Research Labs
I currently perform a role of co-leader of two newly established research labs:
More information is available from the corresponding web sites.
My recent (short) CV is available for more information on recent publications, teaching and service.
Jay Ingram with M. Gavrilova book on Multi-Modal Biometrics and Intelligent Security Systems in BT Lab, while shooting a segment on fingerprint spoofing for Discovery Channel "Science: Seriously!" on October 2014 | |
National Museum of Civilization Exhibit, Quebec City, profiling ground-breaking research of seven Canadian scientists including M.L. Gavrilova research on a national level, 2012-2013 |
Research Projects
Gait Activity Gait activity project looks at how human activities and movements can be classified using depth map obtained from KINECT device. |
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Gait Recognition Gait recogniton project shows how a new classification method using relative positions of body joints can identify humans by their walking styles.
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Information Fusion Multi-modal system fusion research invents new methods for imrpoving accuracy of biometric system when multiple biometric modules are present. Methods include Fuzzy fusion, Markov Chain rank fusion, probability-based fusion, confidence-based fusion, quality-based fusion. |
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Biometric Privacy Research into privacy preserving biometric templates provides tools to revoke compromized or damaged biometric data from the system, while at the same time enhancing template protection using cross-pollenation of templates |
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Research Sponsors
Collaborations
Ph. D. Research
Prof. Gavrilova have obtained her Doctoral degree from Department of Computer Science and Department of Mechanical and Manufacturing Engineering at the University of Calgary. Design and analysis of computational geometry algorithms with the application to object-oriented simulation of dynamics of multi-body systems was the primary area of her research. The project concentrated on the simulation of granular-type materials and involved research in computer science, mathematics and mechanical engineering fields. Particular area of interest was investigation of generalized Voronoi Diagrams and Delaunay Tesselations in dynamic environment and under various distance functions.
Diploma (Honours) Research
The topic of Prof. Gavrilova research at Moscow Lomonosov State University was design and implementation of the knowledge-based computer system for mathematical research. The project used recent developments in the field of artificial intelligence and applied them to the problem of computer supported theorem proving. The result of this research was described in my thesis project, which was successfully defended in June 1993. Prof. Gavrilova has graduated from the MSU with Diploma with Honours (M.Sc. Equivalent).
Labs
Research Indexing
Media
Editor-in-Chief
Contact
Marina L. Gavrilova
Department of Computer Science
University of Calgary
2500 University Dr. N.W.
Calgary, AB, T2N1N4
Phone: (403) 220-5105
Fax: (403) 284-4707
E-mail: marina@cpsc.ucalgary.ca