The overall objective is to design a learning system that takes a training set of acoustic signals and produces a classifier that can identify the category of the acoustic signal, out of a small number of categories. We have already found that it is important to consider the factors of variation that can influence the […]

This doctoral research will study the mechanisms put in place by organizations facing very dynamic environments to manage projectportfolios when the uncertainty level is high. The theoretical basis will include the literature on Project Portfolio Management,Organization Theory (Weick’s Sensemaking) and Strategy Theory (Dynamic Capabilities). The unit of analysis will be the processes put in place […]

Autonomic Computing Systems are systems which are capable of self‐configuring, self‐healing, self‐optimizing and self‐protecting themselves, by constantly monitoring the current state of the system, determining if the state of the system must change and how the state must change, and finally taking appropriate action in order to bring the system to the desired state. The […]

In conjunction with Iunctus Geomatics Corp, we propose to develop a storage system for collected satellite image sets. The properties of typical sets of satellite images will be used to reduce the overall storage requirement for the image sets. This is expected to lead to reduced hardware requirement for storage, as well as a reduction […]

We aim to use 3D stereo display to visualize a data bank of characteristics common to spiral galaxies. We plan to use an immersive environment at the Industrial Technology Centre's Virtual Reality Centre (VRC), i.e. a "half]cave" in which the user walks around and interacts with the data. Our approach will use advanced computer algorithms, […]

Softree Technical Systems Inc has been providing innovative software solutions for surveying, mapping and engineering for more than 15 years. Softree's main mission is to provide high quality software applications in land development, civil engineering and the naturalresource industries. Recently, the company has developed a robust software to process the terrain data gathered from a […]

The project shall explore the cutting-edge research and technologies in monitoring daily activities using a set of sensors deployed in the house. The objective of the research is to provide a feasible solution for improving care for patients with chronic disease, while significantly reducing the healthcare cost. We will conduct a comparative study on the […]

Currently, in the oil and gas industry, document handling tasks are performed manually. Intellog is developing a search engine for handling the documents to various users in this domain. Due to complexity of the search task and variety of the users, development of a usable user interface for the search engine is challenging. In this […]

The proposed study explores the information practices of new immigrants in large, urban cities in Canada with respect to their choices regarding mobile phone services. The research goals are to (1) assess how mobile phones fit within the information practices of newcomers (2) understand when and where newcomers get information about mobile phone services in […]

International Characters, Inc., based on research at Simon Fraser University, has developed high-performance software techniques for reading text files in various formats into databases. However, programming using those techniques can be difficult and error-prone. New research has shown that this form of programming can be automated to a considerable extent. This project is to evaluate […]

This research internship is centered on the discovery of specific behavioral trends among vast collections of user data; more specifically,the identification of cheaters among a community of social online gamers. The current approach to fraud detection, taken by Backstage Technologies Incorporated, is highly manual and heuristic. We plan to experiment with modern data mining and […]

In this project we will translate and test artificial intelligence techniques to segment medical images with the capability to perform more accurately than conventional methods. The technique is expected to largely eliminate tedious manual delineation of suspicious objects in medical images or, at least, significantly reduce the intensity and frequency of manual modifications traditionally preformed […]