Social Impact Analysis and Program Evaluation of GEM Mentorship Program

The project seeks to provide a program evaluation of the Girls E-Mentorship Innovation (GEM) youth mentoring program. GEM’s program is a socially innovative approach linking high school aged girls with successful professional leaders in the employment sector, to support the development of positive attitudes and future career attainment. Using mixed methods, this project develops key […]

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Artificial Cognition about Unmanned Autonomous Vehicle

My research topic is on the driver behaviors prediction for Unmanned Autonomous Vehicle (UAV) in the complex driving environment. The driver behaviors include lane changing, car following, acceleration, deceleration, etc. The work in this project will focus on establishing two models about lane changing prediction in the high way and the driver behavior prediction in […]

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A Flexible Next-Generation Network Platform

CENGN (http://www.cengn.ca/ ), the Center of Excellence in Next Generation Networking, is a newly formed tri-council funded center of excellence for commercialization and research (CECR) that will bridge the gap between research and commercialization, which is critical to building successful startup companies. CENGN is a consortium of industry, academic and research leaders who are putting […]

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Advanced combustion mode control for modern engines

Internal combustion (IC) engines are widely used in the world and in the following decades, it will remain the major source of transportation power. However, the emissions of IC engines, are demonstrated have negative impact on the human health as well as the whole environment. Hence, stringent emission norms are continuously imposed on IC engines. […]

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Monitoring System for Predictive Energy Management and Maintenance of PV Systems

Existing techniques rely on conventional techniques, which are insufficient and do not ensure increased and optimal utilization of freely available PV energy. We propose predictive energy management and preventive maintenance through monitoring system for PV systems, taking futuristic PV potential and weather forecasts into account in association with the operational parameters of the PV system. […]

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Cloud based Big Data Processing Architecture for Internet of Things

As future IoT infrastructure generates massive data in excess of exabytes, a unified architecture to handle Big Data is highly essential. Development of unified Big Data processing architecture for IoT infrastructure will provide a scalable and standard solution that addresses the problem of continuous increase in the volume of Big Data. Cloud networks provide necessary […]

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NaLnF4 nanoparticles as high-sensitivity reagents for mass cytometry immunoassays

One of the goals of modern bioanalytical chemistry is the simultaneous (multiplexed) detection of multiple biomarkers in individual cells. Biomarkers are defined as characteristic proteins, genes, or small molecules that can be measured and evaluated as indicators of normal biological or pathological state of a cell. Mass cytometry is a recently developed technique developed by […]

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The Academic Physician Retirement Project

This research project will investigate retirement planning among academic physicians within the Department of Medicine (DOM) at the University of Toronto. The overall objective of this project is to investigate the range of perspectives held by members of the DOM about retirement and to develop a later career transition assessment tool that will facilitate institutional […]

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Development of a slit die system for on-line rheological measurements of polymeric melts

Our industry partner, EHC GLOBAL, is a world leader in the design, manufacture and sale of escalator handrails products including recyclable handrail that features built-in antimicrobial properties and the ability to display custom graphics. They also deal in many other products such as escalator safety brushes, urethane rollers and engineered polymer products and are continuing […]

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Caffeine, genetic variation and athletic performance

Caffeine is among the most widely consumed performance enhancing substance used by athletes at all levels. However, studies that have investigated the effects of caffeine on athletic performance report inconsistent findings and the role of an individual’s genetic make-up in influencing how a person processes caffeine is becoming increasingly important. As a result, there is […]

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