{"id":98,"date":"2021-11-16T07:42:20","date_gmt":"2021-11-16T07:42:20","guid":{"rendered":"http:\/\/muenter.informatik.rwth-aachen.de\/dbis\/?page_id=98"},"modified":"2024-11-19T15:16:58","modified_gmt":"2024-11-19T14:16:58","slug":"thesis-projects","status":"publish","type":"page","link":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/academics\/thesis-projects\/","title":{"rendered":"Thesis Projects"},"content":{"rendered":"\n<h4 class=\"wp-block-heading has-text-align-center has-text-color has-background\" style=\"background-color:#d7ffed\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/academics\/thesis-projects\/information-about-thesis-process\/\">Information<\/a>&nbsp;about Diploma\/Master thesis process<\/h4>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"open-theses\">Open Theses<\/h4>\n\n\n\n<ul class=\"lcp_catlist\" id=\"lcp_instance_0\"><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2026\/comparative-analyses-of-hybrid-llms-with-knowledge-base-integration-and-rags-in-biomedical-domain\/\">Comparative analyses of hybrid LLMs with Knowledge base integration and RAGs in biomedical domain<\/a><\/h4><hr class=\"lcp_excerpt\">\nLarge language models (LLMs) are increasingly used in biomedical applications, including literature mining (PMID: 40188094), drug discovery (PMID: 38730226; 41362614; https:\/\/arxiv.org\/abs\/2510.27130), clinical decision support (PMID: 40753316), and patient data analysis (PMID: 41034564). Hybrid approaches combining LLMs with structured knowledge bases and retrieval-augmented generation (RAG) improve performance and interpretability (PMID: 38830083; https:\/\/www.biorxiv.org\/content\/10.1101\/2025.05.08.652829v2) . However, LLM-based systems ...<\/hr><\/li><\/ul>\n\n\n\n<p><\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"running-theses\">Running Theses<\/h4>\n\n\n\n<ul class=\"lcp_catlist\" id=\"lcp_instance_0\"><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2026\/ontology-based-data-augmentation-with-llms-for-narrative-classification\/\">Ontology-Based Data Augmentation with LLMs for Narrative Classification<\/a><\/h4><hr class=\"lcp_excerpt\">\nNarrative Classification identifies stories via NLP but often lacks generalizability. While LLMs augment other text tasks, their narrative application remains exploratory. This thesis investigates whether an ontology-based LLM-agent framework incorporating specific data characteristics improves synthetic training data quality.\n\n<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2026\/traceability-framework-for-human-llm-assisted-tabular-data-transformations\/\">Traceability Framework for Human\u2013LLM-Assisted Tabular Data Transformations<\/a><\/h4><hr class=\"lcp_excerpt\">\nLarge Language Models (LLMs) are increasingly used to support data wrangling, but their integration into interactive transformation workflows raises new challenges for auditability, reproducibility, and accountability. When users approve, reject, or refine LLM-generated suggestions, conventional data lineage systems often fail to capture why a change occurred, who was responsible for it, and which transformation produced ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2026\/training-a-tiny-llm-with-block-attention-residuals-on-commonsenseqa\/\">Training a Tiny LLM with Block Attention Residuals on CommonsenseQA<\/a><\/h4><hr class=\"lcp_excerpt\">\nKnowledge-augmented multiple-choice question answering (MCQA) aims to improve robustness and factual grounding by integrating external structured knowledge (e.g., knowledge graphs) into language-model-based decision making. Current high-performing systems typically retrieve a local subgraph relevant to a question and candidate answers, then combine pretrained language representations with explicit graph reasoning modules.\n\n\nThis thesis investigates an alternative representation path: ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2026\/masters-thesis-automatic-generation-of-ontological-representations-for-co-simulation-configurations-in-power-engineering\/\">Master&#8217;s Thesis: Automatic Generation of Ontological Representations for Co-Simulation Configurations in Power Engineering<\/a><\/h4><hr class=\"lcp_excerpt\">\nAbstractThis master&#8217;s thesis aims at examining the applicability of automatic ontology generation and ontology-based data integration to the configuration of co-simulation scenarios. To study power systems through simulations, it is conducive to model sub-domains through separate simulators, which are combined through co-simulations to comprise complex simulation scenarios. However, what is gained through focused modelling of ...<\/hr><\/li><li><h4 class=\"lcp_title\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/2026\/ontology-grounded-extraction-of-research-softwarementions-from-scientific-publications\/\">Ontology-Grounded Extraction of Research SoftwareMentions from Scientific Publications<\/a><\/h4><hr class=\"lcp_excerpt\">\nResearch software is among the least discoverable scholarly outputs. While standards like CodeMeta and CFF enable structured software metadata at the repository level, they require active curation by maintainers and see inconsistent adoption. On the publication side, only select publishers such as Schloss Dagstuhl&#8217;s DROPS platform provide citable software artifacts, again contingent on explicit author ...<\/hr><\/li><\/ul>\n\n\n\n<p class=\"has-text-align-right\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/academics\/thesis-projects\/running-theses\/\">View all running theses<\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"completed-theses\">Completed Theses<\/h4>\n\n\n\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><\/ul>\n\n\n\n<p class=\"has-text-align-right\"><a href=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/academics\/thesis-projects\/completed-theses\/\" data-type=\"URL\" data-id=\"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/academics\/thesis-projects\/completed-theses\/\">View all completed theses<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Information&nbsp;about Diploma\/Master thesis process Open Theses Running Theses View all running theses Completed Theses View all completed theses<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":121,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-98","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/98","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/comments?post=98"}],"version-history":[{"count":15,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/98\/revisions"}],"predecessor-version":[{"id":5635,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/98\/revisions\/5635"}],"up":[{"embeddable":true,"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/pages\/121"}],"wp:attachment":[{"href":"https:\/\/dbis.rwth-aachen.de\/dbis\/index.php\/wp-json\/wp\/v2\/media?parent=98"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}