In the world of today’s internet, ‘web notifications’ are becoming increasingly common. As opposed to a traditional search which is executed once against entered keywords, a web notification search is performed on a regular or continual basis, keeping track of available information changes in real time. The user is then notified once an item of […]

Non-invasive imaging techniques using near-infrared (NIR) light yield extensive information on cells and tissues and can reconstruct images of the deep interior of biological tissues. The place occupied by NIR imaging within the multidisciplinary field of molecular imaging has been growing in recent years. This is, in pat, because of its intrinsic advantages (such as […]

This internship is the first in a series of four which Kinexus is undertaking with ACCELERATE BC which will support its overall ambitious goal of creating high resolution maps of internal cell communication networks that are gender, age, tissue and disease-specific. These maps will be needed for identifying disease diagnostic biomarkers that are phospho-sites and […]

Motion Capture (mocap) is a very powerful technology that allows one to digitize natural motion and use it in many areas. Currently, mocap is expensive and intrusive. The core of this project is to develop a pipeline for semi-automatic extraction of 3D motion data from ordinary video sequences. Besides being able to avoid many of […]

This project with Koolhaus Games, an electronic game developer, aims to use state-of-the-art natural language processing technology as part of a novel and innovative social networking and social gaming engine. Social networking games are popular, particularly among children, and the team hopes to use natural language processing technology to provide a transparent, multi-lingual interface for […]

In “shared control” of a machine, a user works cooperatively with an intelligent system to continuously direct or steer the machine’s operation. In this project with Spark Robotics Technology Inc., a provider of products and services for the defense and security industry, the research team will apply this concept to the problem of navigating or […]

There are certain features of skin lesions or moles that are indicative of cancer. Texture (spatial variation of colour/intensity) or patterns is known to be one of these features. This research seeks to quantify this textural information in order to improve the performance of methods to automatically diagnose melanoma. Currently, dermatologists are very proficient at […]

Increasingly, global business relies on the exchange of information between web services. It is crucial that these services correctly exchange messages. A computer science student from the University of Toronto will work with IBM at their Toronto Centre for Advanced Studies on a research tool that monitors "conversations" between web services to ensure that the […]

The aim of the current project is to research ways of dynamically “crawling” the Internet to collect enough information to be able to make a confident conclusion of whether a particular wep-page or blog is spam. This is proposed to be done by continually maintaining a `backbone' subset of the set of all web pages […]

The rapid propagation of Internet into nearly every aspect of our daily life, together with the increase in volume and sophistication of network attacks, puts a special emphasis on the security of network systems. Currently, security modeling and simulation is one of the widely acknowledged methods for network security evaluation. However, in spite of its […]

Canadian Pacific Logistics Solutions, a company specializing in delivering performance solutions to supply chains, logistics or facility management problems, is partnering with an intern from the University of Lethbridge to analyze the delivery of whiskey by railroads. This project will analyze a bulk liquid whiskey rail car fleet and determine the number of cars needed […]

Risk and portfolio management models arising in finance can be formulated and solved as optimization problems. Credit risk models are especially challenging for practical implementation due to the fact that the portfolio’s loss distribution is not known exactly. To solve such problems, special mathematical, algorithmic and implementation techniques are required. This internship project with Algorithmics […]