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, etc.).
Develop an advanced, integrated and flexible Quality-of-Experience 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 paper: A Dataset for Psychological Human Needs Detection from Social Networks," is available under the "Early Access" area on IEEEXplore - D
K. Alghoul; S. Alharthi; H. Al Osman; A. El Saddik, "Heart Rate Variability extraction from videos signals: ICA vs. EVM comparison," in IEEE Acce
B. Yang, H. Dong and A. El Saddik, "Development of a Self-Calibrated Motion Capture System by Nonlinear Trilateration of Multiple Kinects v2," in