Prof. Dr. Stefan Decker
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Contact Information:
Lehrstuhl Informatik 5
6231, 2nd floor, building: E2
Ahornstr. 55
52056 Aachen
DE
- 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)
- Datenbanken und Informationssysteme (SS 2024)
- Knowledge Graph Lab SS 2024 (SS 2024)
- Knowledge Graphs Seminar (SS 2024)
- Mixed Reality Lab (SS 2024)
- Seminar Privacy and Big Data (SS 2024)
- Web Science Seminar (SS 2024)
- Bridge Course Databases (WS 2023)
- Data Science in Medicine (WS 2023)
- Knowledge Graph Lab WS 2023 (WS 2023)
- Knowledge Graphs Seminar (WS 2023)
- Mixed Reality Lab (WS 2023)
- Semantic Web (WS 2023)
- Seminar Privacy and Big Data (WS 2023)
- Bridge Course Databases (SS 2023)
- Data Science in Medicine (SS 2023)
- Datenbanken und Informationssysteme (SS 2023)
- Knowledge Graph Lab SS 2023 (SS 2023)
- Mixed Reality Lab (SS 2023)
- Seminar Computational Biomedicine (SS 2023)
- Seminar Privacy and Big Data (SS 2023)
- Web Science Seminar (SS 2023)
- Bridge Course Databases (WS 2022)
- Data Science in Medicine (WS 2022)
- Knowledge Graph Lab WS 2022/23 (WS 2022)
- Knowledge Graphs Seminar (WS 2022)
- Mixed Reality Lab (WS 2022)
- Privacy Enhancing Technologies for Data Science (WS 2022)
- Semantic Web (WS 2022)
- Basic End2End Resourcemanager (SS 2022)
- Bridge Course Databases (SS 2022)
- Data Science in Medicine (SS 2022)
- Datenbanken und Informationssysteme (SS 2022)
- Informationsmanagement für öffentliche Mobilitätsangebote (SS 2022)
- Knowledge Graph Lab SS 2022 (SS 2022)
- 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)
- 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)
- 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)
- Utilizing RAG-Based LLM Approaches to Advance Automated Cybersecurity Incident Response Playbook Generation (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)
- Frequent Learner Errors: NLP Insights into Automated Grading (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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