Fattane Zarrinkalam is an Assistant Professor in the School of Computer Engineering at the University of Guelph and Chair of IEEE Women In Engineering (WIE). Before joining the University of Guelph, she was a Research Scientist at Thomson Reuters Labs working on applying information retrieval and question-answering techniques in the legal domain. Before that, she was a Postdoctoral Fellow at the Laboratory for Systems, Software, and Semantics (LS3) at Toronto Metropolitan University, where she worked on research and industrial projects related to Semantic-enabled Social Media Analysis. She has already published her work in leading venues such as CIKM, ESWC, ECIR, and some of the field’s premier journals, including Information Retrieval and Information Processing and Management. In addition, she is the principal author of “Extracting, Mining and Predicting Users’ Interests from Social Networks”, an article-issue published in Foundations and Trends in Information Retrieval journal. Furthermore, she was involved in four patent applications filed with USPTO. She has presented tutorials on User Interest Mining from Social Media at top-tier conferences in information retrieval, i.e. SIGIR and KDD.
- Natural Language Processing
- Machine Learning
- Outstanding Reviewer Award, 44th European Conference on Information Retrieval (ECIR 2022)
- Top-cited paper Award, ”Mining User Interests over Active Topics on Social Networks”, Information Pro-
cessing and Management Journal (IP&M)