Maurice Funk
Scholar

Maurice Funk

Google Scholar ID: RvrlZUEAAAAJ
Leipzig University
Description LogicsKnowledge RepresentationLearningLogic in Computer Science
Citations & Impact
All-time
Citations
229
 
H-index
8
 
i10-index
7
 
Publications
16
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Successfully defended his PhD thesis; paper 'SAT-Based PAC Learning of Description Logic Concepts' won a distinguished paper award at IJCAI 2023; paper 'Extremal Fitting Problems for Conjunctive Queries' won the best paper award at PODS 2023; paper 'Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies' was an honorable mention for distinguished paper at IJCAI 2021.
Research Experience
  • Postdoctoral researcher in the Knowledge Representation Group at Leipzig University, headed by Carsten Lutz. Has been a teaching assistant for various theoretical computer science courses and advised two bachelor's theses and one master's thesis.
Education
  • PhD, Leipzig University, supervised by Carsten Lutz.
Background
  • Research interests include learning formal representations from examples, description logic (and related logics), and querying under background knowledge.
Miscellany
  • Contact: mfunk+spam@posteo.de or mfunk@informatik.uni-leipzig.de; Online: LinkedIn, ORCiD, Google Scholar, dblp; Teaching: Algorithmic Learning Theory (Winter Semester 2024/25), Description Logic (Summer Semester 2025), etc.