Copy number variations (CNVs) are an important type of structural variation affecting pathogenesis of complex diseases, such as inflammatory bowel disease (IBD). Accurate detection of genomic regions with CNVs is crucial for understanding the etiology of IBD, as these regions contain likely drivers of disease development. Microarray technology provides single-nucleotide resolution genomic data and is […]

This project integrates building information models (BIM) with RiskLogik’s proprietary risk and resilience solutions to progress the design of complex buildings. This is accomplished by supporting the improved design of the interrelationships between building systems, such as mechanical, electrical, communications, and security systems and the operations that reside within the buildings. As a result, performance […]

Rivers in much of eastern Canada flow through regions comprised of cohesive glacial sediments, including glaciomarine clays and glacial tills. Given the glacial history of Canada, many if not most of its rivers can be characterized as semi-alluvial. Management of these rivers in terms of sediment load is a difficult challenge, because relatively little is […]

The objective of the project is to develop an automated monitoring system to accurately and reliably detect deterioration within gearboxes operating on an industrial forming line. This will involve reviewing, developing and testing one or more methodologies based on vibration signal measurement and analysis. In particular the work will focus on exploring existing potential methods, […]

Frequent usage patterns generated can provide valuable information for several applications such as platform restructuring and recommendation. In this project, we aim to compare different practical methods, and to investigate the effect of user identity and user intention information on them. To that end, a technique and a framework need to be developed, in which […]

Monte Carlo simulation methods are commonly used as a risk management tool to estimate the risk exposure of financial asset portfolios. However, the traditional brute-force Monte Carlo (BFMC) method is often very timeconsuming, which makes it difficult to serve the risk management needs of modern insurance industry. An alternative approach, the least-squares Monte Carlo (LSMC) […]

I am to import ten year’s worth of amassed historical data on news events, price movement of equities and public sentiment metrics to Microsoft Azure platform for study and analysis through the latest Data Mining techniques with an Economics point of view to uncover the hidden correlation and casualty between events and price movement of […]

The purpose of this project is to develop a highly accurate e-commerce recommender system able to select products across databases and recommend them to prospective customers both in real-time and off-line. Leveraging the historical inventory of sold products, browsing history, purchase history, and expressed preferences helps the recommender to formulate highly accurate product suggestions to […]

Traditional design method for the foundation of the transmission poles simply assigns a standard set of depths based on the length and diameter of poles. Although, this method has proven to be conservative and reliable, but it does not incorporate site-specific soil properties, water table, and weather conditions in its calculations. As a result, a […]

During the internship in collaboration with RootCellar Technologies, research will be conducted towards the design of an adaptive machine-learning solution and its integration with the existing RootCellar framework for automated evaluation and management of information security risk in small and medium size enterprise networks. The existing framework is very advanced in terms of end-point risk […]

Predicting the quantity of mineral (gold, coper, etc) or hydrocarbon (oil, gas) extracted from a given deposit is difficult. One concern is the uncertainty in the resources underground. A few initial wells or drill holes give us access to an estimate of the quantity of resource, but there is great uncertainty because sampling can be […]

The following proposal is to research and develop Net Zero Energy (NZE) capable sustainable design strategies for Legado, a large building development planned for Griffintown, Montreal. Two interns will work with 7983859 CANADA INC. under the supervision of professors from the School of Architecture at McGill University and the Centre for Zero Energy Building Studies […]