{"id":1803,"date":"2022-01-29T13:39:19","date_gmt":"2022-01-29T12:39:19","guid":{"rendered":"https:\/\/dbis.rwth-aachen.de\/dbis\/?page_id=1803"},"modified":"2022-01-29T13:39:19","modified_gmt":"2022-01-29T12:39:19","slug":"completed-theses","status":"publish","type":"page","link":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/academics\/thesis-projects\/completed-theses\/","title":{"rendered":"Completed Theses"},"content":{"rendered":"\n<ul class=\"lcp_catlist\" id=\"lcp_instance_0\"><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/federated-machine-learning-architecture-for-an-mdf-production-industry-use-case\/\">Federated Machine Learning Architecture for an MDF Production Industry Use Case<\/a><\/h4><hr class=\"lcp_excerpt\">Federated Machine Learning Architecture for an MDF Production Industry Use Case<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/data-driven-quality-assurance-in-grinding-manufacturing-technology-2\/\">Data-driven quality assurance in grinding manufacturing technology<\/a><\/h4><hr class=\"lcp_excerpt\">Data-driven quality assurance in grinding manufacturing technology<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/a-privacy-preserving-machine-learning-approach-for-dga-detection\/\">A Privacy-Preserving Machine Learning Approach for DGA Detection<\/a><\/h4><hr class=\"lcp_excerpt\">\n\n\n\n\n\n\n\n\n\n\n\n<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/mixed-reality-agents-as-technical-support\/\">LLM-Powered\u00a0Virtual Reality\u00a0Agents as Technical Support<\/a><\/h4><hr class=\"lcp_excerpt\">\nTechnical support is an essential aspect of various industries, e.g., to provide help with maintaining machinery and IT systems. However, diagnosing error messages and faults in complex technologies can be a time-consuming and challenging task. The maintainer has to search through the long documentation booklets for the technology in order to find a solution or ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/enhancing-mixed-reality-instructional-agents-with-large-language-models\/\">Enhancing Mixed Reality Instructional Agents with Large Language Models<\/a><\/h4><hr class=\"lcp_excerpt\">\nThe innovative integration of Mixed Reality and Large Language Models can lead to highly interactive instructional MR agents. Utilized as automated instructors, these MR agents have the potential to significantly enhance traditional instruction manuals by providing visual guidance. For instance, they can illustrate the next required actions in practical tasks such as tightening screws in ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/aligning-regulatory-requirements-with-industry-standards-creating-transferable-compliance-guidelines\/\">Aligning Regulatory Requirements with Industry Standards: Creating Transferable Compliance Guidelines<\/a><\/h4><hr class=\"lcp_excerpt\">\n\n\n\n\n\n\n\n\n\n\n\n<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/enhancing-fake-news-detection-using-multi-agent-llm-frameworks\/\">Enhancing Fake News Detection using Multi-Agent LLM Frameworks<\/a><\/h4><hr class=\"lcp_excerpt\">\nThe proliferation of misinformation and fake news on social media platforms poses a significant challenge in today&#8217;s digital age. Traditional automated fake news detection systems often struggle with the complexity of the task, lacking the ability to provide detailed explanations and interpret nuanced contextual information.\n\n\nThis thesis explores the enhancement of fake news detection using Multi-Agent ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/ogreta-ontologie-entwurf-fur-das-greta-kompetenzmodell\/\">OGRETA: Ontologie-Entwurf f\u00fcr das GRETA-Kompetenzmodell<\/a><\/h4><hr class=\"lcp_excerpt\">\nDas Ziel dieser Bachelorarbeit &#8220;OGRETA &#8211; Ontologie-gest\u00fctzter Rahmen f\u00fcr das Entwicklungstracking von Arbeitskompetenzen&#8221; ist die \u00dcberf\u00fchrung des GRETA-Kompetenzmodells in eine Ontologie, die als Grundlage f\u00fcr ein Empfehlungssystem dienen kann. Das GRETA-Modell definiert die beruflichen Kompetenzen von Lehrkr\u00e4ften in der Erwachsenenbildung unabh\u00e4ngig von Fachgebiet, Erfahrung oder Besch\u00e4ftigungsart. Durch die Strukturierung dieses Modells als Ontologie soll die ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/steadyml-stability-evaluation-and-detection-for-accurate-dynamics-using-ml\/\">StEADyML: Stability Evaluation and Detection for Accurate Dynamics using ML<\/a><\/h4><hr class=\"lcp_excerpt\">\nThe 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 ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/portable-and-fair-query-functions-with-webassembly-and-sparql\/\">Portable and FAIR query functions with WebAssembly and SPARQL.<\/a><\/h4><hr class=\"lcp_excerpt\">\nResearching the potential for custom query functions for SPARQL with WebAssembly.\n\n\n\n<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2025\/beam-blockchain-escrow-for-automated-marketplaces\/\">BEAM: Blockchain Escrow for Automated Marketplaces<\/a><\/h4><hr class=\"lcp_excerpt\">\nThe 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 ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/development-of-a-hybrid-intrusion-detection-system-for-ev-charging-stations\/\">Development of a hybrid Intrusion Detection System for EV Charging Stations<\/a><\/h4><hr class=\"lcp_excerpt\">Development of a hybrid Intrusion Detection System for EV Charging Stations<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/large-language-model-driven-mixed-reality-tour-guides\/\">Large Language Model-Driven Mixed Reality Tour Guides<\/a><\/h4><hr class=\"lcp_excerpt\">\nConveying 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 ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/assisting-memory-and-motivation-mixed-reality-agents-and-virtual-memory-palaces-as-tools-for-mastering-the-method-of-loci\/\">Assisting Memory and Motivation: Mixed Reality Agents and Virtual Memory Palaces as Tools for Mastering the Method of Loci<\/a><\/h4><hr class=\"lcp_excerpt\">\nLearning 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, ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/immersive-vocabulary-learning-with-large-language-models\/\">Immersive Vocabulary Learning with Large Language Models<\/a><\/h4><hr class=\"lcp_excerpt\">\nThe emergence of large language models (LLMs), along with recent advances in mixed reality (MR) and virtual reality (VR), enable new opportunities for applying virtual agents in education. These simulated humans can imitate real-life situations and interactions with native speakers, which leads to an immersive and engaging learning experience. Especially in VR, interactions can be ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/dynamic-co-speech-gesture-generation-for-tutoring-agents\/\">Dynamic Co-Speech Gesture Generation for Tutoring Agents<\/a><\/h4><hr class=\"lcp_excerpt\">\nLarge Language Models (LLM) can be applied to transform a natural language (NL)-based text input query into a NL-based text answer. A common use case are personal assistants, e.g., for learning activities. In such teaching contexts they can process knowledge recorded in plain text documents, create summarizations, or teach knowledge according to a curriculum. However, ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/leveraging-llms-for-mathematical-optimization-on-the-example-of-supply-chains\/\">Leveraging LLMs for Mathematical Optimization on the Example of Supply Chains<\/a><\/h4><hr class=\"lcp_excerpt\">Leveraging LLMs for Mathematical Optimization on the Example of Supply Chains<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/bridging-skill-gaps-using-smart-skill-assessment-tool\/\">Bridging Skill Gaps using Smart Skill Assessment Tool<\/a><\/h4><hr class=\"lcp_excerpt\">\nAn AI-based skill assessment tool\n\n<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/an-ontology-guided-graphrag-approach-for-gdpr-documents\/\">An Ontology-Guided GraphRAG Approach for GDPR Documents<\/a><\/h4><hr class=\"lcp_excerpt\">An Ontology-Guided GraphRAG Approach for GDPR Documents<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/on-the-evaluation-of-retrieval-augmented-generation-based-cypher-queries\/\">On the Evaluation of Retrieval Augmented Generation-based Cypher Queries<\/a><\/h4><hr class=\"lcp_excerpt\">On the Evaluation of Retrieval Augmented Generation-based Cypher Queries<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/virtual-graph-based-data-access-in-heterogeneous-distributed-analytics-environments\/\">Virtual Graph-based Data Access in Heterogeneous Distributed-Analytics Environments<\/a><\/h4><hr class=\"lcp_excerpt\">\nThe goal of this thesis is to evaluate the applicability of Virtual Graphs in a Distributed Analytics environment.\n\n<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/guided-knowledge-presentations-with-mixed-reality-agents\/\">Guided Knowledge Presentations with Mixed Reality Agents<\/a><\/h4><hr class=\"lcp_excerpt\">\nMixed reality agents are simulated humans who are displayed in a mixed reality environment, e.g., in augmented reality or virtual reality. They provide the opportunity to support teaching activities with automation. Possible use cases include general presentations in one place, e.g., of lecture content and station-based routes as seen in museums or with tourist guides. ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/utilizing-rag-based-llm-approaches-to-advance-automated-cybersecurity-incident-response-playbook-generation\/\">LLM-Assisted Cybersecurity Playbook Generation Based on Existing Playbooks and Retrieval-Augmented Techniques<\/a><\/h4><hr class=\"lcp_excerpt\">\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/llm-based-tool-for-integrating-ontologies-and-knowledge-graphs-into-researchers-rdm-processes\/\">LLM-based Tool for Integrating Ontologies and Knowledge Graphs Into Researchers&#8217; RDM Processes<\/a><\/h4><hr class=\"lcp_excerpt\">LLM-based Tool for Integrating Ontologies and Knowledge Graphs Into Researchers' RDM Processes<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2024\/enhancing-spam-email-detection-via-sentiment-modification-using-llms\/\">Enhancing Spam Email Detection via Sentiment-Modification using LLMs<\/a><\/h4><hr class=\"lcp_excerpt\">\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<\/hr><\/li><\/ul><ul class='lcp_paginator'><li class='lcp_currentpage'>1<\/li><li><a href='https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803?lcp_page0=2#lcp_instance_0' title='2'>2<\/a><\/li><li><a href='https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803?lcp_page0=3#lcp_instance_0' title='3'>3<\/a><\/li><li><a href='https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803?lcp_page0=4#lcp_instance_0' title='4'>4<\/a><\/li><li><a href='https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803?lcp_page0=5#lcp_instance_0' title='5'>5<\/a><\/li><li><a href='https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803?lcp_page0=6#lcp_instance_0' title='6'>6<\/a><\/li><li><a href='https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803?lcp_page0=7#lcp_instance_0' title='7'>7<\/a><\/li><li><a href='https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803?lcp_page0=2#lcp_instance_0' title='2' class='lcp_nextlink'>&gt;&gt;<\/a><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":8,"featured_media":0,"parent":98,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-1803","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/comments?post=1803"}],"version-history":[{"count":1,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803\/revisions"}],"predecessor-version":[{"id":1804,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/1803\/revisions\/1804"}],"up":[{"embeddable":true,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/98"}],"wp:attachment":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/media?parent=1803"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}