The proposed research project proposes to study how to best provide a student learning portal for children of age 8 to 13 years old. Such system requires to carefully reviewing the literature both in terms of designing for children, and in terms of interpreting the results of usability studies with children. Designing an effective student […]

To research will help Tap for Tap to generate and collect information on user behavior that can help improve their matching algorithms. The core of the work consists in analyzing a large dataset of app users’ responses to advertising. Clearly, much of this search for determinants of successful matching will be statistical in nature. Still, […]

For producers of film and TV, extending a brand into the digital space can be a daunting enterprise. Estimating how successful a Twitter campaign or an Alternate Reality Game has been in fostering the proliferation and audience goodwill towards a TV or Film entity can be a frustratingly inscrutable endeavor. Even if a campaign seems […]

The project is a program evaluation of the mobile application OISEAU: Agents of Nature, designed by the non-profit organization Morning Star Enterprises. Morning Star has developed individual OISEAU applications for three Calgary Parks locations and the launch is the summer 2013.The application is designed to increase children’s exposure and connection with nature, as well as […]

Smartphones are not only incredibly powerful computing devices, but also sophisticated sensor platforms. Leveraging sensed user context, such as location, to provide targeted advertising has been discussed as a potential application of ubiquitous sensing in the literature, and is beginning to appear in industrial applications. In this proposal we describe the innovations necessary to realize […]

Long checkout lines at the grocery stores and wholesales are one of the biggest complaints about the shopping experience. Soon these lines could disappear when te ubiquitous universal product code barcode is replaced by smart labels, also called radio frequency identification (RFID) tags. RFID tags are intelligent barcodes that can talk to a networked system […]

The purpose of this research is to develop a solution that uses Artificial Intelligence and Predictive Analytics to Improving the Efficiency in Customer Interactions and Investment Selection.

Already the material of choice for electronics for decades, silicon has now emerged as the premier material in photonics and terahertz, offering cost-effective solutions for several applications. In this project, we plan to address the specific problem that TeTechS Inc is facing at this stage of its product development project, which is developing a silicon-based […]

In many industrial and engineering applications, process control plays a central role. Among the possible control strategies, model predictive control (MPC), also called receding horizon control (RHC), stands out for its excellent ability to handle constraints. While MPC has been successfully applied to many industrial applications, further developments are limited when it becomes necessary to […]

The project will attempt to extract useful information from emails as well as attempt to classify emails as meeting intent or not. The proposed project deals with attempting to leverage current machine learning and natural language processing techniques to build a prototype that can solve the above problems. This will benefit the company by not […]

An existing Forex currency trading system has demonstrated a proof of concept on a static data set. The current project proposes to implement the trading system for real-time applications taking advantage of available geospatial information which can influence currency markets. The novel methodology will be based on building a high-dimensional weighted autocorrelation model between real-time […]

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can […]