This proposal introduces a method for finding corresponding regions between 3D shapes automatically. Existing methods require users to provide several point-to-point correspondences, but are not capable of solving correspondence problems when we have a large amount of 3D objects. I propose to resolve the correspondence problem by studying the relationship between functions on shapes, rather […]

Research and develop a machine learning application to detect fraud in health insurance claims. The project will seek to understand how machine learning can contribute significantly to health insurance fraud detection, and develop a methodology to yield the best results using available data and current machine learning best practices. The output of the project will […]

Our environment contains microbes that might prove fatal without our immune system. When a microbe breaches one of our body’s physical barriers (e.g. skin), the immune system recognizes key molecular signatures (called epitopes) in the invader and dispatches potent defence cells to the site. The first step, recognizing the threat, is complex, but deciphering the […]

The dramatic trend of the first decade of the 21st century in the information technology industry was the emergence of society?scale systems: online services such as Google, eBay, iTunes, Yahoo!, Twitter, and Facebook that routinely served millions of simultaneously?connected users. These systems gave rise to entirely new programming models and systems problems: management of the […]

This project is to build the educational peer-to-peer infrastructure for young high schoolers or athletes to access services and goods from the experts in the respective field. For example, organizing or providing all the details for any sport’s session conducted by skilled instructor, and the system for instructor to be able to verify the session’s […]

For nearly fifteen years the graphics pipeline for processing and rendering has been dictated by graphic~ hardware. We propose to explore the possibilities for applications and new data structures opened up by Intel’s multi-core and other hardware projects to allow programmers to redefine the gr::phics pipeline in softv,ar? The University of Victoria Graphics and Games […]

International Characters has developed a variety of software tools that, when used together, can produce very?high?speed and high?quality text processing programs. These tools are usable only by specialist experts: they are not robust, easy to use, or easy to extend. The goal of this project is to bring these tools together into a single application, […]

Our proposed research investigates how K-12 teachers learn and customize digital classroom tools and learning management systems and how they share this information with each other. In particular, we will be working with our partner Microsoft to investigate the use and customization of the recently developed OneNote Class Notebooks software that is increasingly being used […]

Ce projet est une preuve de concept sur l’utilisation de l’intelligence artificielle afin d’améliorer l’efficacité des agents d’un centre d’appels. Ce système analysera la voix de l’agent afin d’extraire certaines caractéristiques tel que le nombre de mots par minute ou le ratio entre le temps de parole de l’agent et celui du client. En plus […]

Buildings represent up to 40% of primary energy consumption. To optimize that energy cost vs. the comfort of its occupants, Facility Management (FM) relies on data from sensors, and on automation, to increase efficiency. The majority of existing buildings however have limited automation, so it is up to Facility Managers to interpret and act upon […]

Mental health issues affect a large percentage of the military population. The HERE4U Military Version will be an instant messaging smartphone application to connect military family members (adults only) who are dealing with mental health problems to a mental health counseling solution that uses the IBM Watson cognitive platform. Being able to engage with Watson […]

This collaborative project with Rimeware will investigate out-of-band measurement approaches that can passively monitor the network traffic and provide rich detailed network information, e.g., latency, loss, route path, etc. The goal is to build a programmable system for accurate, generic, and robust network measurement. It includes two sub projects. In the first sub-project, we will […]