
About
George Fletcher is a Full Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), where he chairs the Database Group in the Data and Artificial Intelligence Cluster. His research focuses on data systems, particularly the social aspects of data systems and the theoretical and engineering foundations of query and schema languages. He is currently investigating graph data management in domains such as social networks, knowledge graphs, biological networks, and communication networks, as well as data systems education.
His academic training includes a PhD in Computer Science from Indiana University Bloomington and undergraduate studies in Mathematics and Cognitive Science at the University of North Florida.
His research interests lie at the intersection of database systems, logic, and artificial intelligence, with a strong emphasis on the formal foundations of graph data querying. He explores expressiveness of navigational query languages, transitive closure, bisimulation, and synthetic workload generation for benchmarking graph databases. His recent publications demonstrate deep theoretical contributions to query language design and analysis.
The trend in his recent articles (2015–2016) shows a concentrated effort on understanding the expressive power of query languages over graph-structured data, particularly through formal methods such as relation algebra and logical characterizations. These works contribute to both theoretical computer science and practical database system design, especially in the context of unlabeled graphs and Boolean queries.
- Executive Board Member, EDBT Association
- Associate Editor, ACM SIGMOD Record
- Associate Editor, Transactions on Graph Data and Knowledge
He advises research within the Database Group and leads projects related to graph data systems. Though specific grants are not listed, his leadership in major research initiatives and editorial roles suggests active grant involvement and academic mentorship. He teaches courses such as Capita Selecta Databases, Seminar Datamanagement, Datamodeling and Databases, Knowledge Engineering, and Data Management for Data Analytics.
He is a core member of the Database Group at TU/e and part of EAISI (Eindhoven Artificial Intelligence Systems Institute), contributing to foundational AI research with a focus on data infrastructure and intelligent data systems.
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