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.
Rajwa Alharthi (PhD candidate) won the third price at the Faculty of Engineering students' posters competition in the technology for digit
My vision of "Digital Twin: AI for Multimedia Computing" triggered interesting discussions during Ottawa Artificial Intelligence Alliance Worksho
Honoured to be a keynote speaker today talking about "Digital Twin: the Convergence of Multimedia Technology" at the 4th IEEE Smart World Congres
Proud to present a keynote titled "Digital Twin" @ hashtag#conferences hashtag#keynote hashtag#multimedia hashtag#ieee http://www.bigmm2018.org/