Radars are being used more and more in critical sites such as airports, military bases and borders for surveillance of huge areas to detect unwanted intrusions. Determination of the type of each target is essential for such systems to identify the nature of the intrusion and avoid false and nuisance alarms. This thesis is focused […]

In this project, we address the problem of designing artificial learning-based methodology adapted to currency exchange risk valuation and classification. The goal is then twofold: 1) design and implement client risk classification methodology based on currency risk exposure and, 2) study the problem of dynamical optimal allocation within currency-risk hedging portfolios using non-parametric forecasting methods. […]

The internship will consist of studying, building, implementing and testing so called factors that are used to characterize the equities, commodities and currencies that the company invests in. These factors can be thought of as characteristics relating a group of securities that is important in explaining their returns and risk. My task will be first […]

Over the last few years, the data revolution occurred with the emergence of “Big data”. In medical field, the term big data refers to large databases in terms of patients and/or information from varied sources. Nevertheless, heterogeneity is encountered in this kind of data. Indeed, data arise from different medical centers. Furthermore, we can’t perform […]

Natural disasters that are associated to the atmosphere (known as atmospheric perils) such as hurricanes, tornadoes and hail, flooding, drought, and wildfire, caused over $100 billion in damage throughout the world in 2015. Insurance companies often cannot afford to be responsible when such catastrophes occur, and so they purchase insurance to protect themselves (called reinsurance) […]

A critical issue in the oil and gas industry is to quantify the composition of fluids flowing back from the hydraulic fracturing process. This quantification is usually carried out by a manual process (frequently via a visual test) to estimate the water and oil produced from a well flow back process. A sample of these […]

Machine learning is the concept where a computer can be trained to recognize data and predict future outcomes based on the trends that exist in the data. This method of analysis has not been used on engine data, specifically in-line oil. Oil is an engine’s lifeblood and a lot of data can be collected and […]

Community hospitals in small towns or rural areas face challenges in delivering health care that will allow elderly members of their community to remain in the community that they helped to build. Using simulation modelling, this project will develop strategies for delivering complex continuing care in rural hospitals that is closely integrated with long-term care, […]

More and more vehicles are outfitted with telematics (e.g. Global Positioning System (GPS)) devices that allow real time data to be collected on driver behaviour. This includes, for example, your location, how long you’ve been driving, your pattern of acceleration and braking, your cornering, and other factors. This project will explore the best way to […]

Wesgar is a factory that produces metal sheets for its customers. After a product is ready, it will be delivered to the customer. The objective of this project is to improve the On Time Delivery. At Wesgar they have different machines in their production system. These machines are able to process different products based on […]

Les inondations constituent les catastrophes naturelles les plus fréquentes dans le monde et aussi les plus désastreuses en termes de dommages matériel et du nombre de victimes. Au Canada, les compagnies d’assurance commencent à offrir des protections contre les inondations. Certaines protections sont offertes pour les inondations causées par les événements de pluies intenses et […]

Due to the current economic downturn, especially the lower crude oil price, the drilling success rate become the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Deep Treasure Corp wishes that through the combination of mature hydrocarbon prediction techniques and […]