Classification of Acoustic Signals using Deep Learning Architectures

The classification of acoustic signals whose factors of variation are due to different atmospheric and sound propagation effect is a challenging problem. The internship will explore new learning algorithms for this application, which have the potential to capture some of the complex structure in the data.

Read More
Geo-spatial Data Mining Applications in Marketing

The project will develop methods for constructing profiles and predictive models for geo-spatial data. The socio-demographic profile will be developed for the geographical areas of interest. In addition, the models will be developed to identify areas with high potential; for acquiring new customers. The targeting of these areas may be conducted through unaddressed direct mail. […]

Read More
Promoting Healthy Lifestyles with Disease Simulation Models in Community Pharmacies: The Healthy Option Study/L’etude Option Santé

The primary objective of this study is to demonstrate the feasibility of training graduate students, with at least a bachelor’s degree in health sciences or a related science, to complete health screenings in community pharmacies. These screenings will include completion of a diabetes and CVD risk profiles developed by Clinemetrica and the McGill Cardiovascular Health […]

Read More
Understanding and Mitigating Botnet Threats

A botnet is a generic term used to describe a network of machines infected and controlled remotely without their rightful owners' knowledge. The current generation of bots (i.e. Storm Botnet) leverages fairly complex command and control (C&C) systems using existing Peer-to-Peer (P2P) overlay network structures. Thus, chasing down botnet C&C structures has become a futile […]

Read More
Production of Sex-specific Bovine Embryos Using Immunoselected Spermatozoa

The development of an effective technology that permits the selection of sperm bearing either a X or Y chromosome without damaging fertilization capacity of the sperm and embryo development is of great interest in animal production because it will permit the farmers to chose the sex of offspring when breeding their animals. In order to […]

Read More
Resilient software update

In a typical scenario, a large heterogeneous software system, installed on many different sites and composed of several interacting components, exchanging data with several different protocols, must be updated to correct some defects, add new functionalities, or replace some obsolete components without breaking the system and while keeping its dependability. This research project aims at […]

Read More
Multi-channel GNSS Signal Simulation Using CPU/GPU Platforms and FPGA-based Digital Signal Processing Cards

Currently the implementation of navigation information systems – sometimes called “GPS” or GNSS (Global Navigation Satellite Systems) for convenience – is undergoing some significant transitions.  Additional satellite constellations are being proposed and fielded (Glonass, Galileo, Compass, SBAS) aggressively.  In addition location technology is rapidly being incorporated into the mass-market consumer space thru implementation in cellular […]

Read More
Modulation of nerve growth factor as a target in arthritic pain

  Arthritis is a debilitating disorder characterized by chronic inflammation and persistent pain. This project aims to uncover ways of reducing the pain and discomfort felt by people afflicted by this disorder.  A number of key points will be addressed through this project. Firstly, we will gain a better understanding of the possible neurological component […]

Read More
Reflections of a successful career

  Management scholars and practitioners have long recognized that in today’s knowledge economy, an organization’s competitive advantage is determined by how quickly and effectively knowledge can be transferred and shared. The knowledge economy, however, is driven by an aging workforce that is anticipated to retire in record numbers in the coming decade. Despite the impending […]

Read More
Parameter Uncertainty and Model Adequacy for GLMs Applied to Property/Casualty Insurance Data

Accurate forecasting is of crucial importance in managing insurance risks and ensuring a solvent and profitable operation. In recent years the property/Casualty insurance industry has adopted generalized linear models (GLMs) to improve the fit and prediction accuracy of their insurance portfolio models. Yet, the interdependence between the different insurance covers included in packaged products, such […]

Read More
Research and implement a software module for real-time data acquisition, visualization and analysis

Develop a software module for real-time data acquisition, visualization and analysis of data extracted during real time 3D physical simulation allowing to perform regression testing comparison of different Vortex versions, to find differences in system parameterization of similar mechanical system or to compare results from other simulation platform like Matlab. The result of the project […]

Read More