Computer hardware and software have revolutionized the film production process and brought about a world of visually rich, immersive videogames. These days, computers are used both in the process of developing preliminary visualizations of cinematic sequences (known as previsualization) and on-set to preview computer-generated environments and visual effects (known as virtual production). These techniques allow […]

Located in Mexico City, La Villa de Guadalupe is very important place for Mexicans and it is the shrine where the original painting of Virgin of Guadalupe is preserved. She appeared to a native Mexican, Juan Diego in 1531. Both, the sacred place and the Virgin are considered the most important icons for the Mexican […]

This project is designed to analyze a list of insurance policies and past claims, and to determine which variables have had a significant influence on the cost of house reconstruction in the case of insurance claims. It is also planned to use a hedonic pricing model to include, where appropriate, the influence of location variables, […]

A fundamental activity of a commercial bank is the lending of capital through various credit instruments such as direct loans to consumers, mortgages, and lines of credit. Efficient lending is at the core of a well functioning economy. The risk in lending is commonly referred to as credit risk and represents the risk of loss […]

Addictive Mobility is the leading Big-Data online advertising company in Canada. It uses Real-Time Bidding (RTB) platform for online display advertising in mobile devices. In this domain, a number of companies compete with each other to display a specific Ad to a customer within a specific time. Thus, in such a competitive system, the goal […]

Trading is increasingly moving from the human world to its electronic counterpart. In this new environment the effects need to be properly understood and analyzed. Most recently the Canadian market as other developed capital markets has experienced a reduction in direct trading costs for investors but at the cost of an increase in indirect trading […]

Universal NanoSensor Technologies (UNS-Tech) develops and commercializes microfabricated conductivity detectors. In this MITACS project, UNS-Tech will partner with Prof. Cynthia to explore new detector architectures based on nano-particle and nano-shell films. The results will be analyzed and the findings will be published in scientific journals. The intern participating in this cluster will benefit from this […]

This project will develop inclusive design standards and methods for Oxford Properties to assess and improve the accessibility of their residential, office and retail property holdings and to promote customer service excellence for seniors and people with disabilities in Oxford properties across Canada. Areas that will be encompassed by the new design standards are: signage, […]

The objective of this project is to develop a system that provides video recommendations to the user based on the content of the video they are currently watching. Existing methods generally create their recommendations based on the title or tags of the video or on the viewing patterns of other users who have watched the […]

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, […]

Maintenance of baggage handling equipment, passenger boarding bridges and aircraft support equipment currently costs the Pearson International Airport (PIA) $10M annually. Much of this cost is associated with routine inspections, replacing drives, lifts and similar industrial process equipment. Current maintenance undertaken by PIA is reactive; replacing or repairing parts on the equipment after break-down. This […]

The intern shall endeavour to develop a vehicle detection system for aerial satellite views with a reasonable accuracy and a reasonable execution time for a small urban area of 100 sq. km. The intern first will train, test, and evaluate a machine learning engine to automatically recognized the vehicles of interest in aerial satellite imagery. […]