Michal Slupczynski
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Contact Information:
Lehrstuhl Informatik 5
Building: E2
Ahornstraße 55 52074 Aachen
Michal Slupczynski received his master's degree in Software Systems Engineering in 2020 from RWTH Aachen University. He is working as a research assistant and PhD student at the Chair for Computer Science 5 at RWTH Aachen University since December 2020.
Research topics:
- Stakeholder engagement
- DevOps, MLOps, LLMOps, workflow automation
- Decentralized Communities, P2P
- AR/VR, especially collaborative environments
- HCI: UI, UX, personal fabrication
- Interactive Storytelling
- Agile Project Management
- Digital Transformation
- Gamification and Games
- Datenbanken und Informationssysteme (SS 2024)
- Web Science Seminar (SS 2024)
- Social Computing Seminar (WS 2023)
- Datenbanken und Informationssysteme (SS 2023)
- Web Science Seminar (SS 2023)
- Social Computing Seminar (WS 2022)
- Algorithmen für die Entdeckung von Communities in sozialen Netzwerken (SS 2022)
- Datenbanken und Informationssysteme (SS 2022)
- Web Science Seminar (SS 2022)
- High-tech Entrepreneurship and new Media (WS 2021)
- Social Computing Seminar (WS 2021)
- Web Science Seminar (SS 2021)
- Blockchain4DatenMarktplatz.NRW
- TrainSpot2 – Train-the-Trainer-HotSpot der Nationalen Bildungsplattform im Bereich der Erwachsenen- und Weiterbildung
- MILKI-PSY – Multimodales Immersives Lernen mit KI für Psychomotorische Fähigkeiten
- TrainSpot – Train-the-Trainer-HotSpot der Nationalen Bildungsplattform im Bereich der Erwachsenen- und Weiterbildung
- las2peer
- 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)
- Frequent Learner Errors: NLP Insights into Automated Grading (Open)
- Building a Social Bot for Self-Regulated Learning: Leveraging xAPI Statements, Visualizing Progress, and Recommending Learning Materials (Running)
- Explainable Data – Trust, Transparency and Bias Mitigation in ML (Finished)
- Need for Speed: Evaluating Feedback Latency in Psychomotor Learning (Finished)
- Rule-Driven Feedback Engine for Psychomotor Learning: From Motion Distance to Error Detection (Finished)
- Enhancing Physical Activity and Social Interaction through Peer-assisted Exergames (Finished)
- Using LLMs to Support Modernization of Legacy Systems (Finished)
- Offloading of IoT Workloads in Peer-to-Peer Networks using WebAssembly (Finished)
- Sensor Based Human Motion Comparison (Finished)
- From Still to Dynamic: A Comparative Analysis of Visualization Techniques for Human Movements (Finished)
- Time-series based Academic Trend and Downtrend Detection (Finished)
- Web Frontend for the Gamification of Habit Forming in Distance Education (Finished)
- Building an Universal Community Success Awareness Gamifier (Finished)
- Building a MediaBase for Future Computer Science Research (Finished)
- Detection of malicious social bots in online social networks using Artificial Immune Systems (Finished)
- Gamification of Habit Forming in Distance Education (Finished)
- Affective Learning Recommendation Bot (Finished)
- Citation Recommendation Bot (Finished)
- Overlapping Community Detection for Botnet analysis on microblogging plattforms (Cancelled)
- Web Frontend for exchange of NFT artwork (Cancelled)
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