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Fattane Zarrinkalam received his PhD from Ferdowsi University of Mashhad, Iran. He previously held a Postdoctoral Research Fellow position at Ryerson University from 2018 to 2020. Joined the University of Guelph as an Assistant Professor in the School of Engineering in 2021. His research focuses on mining semantic technologies with specific attention to the semantics of user-generated content and the interactions of users' temporal behavioral patterns to extract actionable insights. His interdisciplinary research projects aim to solve real-world problems in various fields including healthcare, telecommunications, legal tech, and e-commerce. Key areas of focus include semantic interpretation of social content, where he investigates the complexity of analyzing content semantics to extract underlying meanings. He aims to develop efficient domain-independent entity linking techniques to automatically infer the semantics of user-generated content and link it to knowledge graphs. Additionally, he explores user modeling techniques to analyze historical social content to extract both explicit and implicit user interests, contributing to the field of recommender systems. He is particularly interested in using temporal user modeling to predict future user interests and examining social analytics for fairness, inclusion, and transparency in design.
University of Guelph • Guelph, Ontario, Canada
Teaching and researching in the Department of Engineering.
Ryerson University • Toronto, Ontario, Canada
Conducted research on semantic technologies.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).