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 […]

This Mitacs Project’s aim is to calibrate and test a model to assess and improve the employee’s engagement. The work will focus in define a methodology to identify the necessary data for the calibration and the installation of a model (a set of equations) for improvement of a factory. This project will benefit both: the […]

Developing smart technology determines the future economy of societies nowadays. Electronic nose is a device that audits the chemicals and transforms it to human odor perception. One of the most challenging steps to transform electronic nose to smart nose is its patter recognition machinery, because electronic nose data are imprecise and noisy. This pattern recognition […]

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 […]

Insurance companies heavily fund marketing campaigns such as, for instance, customer retention or cross-sell initiatives. Uplift modeling aims at predicting the causal effect of an action such as medical treatment or a marketing campaign on a particular individual by taking into consideration the response to an action. Typically, the result of an uplift model is […]

This project aims to further develop cost-effective methods for characterizing fluid flow fields in high-energy tidal channels, with a focus on use of low-profile drifters to calibrate and validate numerical models of ocean flows. The project will focus on the Finite-Volume Community Ocean Model (FVCOM) used by Acadia and Luna Ocean, primarily for tidal energy […]

The University of Alberta proposes to hire an industrial postdoctoral fellow funded through the Mitacs Accelerate program to develop enhanced constraint equation solution methods and 3D graphical authoring tools in partnership with a local company in Edmonton, Alberta. The field of application is educational web software for creating randomized scaled mathematical drawings, delivered in an […]

Liquefaction is a destructive phenomenon which usually takes place after an earthquake in areas with water-saturated soil or sand. During the liquefaction process, soil loses its strength and can no longer support structures and buildings which often leads to their destruction. To prevent damages associated with liquefaction, it is critical to study this phenomenon and […]

The QWeMA division of CANNEX develops solutions for the financial and insurance industry of North America. Our analytics play an important role in determining the value proposition of investment products. Our solutions help the financial community and public through their financial advisors to be able to make informed decisions. We work at the intersection of […]

Energy companies are in the business of turning energy from one form into another. For example, a gas-fired power station turns chemical potential energy stored in the natural gas into electrical energy. A natural gas storage facility allows energy (held in the form of natural gas) to be stored at one point in time and […]

This project concentrates on the scenario optimization method which does not need to make any assumption for the underlying asset distribution and directly incorporate such uncertainty into the objective or constraint functions through stochastic programming. The scenario optimization is performed under different parameters and constraints while Markowitz and Black-Litterman model are taken as the benchmarks […]

The project is a partnership between Polytechnique Montréal, HEC Montréal, UQAM and JDA Canada. JDA Labs is investigating new approaches to help incorporate “big data” science and analytics into everyday supply chain decisions. It relies on new approaches that employ sensor technologies, new analytic capabilities and simulation techniques to not just sense and respond, but […]