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Full Professor - Synchromedia Director
Pattern recognition, mathematical modeling for image processing, machine learning, document analysis and recognition, Intelligent handwriting recognition, information retrieval, and perception
Computational intelligence, Image processing and understanding tools as a service, SOA based collaborative platforms in telepresence, resource and network virtualization, GHG emissions reduction strategies for ICT
MOHAMED CHERIET received the B.Sc. CE (Bab Ezzouar University, Algiers), DEA and Doctorate of University of Paris 6 (Paris 6, France).
As a scientist and educator, Prof. Cheriet has taken an active role in publishing technical papers and authoring books. He has published 70 international journal papers and 135 international conference papers, and has delivered 17 invited talks. In addition, he has authored and published 6 books on pattern recognition, document image analysis and understanding, and computer vision. Among them, the book entitled Character Recognition Systems, a Textbook for Students and Practitioners, is highly acclaimed. Prof. Cheriet is also recognized for his activities in technical journal editorial writing, organizing and taking part in many conferences. He has contributed to the training of 65 high qualified personnel. He has also served as chair of the IEEE’s Montreal CIS Chapter.
Navigation and image-guided procedures in the field of Cardiology and Orthopaedics.
Luc Duong completed a B.Eng. (1999) and Ph.D. (2007) degrees from École Polytechnique de Montréal.
He joined the CHU Sainte-Justine Research Center in January 2000 as a software engineer and a research associate. He contributed to the design and development of navigation software to assist the surgical correction of Adolescent Idiopathic Scoliosis (AIS).
From May 2004 to August 2007, he focused on designing a classification system aimed to better guide the surgical treatment of AIS under the supervision of Prof. Farida Cheriet and Dr Hubert Labelle. M. Duong introduced machine learning and pattern recognition techniques to the study of spinal deformities. Moreover, he proposed a software methodology, jointly with the Scoliosis Research Society to design a new 3-D classification, better adapted to the study of spinal deformities.
From October 2007 to October 2008, he was a postdoctoral fellow in the Interventional Imaging Departement of Siemens Corporate Research, Princeton NJ. The project was aimed towards image-guided navigation of Chronic Total Occlusions (CTO) in Cardiology. Under the supervision of Chenyang Xu, he developed an expertise in image guided procedures of coronary arteries. This project was jointly conducted in collaboration with the Erasmus MC ThoraxCentrum in Rotterdam, The Netherlands.
He is currently member of the Order of Engineers of Quebec since Januray 2000 and a IEEE member.