH Rosenheim is centrally organised in the Faculty of Applied Sciences and Humanities. Mathematicians with different areas of specialisation and research focus are located in the faculty and participate in research and transfer projects in many fields, such as building technology, simulation models in engineering, building physics, statistical/machine learning or risk modelling in insurance and finance.

In the Bachelor's programme Business Mathematics – Actuarial Sciences, students are trained specifically for the mathematical requirements and tasks in the insurance environment in close cooperation with the German Actuarial Association (DAV) and leading companies from the insurance and reinsurance industry. Central contents include statistical (risk) modelling, data science and actuarial science. Together with companies we cover current issues through theses and other cooperations.

In the field of applied mathematics and statistics, the modification, adaptation and computer-based implementation of mathematical and statistical methods for data-based modelling, simulation and stochastic modelling of real processes are dealt with.

Interested parties can find a current paper and an overview of current publications here. Your contact person for the area of business mathematics-actuarial sciences is Prof. Dr. Ulrich Wellisch.