Current PhD Students of Ralf Möller

• Magnus Bender: Transformer-basiertes Lernen von dynamischen probabilistisch-relationalen Modellen aus Texten
• Nils Finke: Multivariate Ordinal Patterns for Symmetry Approximation in Dynamic Probabilistic Relational Models
• Nils Frohwitter: From Deeper Models to Deep Models
• Malte Luttermann: Dynamic Probabilistic Relational Causal Models
• Mareike Stender: Hybrid Factor Graphs for Medical Decision Making

PhD Students with Theses under Review

Mentored Habilitation Theses

• Dr. Mattis Hartwig: Hybrid DPR-GPs and Beyond
• PD Dr. rer. nat. habil. Özgür Özcep: Representation Theorems in Computer Science: A Treatment in Logic Engineering

Supervised PhD Theses

• Prof. Dr. Tanya Braun: Rescued from a Sea of Queries: Exact Inference in Probabilistic Relational Models (@UzL)
• Dr. Sofia Espinosa: Content Management and Knowledge Management: Two Faces of Ontology-Based Text Interpretation (@TUHH)
• Dr. Miguel Garcia: On the Formalization of Model-Driven Software Engineering (@TUHH)
• Dr. Marcel Gehrke: Taming Exact Inference in Temporal Probabilistic Relational Models (@UzL)
• Dr. Mattis Hartwig: New Methods for Efficient Query Answering in Gaussian Probabilistic Graphical Models (@UzL)
• Dr. Thomas Hubauer: Relaxed Abduction: Robust Information Interpretation for Industrial Applications (@UzL)
• Dr. Atila Kaya: A Logic-Based Approach to Multimedia Interpretation (@TUHH)
• Dr. Felix Kuhr: Context is the Key: Context-aware Corpus Annotation using Subjective Content Descriptions (@UzL)
• Dr. Stefan Kurzbach: Flood Modeling in Spatial Data and Grid Infrastructures (@TUHH)
• Dr. Mona Lange: Time Series Data Mining for Context-Aware Event Analysis (@UzL)
• Dr. Karsten Martiny: PDT Logic: A Probabilistic Doxastic Temporal Logic for Reasoning about Beliefs in Multi-agent Systems (@UzL)
• Dr. Sylvia Melzer: Semantic Assets: Latent Structures for Knowledge Management (@UzL)
• Dr. Marisa Mohr: Learning from Ups and Downs: Multivariate Ordinal Pattern Representations for Time Series (@UzL)
• Dr. Alexander Motzek: Indirect Causes, Dependencies and Causality in Bayesian Networks (@UzL)
• Dr. Anahita Nafissi: Applying Markov Logics for Controlling ABox Abduction (@TUHH)
• Dr. Christian Neuenstadt: An Engine for Ontology-Based Stream Processing: Theory and Implementation (@UzL)
• Prof. Dr. Peter Poensgen: Algorithmen und Indexstrukturen für Top-k-Anfragen mit quasi-konvexen oder quadratischen Bewertungsfunktionen (@UzL)
• Prof. Dr. Sebastian Wandelt: Efficient Instance Retrieval over Semi-Expressive Ontologies (@TUHH)
• Dr. Michael Wessel: Flexible und konfigurierbare Software-Architekturen für datenintensive ontologiebasierte Informationssysteme (@TUHH)