Marina Gavrilova

Marina Lvovna Gavrilova (born 1971)^[1] is a Russian-Canadian computer scientist whose research interests include machine learning, data fusion, and biometrics, including the use of behavioral characteristics to unmask anonymous social network contributors.^[2] She has also published well-cited research on the use of Voronoi diagrams in path planning. She is a professor of computer science at the University of Calgary in Canada, where she holds a UCalgary Research Excellence Chair. She is also the editor-in-chief of Transactions on Computational Sciences.

Gavrilova earned a master's degree in computer science in 1993 from Lomonosov State University in Moscow. She completed her Ph.D. at the University of Calgary in 1999.^[3] Her doctoral dissertation, Proximity and Applications in General Metrics, was supervised by Jon Rokne.^[4]

She is editor-in-chief of Transactions on Computational Science,^[5] an academic journal^[6] whose volumes are published as a series of edited volumes in the Lecture Notes in Computer Science book series.^[5]

In 2021 the University of Calgary named Gavrilova as a recipient of the Order of the University of Calgary.^[7] In 2022 the university named her as a Killam Annual Professor,^[8] and in 2023 she was one of 22 professors to be awarded an inaugural UCalgary Research Excellence Chair.^[9]

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