The UAS is actively searching for interesting projects for potential students. The close collaboration with the university’s project partners allows the students to participate in research projects. In addition, the students have the opportunity to actively propose an existing or planned research project of a company in the course of the application process.
The close collaboration with the research partners and the continuous coordination between the mentors and students make for an ideal supervisory relationship. For orientation purposes, we would like to present a selection of possible research projects:
Software Security
System security refers to the protection of a system against unauthorised access and alterations as well as from any damage. In automated systems, security includes the protection of the entire computer system including data, software and hardware. When working in the area of software security, your tasks include ensuring protection of network and application security against attackers, supporting our experts in penetration testing, analysing vulnerabilities and evaluating the latest technologies.
Examples of Projects
- Quantitative models predicting the strength of protection against different strategies of analysis
- Dynamic analysis of binaries in regards to software obfuscation
- Use of obfuscation for protection of knowledge
- New techniques for detecting and warding off targeted attacks on IT systems
- Innovative methods to detect vulnerabilities and analyse malware
- Trusted computing environments
Privacy & Cryptography
Privacy Enhancing Techniques (PETs), Blockchain, Cryptocurrency, Privacy Aware Machine Learning (PAML) and Smart Contracts are only a few of the topics covered in the framework of these projects. Take part in researching and developing concepts to ensure trustworthy and future-proof information and communication technologies.
Examples of Projects
- Quantum cryptography methods to generate and distribute cryptographic keys
- Cryptographic key exchange with radio characteristics
- Distributed machine learning while respecting privacy
- Effect of anonymisation procedures on real data analyses (real use cases, real data), Privacy by Design in real environments
Internet of Things
Digitalisation and the Internet of Things (IoT) have a great impact on our private and professional lives. In this area, the research focuses on the development of technologies which can be used to optimise processes, products and systems.
Examples of Projects
- Research of methods used for the evaluation of large amounts of data
- Usable security for IoT
- Development of guidelines, methods and tools for secure IoT-based applications in the areas of automated driving and Industry 4.0
Industry 4.0
Industry 4.0 is the introduction of cyber-physical systems and the interconnectedness of machines and processes in the industry using Internet technologies. Virtualisation and the Internet of Things are further basic principles of Industry 4.0. One task of this subject area is the planning of digital product memories which cover the entire product life cycle.
Examples of Projects
- Use of Artificial Intelligence (AI) methods to improve production planning for Industry 4.0
- Introduction of a secure development cycle for cyber-physical production systems
Industrial Security
Industrial Security deals with the cyber security of industrial plants. The increase of networking and automation leads to a growing number of new potential points of attack. This is as true for the area of general cargo production as it is for liquid bulk cargo production. One essential aspect is the continuous monitoring of operations for the timely detection of network traffic anomalies. Machine learning methods play a crucial role in this process.
Examples of Projects
- Detection and defence against cyber attacks on digitalised distribution networks of the power supply
- Safety of transformer stations
- Security of cyber-physical systems
Machine Learning & Artificial Intelligence
Machine learning and Artificial Intelligence aim at discovering useful information from large amounts of complex data using automated data processing methods.
Examples of Projects
- Analysis and evaluation of long-term EEGs of patients suffering from epilepsy
- Establishing advanced analysis methods for modelling, classification and similarity retrieval of gait patterns to enable novel data-driven ways to access 3D gait databases
- Development of innovative intelligent systems for diagnostics and the evaluation of therapeutic processes based on 3D motion tracking data
- Development of an automatic image tagging method using neural networks
Information Visualisation & Visual Analytics
In many contexts, we are confronted with growing amounts of data that are increasingly harder to make sense of. To address this challenge, Information Visualisation is concerned with turning numbers into visual representations to make complex information structures more comprehensible for humans, to facilitate new insights, and to enable knowledge discovery.
Visual Analytics addresses this challenge by combining the outstanding visual perception and reasoning capabilities of humans with the strengths of the automated data analysis of computers.
Examples of Projects
- Support of the investigation of complex and heterogeneous data sources in Data-Driven Journalism (DDJ)
- Visual Analysis of large and heterogeneous scientific workflows for analytical provenance
- Knowledge-Assisted Visual Analytics methods for time-oriented data
- Improving situation awareness of air traffic control using interactive visual interfaces
Computer Vision
Research in computer vision is focused on obtaining information from image and video data, and automating people’s visual capabilities. Mainly automated data analysis methods from machine learning, artificial intelligence, data science, and statistics are applied to process data.
Examples of Projects
- Development of methods for estimating real estate property value using computer vision of satellite data
- Fully automatic analysis of satellite imagery to extract a pixel-accurate segmentation of building roofs
- Automated image analysis of building photos to detect year of construction and architectural style
Operations Research
Decisions are part of our everyday life, however, managers often worry over difficult business decisions. Operations research is a discipline which applies advanced analytical methods, such as simulation, exact optimization algorithms, metaheuristic and hybrid methods, to help people and organisations in the decision-making process.
Examples of Projects
- Developing and testing new mathematical models to deal with uncertainty in project management
- Building simulation models to improve production planning and supply chain management
- Visualisation of systematic order behaviours in supply chains and improvement of the current forecast process
Our project partners
Research in the Department of Computer Science & Security
The St. Pölten UAS attaches high priority to its research in the field of IT and digitalisation. In the areas of Cyber Security & IT Security and Data Analytics & Visual Computing in particular, the UAS enjoys an excellent reputation both in Austria and abroad.
To the Research Facilities
