معرفی
Pieter Bonte serves as an Assistant Professor (tenure track) in the Department of Computer Science at KU Leuven's Faculty of Engineering Science, based at the Kulak Kortrijk Campus. He holds dual institutional affiliations as a core member of Leuven.AI - KU Leuven Institute for Artificial Intelligence and participates in academic governance through the Council of the Faculty of Engineering Science, Computer Science Department Council, and Science, Engineering and Technology Group Council at Campus Kulak Kortrijk.
His research program centers on Stream Reasoning and Semantic Web technologies, with specialized expertise in Knowledge Graph embeddings, neurosymbolic reasoning, and edge analytics for IoT data streams. Current investigations focus on resource-optimized stream processing, cross-context learning architectures, and ontological frameworks for heterogeneous streaming data. His work bridges theoretical foundations with healthcare and communications network applications, emphasizing practical deployment in distributed environments.
Recent publications (2023-2025) reveal dominant themes in RDF stream processing systems, benchmarking methodologies for knowledge graph embeddings, and ontology engineering for streaming linked data. His output consistently targets high-impact venues including VLDB Journal, Semantic Web journal, and DEBS conference, demonstrating leadership in stream reasoning standardization through comprehensive surveys and vision papers. The research trajectory shows increasing integration of symbolic AI with neural approaches for edge-constrained environments.
As principal investigator, Bonte leads three major funded projects through 2028: Stream Reasoning for efficient Edge Processing, Neurosymbolic Stream Reasoning, and Edge analytics of heterogeneous IoT data streams. His teaching portfolio includes core computer science courses in Operating Systems (X0A48A), Declarative Languages (X0C99A), Computer Systems Organization (X0E31A), and Scientific Training (X0D49A), reflecting his commitment to foundational and emerging topics in data-intensive systems.
Bonte's research group operates within KU Leuven's Leuven.AI ecosystem and Kulak campus infrastructure, maintaining extensive international collaborations evident in multi-institutional publications. The team specializes in developing semantic stream processing frameworks for real-world applications in healthcare monitoring and communications networks, with active partnerships across European research institutions.
