Research in the field of computer science is diverse and interdisciplinary. For this reason, several groups at the University of Applied Sciences Wiener Neustadt and at FOTEC are conducting research on various topics. We deal with the following in different fields of application (medicine, sport, tourism or the industrial or agriculture sector):
Research and development projects are currently developing solutions on mixed reality (augmented and virtual reality/AR and VR), Internet of things (IoT) and Industry 4.0.
Mixed reality offers the possibility of mixing the user’s real environment with a virtual one. Real processes can be simulated and visualized in real time on different end devices.
For several years now, the Internet of things has allowed us to link physical and virtual objects with each other. We also make use of this combination in developing Industry 4.0 solutions to enable data exchange between production plants, among other things. Another focal point in the area of IoT is collecting and transferring data volumes to decentralised storage systems (cloud or on-premises).
We develop desktop, web or mobile applications for different end devices, adapted to the needs of the target group. In line with demand, we are able to serve different technology stacks.
We cooperate in interdisciplinary teams in national and international projects with other universities, research institutions and companies.
Establishing a sustainable energy and economic system and dealing with the opportunities and risks of digitization are among the greatest challenges facing our society. BSAIO aims to put these two aspects in relation to each other. The methods from the fields of Big Data, Machine Learning and Artificial Intelligence, which are based on digitization, as well as increasingly powerful optimization algorithms, offer the possibility of operating systems in a more sustainable way and saving resources both in their planning and operation. To this end, all necessary knowledge is to be imparted and the methods are to be applied directly to practical tasks. At the same time, the targeted use of methods based on digitisation for responsible and sustainable use of resources should help to create best practice examples in this area.
The FTI lead project funded by the province of Lower Austria aims to develop mobile, situationally embedded data visualisation methods to integrate the physical environment and abstract data representation. This is intended to realize basic technologies for the vision of a sensor-based data economy in Lower Austria, leading to Smart Rural Areas, a networked future of rural areas.
The aim of this INTERREG AT-HU project is to strengthen regional entrepreneurship, the performance of start-ups and the innovation capacity of SMEs with a focus on the development of (internationally) competitive products in the field of digitisation.
As part of the project funded by the Internet Privatstiftung Austria (IPA), software libraries for developers are created, which can be used to develop secure systems. Users benefit from applications based on SIKOSI because they can rely on those applications with regard to data security.
‘CARU cares’ combines one of the most successful AAL services of the past - the emergency call - with new functions to support care workers in documenting their care activities. The result is a new, attractive and non-stigmatising way for elderly people in assisted living environments to make an emergency call to increase their sense of security and quality of life. The tasks of the FH Wiener Neustadt in the project are support within the framework of the co-creation and requirements process, conception and implementation of a component for location and context analysis as well as participation in the evaluation of the system. CARU will be tested and evaluated in Austria, Switzerland and Belgium. (Funding authority: FFG and Active Assisted Living Programme)
The aim of this FFG-funded project is to implement a modular robot construction kit system that can be used by experts during programming and by non-specially trained personnel during operation. In order to demonstrate the universal applicability, the project results will be demonstrated in several very different application-oriented scenarios.
Existing machine learning concepts will be evaluated and tested for their applicability within the framework of the project funded by Lower Austria. Promising algorithms will be implemented prototypically and models for the evaluation of the status of the plant equipment will be created.
In the frame of this project funded by the Province of Lower Austria, a sensor network is being set up for roller mills to record the current condition of the plant. Based on forecasts, the plant operator can derive predictive maintenance measures for cost-optimized and efficient maintenance.
In the project "Mixed Reality Based Collaboration for Industry (MRBC4I)" funded by the FFG, use cases on the topic of mixed reality are implemented on AR or VR glasses. FOTEC focuses on use-cases in the field of "support in production".
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