Dr. Daniel Schlör

My research sits at the intersection of Data and Knowledge Engineering and Machine Learning, with a strong applied focus on Cyber security. I currently lead the Machine Learning for Cyber Security research group and two funded projects, DEMAnD-LM and BRACE-LLM.

My research is organized along three interconnected themes:

• Data Engineering and Knowledge Graphs: continual integration of KGs into language models (CapsKG, PreAdapter (ISWC23,24), CGKGC (ESWC26)), data pipelines for heterogeneous sources, synthetic data generation and benchmarking
• AI/ML for Cyber security: formalizing security knowledge for LLM-based agents, explainable AI, and robustness of ML-based security systems but also cyber security in a broader sense: offensive and defensive perspectives, industry collaborations in penetration testing, and practical / human-in-the-loop perspectives
• Security Analytics and Anomaly Detection: intrusion and malware detection on network flows and audit logs, red- and blue-team agents in cyber ranges for realistic data generation and evaluation

• Summer term 26: Praktikum: Offensive Security Lab: Building and Solving CTF Challanges
• Winter term 25/26: Data Science (interim Professorship @ University of Cologne)
• Winter term 25/26: Machine Learning for Cyber Security (interim Professorship @ University of Cologne)
• Summer term 25: Seminar + Praktikum: Machine Learning for Cyber Security
• Summer term 25: Vorlesung zu Data Science (ehemals Data Mining)
• Winter term 24/25: Anomaly Detection
• Winter term 24/25: Grundlagen der Algorithmen und Datenstrukturen
• Summer term 24: Seminar + Praktikum: Machine Learning for Cyber Security
• Summer term 24: Vorlesung zu Data Science (ehemals Data Mining)
• Winter term 23/24: Vorlesung zu Machine Learning for Time Series and Anomaly Detection
• Summer term 23: Übung zu Music Information Retrieval
• Summer term 23: Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
• Winter term 22/23: Seminar: Ausgewählte Themen des Machine Learning (BA and MA)
• Summer term 21: Praktikum: Musik und Maschinelles Lernen
• Winter term 20/21: Übung zu Grundlagen der Algorithmen und Datenstrukturen
• Winter term 20/21: Seminar: Musik und Maschinelles Lernen
• Winter term 19/20: Übung zu Grundlagen der Algorithmen und Datenstrukturen
• Winter term 18/19: Übung zu Grundlagen der Algorithmen und Datenstrukturen
• Winter term 17/18: Übung zu Grundlagen der Algorithmen und Datenstrukturen
• Winter term 16/17: Sprachverarbeitung und Text Mining
• Winter term 15/16: Sprachverarbeitung und Text Mining