DBIS

We are looking for a highly motivated master’s student to work on an innovative project for their master’s thesis as soon as possible. The project involves investigating existing decentralized oracle networks (DONs) for verifiable credential (VC) verification and evaluating their integration with Self-Sovereign Identity (SSI) infrastructure.

The aim of this thesis is to design, implement, and evaluate a machine learning-based system for detecting chatter in thin-walled workpieces during machining processes. By leveraging MLOps principles, the system will automate the data pipeline from sensor data acquisition to model deployment, ensuring a scalable and efficient workflow. Additionally, the integration of the system within the Blockchain4DataMarketPlace will enable transparent tracking of the detection process and its results, enhancing the overall trust and accountability in manufacturing environments.

Researching the potential for custom query functions for SPARQL with WebAssembly.

Aim of the Thesis:

The aim of this bachelor thesis is to design, implement, and evaluate a blockchain-based escrow mechanism to support secure and transparent payment handling for data challenges in the Blockchain4DataMarketPlace. The proposed system will automate fund management, support dispute resolution processes, and provide transparent documentation of transactions, ensuring fairness and trust between Data Owners and Data Scientists.

The growing adoption of electric vehicles (EVs) is reshaping power grids by introducing cybersecurity challenges that could be exploited to target both the EV and the power grid. This thesis focuses on  vulnerabilities associated with EV charging and the effects of cyberattacks on grid stability and resilience. Of particular interest is the Open Charge Point Protocol (OCPP), and how malicious actors exploit it for their attacks. The work involves developing a simulation framework to replicate interactions between EVs, charging stations and the power grid. Using this simulator, multiple attack types are to be implemented and analyzed to evaluate the effects of them on the charging infrastructure.

Conveying information in a tour traditionally either requires a real human or an audio recording. However, the human guide might not always be available and the quality in the tours varies. With audio recordings, extra care has to be taken to convey to the user which element is currently being talked about since there are no visual clues. With recent advancements in mobile augmented reality (AR), another option becomes viable where mixed reality (MR) agents can point out landmarks, give directions, and provide guidance based on location and surroundings, making the user’s experience immersive and interactive. MR agents are virtual, human-like entities interacting with users within augmented or virtual environments, blending digital content with the real world. Large Language Models (LLMs) can add conversational intelligence to the experience. They understand natural language inputs, answer questions, and provide detailed, personalized information based on user preferences. Together, MR agents and LLMs could create a system where the agent visually guides users through real-world environments. At the same time, the LLM delivers rich, context-specific information, responds to queries, and adapts content dynamically to the user. In the context of a tour guide, this integration enables users to explore cities or other locations with the MR agent directing them and visually pointing out features, while the LLM provides detailed explanations, answers, and personalized insights.

Learning content by heart can be facilitated by the method of Loci. In this mnemonic technique, the learner converts pieces of information into mental imagery. The imagined representations are then anchored in a location. If the learner then traverses a path through this location, the information can be remembered by recalling the mental imagery. However, building a suitable mental environment with a good path and coming up with helpful representations can be challenging for beginners. Hence, the adoption of this memorization method among students is still sparse. To understand the method and practice it, immersive environments in virtual reality can be utilized to construct rooms in which virtual representations can be placed. This visualization can also help during the learning process as placed content is saved on a hard-drive and so, the chosen layout is not lost if the learner still forgets portions of it. The immersive environment can repeatedly be visited to strengthen the memory and to interactively construct the learning content. Apart from this, virtual agents in the form of human avatars can be included in the virtual reality setting. They can lead the learner through the rooms to help with establishing a fixed route through the space. Moreover, they can give further auditory and visual information so that the visual representation of an item can be translated back into the original information.