DBIS

• Knowledge Graph Lab WS 2024 (WS 2024)
• Knowledge Graphs Seminar (WS 2024)
• Mixed Reality Lab (WS 2024)
• Semantic Web (WS 2024)
• Seminar Privacy and Big Data (WS 2024)
• Software Projektpraktikum – Building Large Language Model Applications (WS 2024)

• NFDI4DS
• WestAI – KI-Services aus NRW für Deutschland

• Extending and Evaluating a Developing Ontology for Explainable Data Principles in AI (
  Open
  )
• Latency oriented optimization of a sensor based AI infrastructure (
  Open
  )
• Mess to Mastery: User-centric redesign of psychomotor teaching experience (
  Open
  )
• TLM: Bridge the Modality Gap between Transcriptome and Natural Language (
  Open
  )
• Single-Cell Centric Biomedical Foundation Models for Cancer (
  Open
  )
• Leveraging Large Language Models for Enhanced Decision Support in Home Energy Management (
  Open
  )
• Frequent Learner Errors: NLP Insights into Automated Grading (
  Open
  )
• The impact of privacy-enhancing technologies on the quality of services on power grid systems (
  Open
  )
• An evaluation methodology for cyber security on (smart) grid systems (
  Open
  )
• The overhead of security-by-design requirements on current power grid systems (
  Open
  )
• Interactive Guides with Mixed Reality Agents and Large Language Models (
  Running
  )
• The Role of Virtual Agents in Supporting the Method of Loci for Enhanced Memorization Techniques (
  Running
  )
• Immersive Vocabulary Learning with Large Language Models (
  Running
  )
• Evaluating Visualizations for Human-LLM Interactions in an Academic Teaching Context (
  Running
  )
• Code-Based API Generation and Integration for Graph Analysis Algorithms (
  Running
  )
• Knowledge Graph Construction for German Law Documents (
  Running
  )
• Rethinking Federated Learning in Personal Health Train (
  Running
  )
• On the Analysis and Mitigation of Hallucination in Vision-Language Models (
  Running
  )
• Implementing Agentic Graph RAG System for Oral Maxillofacial Surgery Guidelines/Books (
  Running
  )
• Brain Tumor Segmentation from 3D MRI Images using Diffusion Models (
  Running
  )
• An Ontology-Guided GraphRAG Approach for GDPR Documents (
  Running
  )
• On the Evaluation of Retrieval Augmented Generation-based Cypher Queries (
  Running
  )
• Virtual Graph-based Data Access in Heterogeneous Distributed-Analytics Environments (
  Running
  )
• Guided Knowledge Presentations with Mixed Reality Agents (
  Running
  )
• LLM-Assisted Cybersecurity Playbook Generation Based on Existing Playbooks and Retrieval-Augmented Techniques (
  Running
  )
• A Natural Language Interface for the Semantic Data Lake system (SEDAR) via LLMs (
  Running
  )
• LLM-based Tool for Integrating Ontologies and Knowledge Graphs Into Researchers’ RDM Processes (
  Running
  )
• Enhancing Spam Email Detection via Sentiment-Modification using LLMs (
  Running
  )
• Instruction-Based and Human Feedback-Driven Automation of LLM-Assisted Cybersecurity Playbook Translation into a Standardized, Machine-Readable Format (
  Running
  )
• Reasoning-based LLM enhancement for the cybersecurity playbook translation into a standardised format (
  Running
  )
• Automating Incident Response for Power Grids: A Playbook-Based Decision-Making Approach (
  Running
  )
• Privacy-Preserving Data Aggregation for Smart Meters using Temporary Ring-Based Communication Structures (
  Running
  )
• An Evaluation of Similarity-Preserving Bloom Encodings in URL-based Phishing Detection (
  Running
  )
• LLM-based Tool for FAIR Data Assessment (
  Running
  )
• Generating security playbooks from attack-defense trees using Large Language Models (
  Running
  )
• Applicability of Large Language Models for Evaluating Digital Exercises in Higher Education (
  Running
  )
• Knowledge Graph Construction from Biomedical Literature using Large Language Models (
  Running
  )
• Supervised fine-tuning LLMs for cybersecurity playbook translation (
  Running
  )
• Automated Data Processing and Knowledge Discovery for Time Series Data utilizing Large Language Models (
  Running
  )
• Adaptive Semantics for Generic Latex Expressions in the Context of Educational Resources (
  Running
  )
• An Empirical Study of Open Source Large Language Models (OSLLMs) (
  Running
  )
• Building a Social Bot for Self-Regulated Learning: Leveraging xAPI Statements, Visualizing Progress, and Recommending Learning Materials (
  Running
  )
• Psychometrics of AI Dictators: Creating and Analyzing LLM Criminal Personas (
  Running
  )
• Synopsis operators for a distributed on-the-edge streaming architecture (
  Running
  )
• Validating the Reference Architecture Model of International Data Spaces Regarding Vocabulary Sharing Requirements From Life-Science Industry in the Context of Persistent Identifier Systems (
  Running
  )
• A Condensation-based Anonymization Approach for Intrusion Detection (
  Finished
  )
• Local Differential Privacy Preserving Intrusion Detection Systems (
  Finished
  )
• Prompt Engineering for Translating unstructured playbooks into CACAO standard with the help of Large Language Models (
  Finished
  )
• A Mixed Reality Agent as a Navigation Guide (
  Finished
  )
• Explainable Data – Trust, Transparency and Bias Mitigation in ML (
  Finished
  )
• Need for Speed: Evaluating Feedback Latency in Psychomotor Learning (
  Finished
  )
• Algorithmic Approaches to Overlapping Community Detection – Multiplex Network Compatibility and a Chatbot Environment (
  Finished
  )
• Algorithmic Approaches to Overlapping Community Detection – PSO_LPA and Graph Visualization (
  Finished
  )
• Rule-Driven Feedback Engine for Psychomotor Learning: From Motion Distance to Error Detection (
  Finished
  )
• Enhancing Knowledge Graph Embedding with Uncertainty Modeling using Fuzzy Logic (
  Finished
  )
• Enhancing Physical Activity and Social Interaction through Peer-assisted Exergames (
  Finished
  )
• Towards a Data Space for Cyber Threat Intelligence (
  Finished
  )
• Moving from Ad-hoc to a Structured Testing Approach in a Graph Analysis and Community Detection Framework (
  Finished
  )
• Algorithmic Approaches to Overlapping Community Detection – Multiplex Networks (
  Finished
  )
• Algorithmic Approaches to Overlapping Community Detection – Protein-Protein Interaction Networks (
  Finished
  )
• Consistency-checking German Pathology Reports using Large Language models (
  Finished
  )
• Knowledge and Social Context-enhanced Fake News Detection (
  Finished
  )
• WILLM: A System for Academic Writing Improvement basedon Large Language Models (
  Finished
  )
• Scientific Question Answering using Retrieval-Augmented Large Language Models (
  Finished
  )
• Using LLMs to Support Modernization of Legacy Systems (
  Finished
  )
• Analysing Policy Documents using AI-based Large Language Models (LLMs) (
  Finished
  )
• Analysing Scientific Publications using AI-based Large Language Models (LLMs) (
  Finished
  )
• Adding a Beacon functionality to the Personal Health Train (
  Finished
  )
• Integration of a Moodle Chatbot into Online Courses Utilizing State-of-the-Art NLP Techniques (
  Finished
  )
• MuCo – Music Composer: Can AI Rival Human Creativity? (
  Finished
  )
• Personalized course recommender for diverse skills and certifications (
  Finished
  )
• The Implementation of Federated Learning for a Data Space in the Plastic Packaging Industry (
  Finished
  )
• Enhancing Chatbot Performance through Process Mining (
  Finished
  )
• Evaluation of Source Inference Attack and Defenses on Federated Learning (
  Finished
  )
• Effects of Generative Replay-based methods on Catastrophic Forgetting in DA on healthcare data (
  Finished
  )
• From Simulation to Real Settings: Investigating the Testability of Distributed Analytics Experiments (
  Finished
  )
• Establishing Trust in P2P Distributed Analytics Infrastructures (
  Finished
  )
• Estimation of Individual Privacy Risk in Data Sharing using Predictive Models (
  Finished
  )
• Mastering the Game of Contract Bridge: Strategy Optimization via Deep Reinforcement Learning (
  Finished
  )
• Adversarial Attacks against Face Detection Systems (
  Finished
  )
• Improved Bottom-up Deep Learning Approach for Neuronal Cell Instance Segmentation (
  Finished
  )
• Offloading of IoT Workloads in Peer-to-Peer Networks using WebAssembly (
  Finished
  )
• Sensor Based Human Motion Comparison (
  Finished
  )
• European Parliaments On Twitter during the Ukraine War: Analyzing Parliamential Influentials and Communities over Time (
  Finished
  )
• From Still to Dynamic: A Comparative Analysis of Visualization Techniques for Human Movements (
  Finished
  )
• Anomaly detection on encrypted data in industrial control systems (
  Finished
  )
• In-depth investigation into Catastrophic Forgetting in Distributed Analytics using Model Averaging (
  Finished
  )
• Utilizing Chatbots to Gamify Learning Activities and Their Effect on Motivation (
  Finished
  )
• Membership Inference Attacks against Generative Models and Differential Privacy Defense (
  Finished
  )
• A Web Frontend for Blockchain-based Proofs of Qualification (
  Finished
  )
• Untersuchung der Auswirkung der Durchdringung von Messtechnik auf die Güte der Netzüberwachung (
  Finished
  )
• Privacy-Preserving Federated Learning for Phishing Detection (
  Finished
  )
• Cryptographic-based Privacy-Preserving Machine Learning for URL Phishing Detection (
  Finished
  )
• Personalized Federated Hetero-task Learning on Graph Data (
  Finished
  )
• Automatic Response and Recovery of Phishing Email (
  Finished
  )
• A Practical Look at Membership Inference Attacks and Differential Privacy Protection on Data with Re-occurring Information (
  Finished
  )
• Decentralized Identity and Access Management for Distributed Machine Learning Systems (
  Finished
  )
• Time-series based Academic Trend and Downtrend Detection (
  Finished
  )
• Defense against Data Poisoning Attacks in Federated Learning (
  Finished
  )
• Web Frontend for the Gamification of Habit Forming in Distance Education (
  Finished
  )
• How’s your experience? A blockchain-based framework for cookie sharing enabling adversarial diversity (
  Finished
  )
• Community Detection in Mediabases – Concepts for Cross-Media and Cross-Community Research (
  Finished
  )
• Collaborative Educational Escape Rooms for Mixed Reality (
  Finished
  )
• A Unified Bot Modeling Language (
  Finished
  )
• Building an Universal Community Success Awareness Gamifier (
  Finished
  )
• Building a MediaBase for Future Computer Science Research (
  Finished
  )
• Component Crawler for Mixed Reality Projects (
  Finished
  )
• A Mixed Reality-Based Card Game for Formal and Informal Education (
  Finished
  )
• A Cognitive Modeling-Based Architecture for Realistic Agents in Mixed Reality (
  Finished
  )
• Systematic Evaluation Procedures of Mixed Reality Learning Applications (
  Finished
  )
• Reach for the Stars: Gamified Group Work in Mixed Reality (
  Finished
  )
• Collaborative Immersive Learning Analytics (
  Finished
  )
• Integrating the Interaction Flow Modeling Language Into The Community Application Editor (
  Finished
  )
• Affective Learning Recommendation Bot (
  Finished
  )
• A Social Bot Success Model (
  Finished
  )
• A Recommender System for Decentralized Question-Based Dialog (
  Finished
  )
• Citation Recommendation Bot (
  Finished
  )
• Transformation of Knowledge Graph Elements into Real-World Objects (
  Finished
  )
• Supporting Distributed Analytics Workflows with Monitoring and Transaction Bots (
  Finished
  )
• Mixed Reality Tour Guide for Knowledge Graphs (Cancelled)

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