Intelligent surveillance for event detection

We aim to develop a video surveillance system that detects and reports events of interest to users. Traditional way is to use RGB cameras to operate in constantly and evenly illuminated areas to detect simple events. The challenge is that visual characteristics of an unconstrained scene are unstable due to illumination variations. In this project, […]

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A Place to Reflect and For Every Second in Time

A Place to Reflect and For Every Second in Time are a pair of interactive art installations that will make use of projection technology and interactivity. A Place to Reflect will debut at the Nuit Blanche contemporary arts festival in Toronto and For Every Second in Time is slated for Toronto in 2012. Through the […]

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Profiling vendors and products using temporal machine learning

Atlantic Lottery Corporation is owned by four Atlantic provinces. The profits generated by the corporation go back to the provincial general funds for the betterment of the community. A primary goal of the project is to improve the profits of the corporation through suggesting more efficient logistical planning. The corporation’s data mining and knowledge discovery […]

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Data supervision and security in large data repositories

Ensuring data security in large data repositories is a challenging task as the volume and the nature of the data to secure constantly evolves. Large repositories are mostly composed of documents expressed in natural language and as a result they are a rich source of information. Given the importance of personal data protection, this proposal […]

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Appropriate sensor signal analysis and abstraction in physical activity game design

The intern will be involved in the research of state of the art detection of activity from common devices that scales with the sensor capabilities of these devices (i.e. the most basic being accelerometers moving up towards camera detection of physical activity). The intern will strive to create algorithms preventing false positives from occurring and […]

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Applying Deep Learning to Optimize 3D Pose Estimation from Monocular Video

REP is an athlete development platform for building better, and healthier athletes. Inside the REP platform are computer algorithms that can “see” how people move, and the accurately estimate how they are moving in three dimensions. The REP platform can then compare models of how you move, to models of how experts move. This comparison […]

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An Integrated Mobile Communication Environment for Healthcare Professionals and Patients: Analysis, Prediction and Recommendation

Think Tank Innovations Ltd is a company active in the healthcare domain. The company is interested in expanding their current working system Sharesmart application by benefiting from advanced technology to develop an integrated environment for healthcare solutions in order to better service a wider community locally and globally. Students to be involved in this project […]

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Investigating how user interfaces impact scalable network displays

IOT technology is a brand new, and rapidly growing field. Currently, there are no best practices published in the design of real-time, dynamic network displays. Our project focuses on developing and testing new business processes, user personas, and design-guidelines associated with these types of displays in a real-world environment. The findings from this work will […]

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Modeling Human Cell Phosphorylation Network

It is believed that defects in the human cell phosphorylation network are related to at least 400 different diseases such as Cancer, Alzheimer, and Diabetes. The goal of this research is to model the components of the cell phosphorylation network (e.g. kinases, substrates, phosphatases, and SH2-PTB domain proteins) and their interactions, and ultimately to build […]

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Advanced Analytics for Credit Unions

The worldwide data explosion would emphasize on importance of knowledge discovery from massive, heterogeneous, and dynamic volumes of information (Big Data). Similar to other industrial organizations, Credit union industry deals with massive amounts of structured (e.g. customer demographics and transactional data) and unstructured (e.g. email, social media data, comments) data which they have not utilised […]

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Intégration de la réalité augmentée et de la réalité virtuelle dans un contexte de formation

Les systèmes de réalité augmentée (RA) et de réalité virtuelle (RV) ont récemment été implémentés dans divers secteurs professionnels, notamment dans les domaines de l’éducation et de la formation. Ces systèmes permettent, aux moyens de casques et d’écouteurs, de plonger les utilisateurs dans des environnements réels pour la RA, mais qui comportent des éléments virtuels […]

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Agent TALStat

Amélioration des performances et du processus de mise-au-point d’agents virtuels (AV) selon une approche hybride combinant du traitement automatique de la langue ou TAL (natural language processing), de l’apprentissage statistique (machine learning) et du génie cognitif à base de règles (les outils et API de Coginov). Notamment, nous expérimenterons l’utilisation de synonymes en contexte et […]

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