Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Marina L. Gavrilova

Marina L. Gavrilova

Marina L. Gavrilova
Associate Professor, Department of Computer Science
University of Calgary, Canada


Marina L. Gavrilova is an Associate Professor in the Department of Computer Science, University of Calgary. Dr. Gavrilova research interests lie in the area of biometric security, cognitive sciences, pattern recognition, social networking and cyberworlds. Prof. Gavrilova is founder and co-director of the Biometric Technologies Laboratory, with over 120 journal and conference papers, edited special issues, books and book chapters, including World Scientific Bestseller (2007) – “Image Pattern Recognition: Synthesis and Analysis in Biometric” and \"Multimodal Biometrics and Intelligent Image Processing for Security Systems\". Together with Dr. Kenneth Tan, Prof. Gavrilova founded ICCSA series of international events in 2002. She was co-Chair of the International Workshop on Biometric Technologies BT 2004 and General Chair of International Conference on Cyberworlds CW2011, and currently servces as Founding Editor-in-Chief of Transactions on Computational Science Journal, Springer. Prof. Gavrilova has given Invited Keynotes and Invited Panel Lectures at such prestigious international events at INDIN 2003, 3AI’06, ICBAKE 2008, ICCSA 2010, ICCI*CC 2011, CyberWorlds 2012, GRAPHICON 2012 and appeared as panelist at 14th Security and Privacy Conference. She has given invited talks at DIMACS, Bell Labs, USA, Microsoft Research, Redmond, Samsung Research, South Korea and at numerous universities worldwide. Her research was profiled in newspaper and TV interviews, most recently being chosen to be featured in Exhibit at National Museum of Civilization, in National Film Canada production and on upcoming Discovery Channel biometric spoofing segment.

Research Interest

biometric security, cognitive sciences, pattern recognition, social networking and cyberworlds

Google Scholar citation report
Citations: 1004

Advances in Robotics & Automation received 1004 citations as per Google Scholar report

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