Monitoring is fundamental to network management. Accurate and timely statistics at different granularities (e.g., per-user, per-device etc.) are essential for many network management applications (e.g., traffic engineering, failure detection etc.). Contemporary monitoring solutions (e.g., Cisco Netflow) are proprietary, inflexible, and incur a large up-front licensing and setup cost. Alternatively, dedicated hardware devices for monitoring can […]

With the growing application of learning-based technology in image recognition, speech translation, and other back-end systems like ad advertising, artificial intelligence (AI) has finally moved from research labs to real business. As AI moves closer to reality, it is expected to help us more in more personalized and even critical contexts, like smart home, autonomous […]

Impending increase in senior population in developed countries is expected to overwhelm the health care system carry a significant social and economic cost. Number of solutions, that leverage ambient intelligence, have been proposed to help aging in place. HomeEXCEPT is working on a non-intrusive solution using a temperature sensor. The research will help in identification […]

On retrouve de plus en plus de robots qui collaborent avec les travailleurs pour augmenter la productivité des entreprises. Dans le contexte industriel, ces robots sont souvent utilisés pour saisir des objets et effectuer des tâches avec ceux-ci. En général, les robots sont équipés de caméras leur permettant de voir et saisir les objets présents […]

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At […]

In our data-saturated world, people could greatly benefit from understanding data in their daily lives through visualization. Currently, many visualizations are situated out of context from the physical world, leading to a loss of data-richness gained from in-context analysis. Using tabletop robotic devices and projectors, Dr. Jansen’s research team are developing infrastructure to generate and […]

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 […]