I believe the future of mobile computing and personal healthcare could become intimately tied in to one another. This is facilitated by the fact that Smartphone platforms are continuously evolving, extending their coverage in the healthcare space. This is where my research interests lie; the evolution of technology-assisted platforms for proactive and reactive medical purposes.

 

Throughout my PhD degree program, I was deeply focused on the underlying communication and security technologies for wireless systems, which complemented my four years of work experience at BlackBerry in the Mobile Health (mHealth) domain. My research portfolio resulted in successfully initiating, directing, and monitoring a number of mHealth-related projects, such as the Artificial Pancreas Project, which was a mega-project, a joint-venture between BlackBerry, Juvenile Diabetes Research Foundation (JDRF), Medtronic, University Health Network (UHN), and other involved organizations and individuals.

-   End-to-End (E2E) medical sensor networks

o   Security/communication schemes and protocols

o   Biomedical link technologies: Bluetooth, Bluetooth Low-Energy (BT-LE), ZigBee

o   IEEE-based medical standards: IEEE P11073: Standard Draft Health Informatics - Point-of-care medical device communications

o   Application-specific medical sensors: Blood-pressure, diabetes (i.e., glucose monitoring and insulin pump), blood-oxygen, heart-pulse-rate, sleep technology, and Alzheimer

o   Biometric-based authentication and security key systems

-   Design and prototyping biomedical systems used in medical trials

-   Analysis, design, development, and evaluation of mHealth preventive (proactive) and treatment (reactive) schemes

-   Invasive versus non-invasive mHealth deployment issues

-   FDA regulations for mHealth

-   Contactless biometric sensing

-   Brainwave biofeedback systems: Analyses of Gamma, Alpha, Beta, Theta, and Delta waves

-   Behavioral monitoring and mental health: Emotion, motivation, suggestion, persuasion, and behavioral prediction

-   Technology-assisted aging population assistance: Mental stimulation, location monitoring

-   Medical data traffic classifications

-   Remote medical data collection, analysis, transmission, manipulation, characterisation, and storage

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