Research at the university
Research Database: Projects
Research Projects (185)
Artificial intelligence methods can efficiently help us understand aftermath requirements, constraints, and decision-making processes at an early stage. Algorithms are typically used in late stages of engineering development projects. We want to reverse this and show engineers early on which types of solutions meet their requirements.
Project management at the H-BRS
Dr Alexander HaggIn this project, the Bonn-Rhein-Sieg University of Applied Sciences will analyse the availability of brewer's grains and the sustainability of procurement and processing. The design of a suitable electrochemical electrolysis cell will be carried out at Robert Gordon University.
Project management at the H-BRS
Prof. Dr Tanja Clees Prof. Dr Stefanie MeilingerLand management and the securing, use, control and governance of land-related natural resources is one of the key drivers for sustainable development in Africa. Sustainable land management should contribute to food security, adaptation of agriculture and forestry to climate change, nature and environmental protection, and be organized in a way that contributes to social justice. From October 2022, the German Federal Ministry of Education and Research (BMBF), together with INTERFACES, is supporting four regional research and development (R&D) projects that will contribute to this aim.
Project management at the H-BRS
Prof. Dr Wiltrud TerlauThe aim of the project PräventinS is the development of a prevention strategy to curb the spread of invasive pests, introduced through container freight, in Germany and the EU. This is initially done using the example of the detection of the Asian long-horned beetle (Anoplophora glabripennis, ALB for short), which usually spreads via imported pallet wood.
Project management at the H-BRS
Prof. Dr Peter-Michael KaulSensors ensure our safety in fire and gas detectors, for example, and inform us about invisible chemical (hazardous) substances, whereby reliability and selectivity are the most important requirements. The aim is to develop new types of sensors with increased selectivity. They consist of liquid crystals which, by adding optically active substances, adopt a special structure that reflects only a narrow wavelength range of the incident light, making the liquid crystal appear coloured. A chemical reaction with an analyte changes the reflected wavelength range and leads to visible colour changes.
Project management at the H-BRS
Prof. Dr Peter-Michael KaulSYNergie is a joint project with the Julius Kühn Institute (JKI) and the Osnabrück University of Applied Sciences and is funded by the German Federal Ministry of Food and Agriculture (BMEL). The aim of the project is the detection and inactivation of the potato fungus Synchytrium endobioticum (SE). This fungus uses potato plants as a host plant and triggers the so-called potato wart disease. Due to the formation of very resistant permanent sori (encapsulated spores) in the soil, which last up to 46 years, Synchytrium endobioticum has been classified as a quarantine pathogen.
Project management at the H-BRS
Prof. Dr Peter-Michael KaulMedical Centre Employee Centered Information Security Awareness
Project management at the H-BRS
Prof. Dr Luigi Lo IaconoThe Biolab project is dedicated to the continuous and comprehensive evaluation of biometric systems. The project investigates the performance, security and usability aspects of biometric systems. The results lead to training courses and workshops for authorities, police forces, manufacturers and end users. The Biometrics Evaluation Center (BEZ) at the Sankt Augustin campus is the place of implementation.
Project management at the H-BRS
Prof. Dr Norbert Jung Prof. Dr Robert LangeOnline remote training for assembly, operation and maintenance is advantageous in the industry to save time and money, especially when corporations have locations on several continents (e.g. automotive industry, oil companies, etc.) Currently, remote training experience is limited due to limited camera perspectives and the lack of suitable navigation techniques for the camera view depending on the task. In this PhD project, PhD student Saugata Biswas develops an autonomous camera viewpoint management system using a robotic arm in a multi-camera training scenario. This PhD thesis will focus on improving the online training experience of remote trainees.
Computer-generated images are ubiquitous in our modern visual world. Manufacturing, entertainment, education and many other industries require real or fictional virtual 3D models to represent a variety of different scenarios. Modern computer graphics produce high quality visual and even photorealistic content. However, this quality has two major drawbacks: First, the calculation of many visual effects based on traditional methods is inefficient and involves long calculation times. Secondly, as image quality increases, so does the demand for extremely fine geometry to represent the desired scene. As a result, manual post-processing, which is time-consuming and tedious, is required. Whether individual objects or entire scenes, every little detail is positioned by hand, including geometry, light sources or object materials. Doctoral student Daniel Bachmannn is taking a depth-generative approach with neuronal networks, in particular neural rendering. Here, features such as the shape or colour of virtual objects or scenes are encoded as learned weights that are stored by neural networks. This internal representation is called a neural scene representation (NSR) - a non-discretising, implicit form of storing scene data.
Contact Points
Centre for Science and Technology Transfer (ZWT)
Room
F 405
Vice President Research and Young Academics
Campus
Sankt Augustin