The future of managing cities depends on developing systems that can deal with the computational demands of expanding digitized data and related advanced software solutions. MCRLab research focusses on the development, testing and deployment of algorithms, methods, and tools to enable city personnel, citizens, and policy makers to interact with the ubiquitous computing infrastructure of future smart cities.
Design, implement and test algorithms and tools for healthcare purposes (e.g. diagnostic or therapeutic) to enhance the well-being of citizens.
Adapt and expand knowledge extraction, data mining techniques and tools to fully exploit the content of soft/hard sensors and help fuse the generated data in immersive visual environments.
Design and develop representations for effortless, anytime, anywhere human-machine interactions and communication (3D, AR, VR, Haptics, Serious Games, etc.).
Develop an advanced, integrated and flexible biomedical Engineering systems and models to enhance citizen's Quality of Life in smart cities.
Develop multisensory biometric authentication methods to enhance access control and reduce security breaches.
Develop Cyber-physical Platforms to support the integration of various system components.
Our article "3-D Markerless Tracking of Human Gait by Geometric Trilateration of Multiple Kinects", has just been published on IEEE Xplore.
Our paper is published: L. Zhang, S. Chen, H. Dong and A. El Saddik, "Visualizing Toronto City Data with HoloLens: Using Augmented Reality for
ON April 6, uOttawa featured our work on it main home page: http://www.uottawa.ca/en Innovative device created in Abdulmotaleb El Saddik’s v
Starting January 1, 2018, Prof. El Saddik is appointed Associate Editor in Chief for IEEE MM magazine http://publications.computer.org/multime
ECG Authentication for Mobile Devices Is among the Popular Documents (October 2017) of IEEE Transactions o
https://twitter.com/uOttawaResearch/status/925376272435503105