Our Philosophy

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.

Smart Health & Well-Being

Design, implement and test algorithms and tools for healthcare purposes (e.g. diagnostic or therapeutic) to enhance the well-being of citizens.

Data & Visual Analytics

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.

Seemless Interactions

Design and develop representations for effortless, anytime, anywhere human-machine interactions and communication (3D, AR, VR, Haptics, etc.).

Quality of Life

Develop an advanced, integrated and flexible Quality-of-Experience models to enhance citizen's Quality of Life in smart cities.

Security and Privacy

Develop multisensory biometric authentication methods to enhance access control and reduce security breaches.

Cyber Phisycal Systems

Develop Cyber-physical Platforms to support the integration of various system components.

Latest News

Byelsaddik Feb 22, 2017

Fake News: Determining trust in media-rich websites using semantic similarity

Our paper "Determining trust in media-rich websites using semantic similarity" published in Multimedia Tools and Applications (2012) 60:69–96

Byelsaddik Feb 21, 2017

Imagine a home where everyday appliances talk to you — and to each other

https://www.innovation.ca/story/mirror-mirror-wall An article Originally posted December 2013

Byelsaddik Jan 7, 2017

CFP: Advances of Multisensory Services and Technologies for Healthcare in Smart Cities


Byelsaddik Dec 31, 2016

Open Data-Set of Seven Canadian Cities

Our paper titled: Open Data-Set of Seven Canadian Cities has been accepted in IEEE ACCESS (IF: 1.27) H. Dong; G. Singh; A. Attri; A. El Saddi

Byelsaddik Dec 5, 2016

BEST Paper Award

MCRLab researchers A. S. M. Mahfujur Rahman, and Abdulmotaleb El Saddik receive the Best Paper Award at the 13th ACS/IEEE International Confere

Byelsaddik Nov 16, 2016

City digital pulse: a cloud based heterogeneous data analysis platform

Our article: City digital pulse: a cloud based heterogeneous data analysis platform by  Zhongli Li, Shiai Zhu, Huiwen Hong, Yuanyuan Li