Office: 613 952-3168
Work E-mail: Dmitry.Gorodnichy@cbsa-asfc.gc.ca
PhD in Computing Science (Thesis: Autonomous robot navigation using single camera and occupancy-based world models ), University of Alberta, 2000.
PhD in Mathematics (Thesis: High-efficiency incremental learning for pattern recognition using pseudo-inverse associative neural networks ), Glushkov Cybernetics Center of Ukrainian Ac.Sc.,1997.
M.Sc. with Distinction, Moscow Institute of Physics and Technology, 1994.
Dmitry O. Gorodnichy is a Senior Research Scientist and a founding Leader of the Video Surveillance and Biometrics section at the Science and Engineering Directorate of the Canada Border Services Agency, also Adjunct Professor at the University of Ottawa and the Université du Québec's École de Technologie Supérieure..
Prior to his employment with the agency, he worked for eight years with National Research Council of Canada, where he was involved in vision-based robotic arm tracking for the Canadarm, and where he established and led the Video Recognition Systems project.
Current interests are in evaluation and development of Video Analytic (VA) and Face Recognition in Video (FRiV) technologies for border security applications - in collaboration with University of Ottawa's TAMALE and VIVA labs, the École de Technologie Supérieure's LIVIA lab, under the PROVET-IT(VA) and PROVE-IT(FRiV) projects funded by the Defence Research and Development Canada's Center for Security Science.
Other contributions to science and technology include:
Nouse® (Nose as Mouse) hands-free computer-user interface, available for download at www.nouse.ca - in partnership with Bruyère Continuing Care and University of Ottawa's Faculty of Health Sciences .
Detection and recognition of pianist hands and fingers - in partnership with University of Ottawa's Piano Pedagogy Lab .
Open Source Associative Neural Network Library and its application to face recognition in video.
Tutorial on Recognition in Video , including neurobiology-inspired recognition of faces.
Video Analytics Platform (VAP) and ACE Surveillance™ (Annotated Critical Evidence), for automated detection and processing of alarms by surveillance cameras.
Analysis of non-confident matches of iris biometrics, incorporated into recommendations to ISO SC 37 Standard on Biometric Evaluation.
Supervisor for over 25 undergraduate and graduate students. Author of four patents and over seventy scientific papers, including two IEEE "Best Presentation" award papers and the invited chapter on "Face recognition evaluation" for the Encyclopedia of Biometrics. Editor of Special Issue of “Image and Vision Computing” journal on “Face Processing in Video Sequences”. Chair of the first IEEE-published International workshops on “ Face Processing in Video ” (2004-5), “Video Processing for Security” (2006), and “Video Processing and Recognition” (2007) and the Government of Canada workshops on Video Technology for National Security (since 2007).
Recipient of the Outstanding Scientific Achievement Award from the National Research Council of Canada, the Young Investigator Award from the Canadian Image Processing and Pattern Recognition Society, the Cultural Diversity Leadership Award from University of Alberta, named the Leader of Tomorrow by the Canadian Royal Society Academy of Science's Partnership Group for Science and Engineering.