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John Akinyemi is an Assistant Professor in the School of Computer Science at the University of Guelph. He earned his PhD in Computer Science from the University of Waterloo in 2012, and holds an MSc in Computer Science from the University of Manitoba (2006) and a Bachelor of Technology from the Federal University of Technology, Akure (1997). His research focuses on advancing Semantic Information Retrieval through the use of Graph-Based Models. Akinyemi's work integrates Graph Databases and Knowledge Graphs with Software Engineering to enhance semantic information storage and retrieval. He investigates the development of domain-specific language models that leverage knowledge graphs to train models using datasets that encompass domain ontologies and software artifacts. His research also emphasizes creating semantic representations of relationships within structured, unstructured, and semi-structured data to improve the capabilities of search engines and recommender systems. Furthermore, Akinyemi applies Knowledge Graphs to enterprise data repositories, such as GitHub, uncovering insights that drive effective software development practices. He combines AI with semantic storage in graph databases to optimize information retrieval and organization across various industries, including finance, e-commerce, and public services. Akinyemi advocates for open standards and sustainable practices in semantic graph modeling, positioning Canadian researchers at the forefront of semantic information technologies.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).