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Research Projects (184)

Green hydrogen from brewing biomass

In 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 Meilinger
INTERFACES - Supporting Pathways to Sustainable Land Management in Africa

Land 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 Terlau
PräventinS

The 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 Kaul
OptoSpin

Sensors 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 Kaul
SYNergie

SYNergie 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 Kaul
MedISA

Medical Centre Employee Centered Information Security Awareness

Project management at the H-BRS

Prof. Dr Luigi Lo Iacono
Biolab - Evaluation of biometric verification systems

The 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 Lange
Development of an Autonomous CameraViewpoint Management System in a Multi-CameraTraining Scenario

Online 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. 

Augmenting Geometry in Implicit Neural Scene Representations

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.

Affordance-based reasoning for robotics

Humans are able to come up with plans to achieve their goals, and to adapt them to changes in their environment, finding fixes, alternatives and taking advantages of opportunities without much deliberation.  Despite decades of research, artificial agents, such as robots, are not as robust or as flexible.  If we look at how we manage to get things done despite the ever-changing environments and our own lack of omniscience we find that this is most often accomplished by making substitutions for missing or unavailable objects and making assumptions about objects for which we have limited information. Enabling service robots, operating in domestic environments to use these two techniques to support human users is the aim of the work of doctoral student Iman Awaad.

Contact Points

Centre for Science and Technology Transfer (ZWT)

Room

F 405

Address

Grantham-Allee 20

53757, Sankt Augustin

Telephone

+49 2241 865 745

Vice President Research and Young Academics

Campus

Sankt Augustin

Address

Grantham-Allee 20

53757, Sankt Augustin

Telephone

+49 2241 865 602