Stochastic inversion of geophysical and petrophysical data to develop an integrated 5-8 Block Model

This project aims at exploiting existing geophysical and petrophysical data to develop an integrated geological model of the 5-8 block of the Raglan mine in Northern Quebec. In contrast to previously conducted analysis of individual datasets, a weighted stochastic inversion of combined datasets will be conducted. Determining the synergies between the diverse rock parameters will […]

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Understanding UV Dose Distribution and Reactor Performance Using Bioassay Data

Ultraviolet disinfection has been widely applied for drinking water and wastewater treatments because of its effective inactivation of many waterborne pathogens and its minimal formation of disinfection by-products. The most implemented method for validation is biodosimetry, which involves bioassay to yield a simplified UV dose value. This dose value is called reduction equivalent dose. However, […]

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Efficiency Analysis of UV-Initiated AOP using Computational Modeling

Advanced Oxidation processes are exploited for treating micropollutants in drinking water.Conventional UV-H2O2 based AOPs generate hydroxyl radicals that can directly attack and degrades the most persistent pollutants even at very low concentration.However, these processes are energy intensive and kinetically inefficient as the amount of UV energy used to generate hydroxyl radicals is minimal. To make […]

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The Evolving Legal Services Research Project, Stage II

How can public legal education and information help Canadians get justice in our legal system? With the demand for publicly-funded or low-cost legal services far exceeding the supply, public legal education and information (PLEI) is filling an increasingly larger role in meeting the legal needs of people with modest means. Yet we know relatively little […]

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Robust identification of protected heath information in unstructured data

A large amount of health-related data is available only in unstructured form (“free-form text”). To share this data for secondary purposes, it is necessary to de-identify it to protect against inappropriate disclosure of personal health information (PHI). PARAT Text is Privacy Analytics’ de-identification software for unstructured data. It automatically discovers and marks PHI in a […]

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Real-time Special Effects Visualization (RTFX)

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 […]

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Housing reconstruction cost model

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, […]

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Exposure at Default methodology enhancement and credit portfolio optimization

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 […]

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User Demographic and Interest Prediction

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 […]

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Prediction and optimal strategies in equity algorithmic trading

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 […]

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Conductance detection using granular films

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 […]

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