crowdsensing

ShareCrowd Funded by NSERC SPG

in crowdsensing, funding, mobile computing

The project aims to develop novel algorithmic, data analytics and system solutions to lowering the barriers to participation and monetization in mobile crowdsensing. It is a collaborative project with Dr. Ruihai Wu from McMaster School of Business and Dr. Kui Wu from University of Victoria, and in partnership with OverAir Proximity Technologies and CompuClever Systems Inc.

We are currently looking for motivated post-doc researcher and graduate students to be involved in the project.

One post-doctorial researcher position:

Mobile Crowdsensing

in active learning, crowdsensing, data cleaning, incentivization, mobile

Recently, with the proliferation of mobile devices with rich sensor peripherals and computation capability, mobile crowdsensing, a special form of crowdsourcing where communities contribute sensing information and human intelligence using mobile devices to form a body of knowledge, has gained much interest in a variety of environmental, commercial and social applications. The goal of this project is to develop novel algorithmic, data analytics and system solutions to lowering the barriers to participation and monetization in mobile crowdsensing.

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