Scholar
Wannes Meert
Google Scholar ID: Q-saBpcAAAAJ
DTAI, KU Leuven
Citations & Impact
Citations
3,710
H-index
28
i10-index
54
Publications
20
Co-authors
69
list available
Publications
Resume (English only)
Academic Achievements
- Has published multiple papers, which can be found on Lirias (KU Leuven) and Google Scholar.
Research Experience
- Currently an IOF Research Manager in the Declarative Languages and Artificial Intelligence (DTAI) Section of the Department of Computer Science at KU Leuven. Engaged in various industrial applications of machine learning and data mining projects.
Education
- Completed his PhD on learning for Probabilistic Logic Models (Statistical Relational Learning, SRL) in 2011 under the guidance of Professor Hendrik Blockeel.
Background
- Research interests include Artificial Intelligence, Machine Learning, Anomaly Detection, Data Mining, Probability, Logic, Relational, Graphical Models, Bayesian networks, Probabilistic Programming, Statistical Relational AI, Time series, Learning and Reasoning.
Miscellany
- Participates in the InnovationLab project, aimed at STEM education outreach to high school students. Has software projects such as DTAIDistance and ProbLog available on GitHub.
