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.
Majed Alowaidi (MCRLab's PhD candidate) receives the 2017 Best Demo Award at Sensors Applications Symposium SAS17_Best_Demo_Award
MDII and NSERC CREATE BEST would like to invite you to attend the first annual student poster event located at 55 Laurier - https://goo.gl/maps/9
You are invited to participate in a novel study examining the impact of smartphones on the development and performance of varsity athletes in th
Days Spent Together Using Soft Sensory Information on OSNs—A Case Study on Facebook by Alzamzami et al. (2016) considered an interesting prob