Conference Committee

The KLR 2027 committee brings together researchers from knowledge representation, machine learning, automated reasoning, and their intersections. The committee list will be updated as confirmations are received.

Honorary Chairs

Prof. Francesca Rossi
University of Padova, Italy
Knowledge Representation, AI Ethics
Prof. Michael Wooldridge
University of Oxford, UK
Multi-Agent Systems, Reasoning

General Chairs

Prof. Hector Geffner
ICREA & Universitat Pompeu Fabra, Spain
Conference Chair — Knowledge Representation, Automated Planning
Prof. Luc De Raedt
KU Leuven, Belgium
Co-Chair — Neuro-Symbolic AI, Learning and Reasoning
Prof. Sheila McIlraith
University of Toronto, Canada
Co-Chair — Knowledge Representation, Reasoning

Program Committee Chairs

Prof. Kristian Kersting
TU Darmstadt, Germany
Neuro-Symbolic Learning, Statistical Relational AI
Prof. Sebastian Riedel
University College London, UK
Knowledge Graphs, Language and Knowledge
Prof. Fangzhen Lin
HKUST, Hong Kong SAR, China
Logic Programming, Nonmonotonic Reasoning

Local Organizing Committee

Prof. Wei Zhang
Zhengzhou University, China
Local Chair
Dr. Liu Yang
Zhengzhou University, China
Local Co-Chair

Technical Program Committee (Partial List)

  • Prof. Chitta Baral, Arizona State University, USA — Knowledge Representation and Reasoning

  • Prof. James P. Delgrande, Simon Fraser University, Canada — Belief Revision, Nonmonotonic Reasoning

  • Prof. Thomas Eiter, TU Wien, Austria — Logic Programming, Knowledge Representation

  • Prof. Nicola Leone, University of Calabria, Italy — Answer Set Programming, Reasoning

  • Prof. Zhi-Hua Zhou, Nanjing University, China — Machine Learning, Ensemble Learning

  • Prof. Mirella Lapata, University of Edinburgh, UK — Natural Language Processing, Knowledge-Grounded Generation

  • Prof. Pascal Hitzler, Kansas State University, USA — Knowledge Graphs, Ontologies, Semantic Web

  • Prof. Frank van Harmelen, VU Amsterdam, Netherlands — Knowledge Graphs, Knowledge Representation

  • Prof. Alessandra Russo, Imperial College London, UK — Inductive Logic Programming, Neuro-Symbolic AI

  • Prof. Steven Schockaert, Cardiff University, UK — Knowledge Representation, Language and Reasoning

  • Prof. Kewei Tu, ShanghaiTech University, China — Structured Prediction, Language and Learning

  • Prof. Yan Zhang, Western Sydney University, Australia — Nonmonotonic Reasoning, Knowledge Representation

  • Prof. Marius Kloft, RPTU Kaiserslautern-Landau, Germany — Machine Learning, Representation Learning

  • Prof. Stefan Woltran, TU Wien, Austria — Computational Logic, Argumentation, Reasoning

© 2027 International Conference on the Intersection of Knowledge, Learning, and Reasoning