Ce projet de recherche ancré dans la tendance des « villes intelligentes » vise à contribuer au développement d’un Abribus Intelligent (AbI) en misant sur les technologies de l’Internet des Objets (IdO). Il s’agit de transformer un abribus en un environnement connecté qui permette de détecter automatiquement et en temps réel les usagers à proximité […]

Speech separation – isolating different speech sources from a given mixed input signal – is a fundamental task in speech processing. It is a fundamental step in many applications, such as automatic speech and speaker recognition. However, speech separation is also among the most challenging tasks in speech processing. Recent studies involving deep models to […]

Canadian urban populations are increasingly aware of climate change and generally support mitigation strategies. But understanding how urban form impacts energy use and emissions is challenging. We propose to design, deploy and evaluate digital media tools that support collaborative exploration of urban design scenarios where some participants are joining from remote locations. Key elements of […]

Automatic analysis of sport videos is an attractive research area in computer vision that is driving the sport analytics towards a more technological edge. By automatically analyzing sport videos, lots of information could be drawn that benefits the teams, coaches, referees, players and even the fans, such as: extracting strategy of the game, technique and […]

Le projet vise à comprendre les facteurs qui influencent les spectateurs d’un jeu compétitif à interagir pour influencer le jeu en fonction de leur partisanerie pour l’une des deux équipes sur le terrain. Avec des tests utilisateurs où on recrée l’environnement de jeu, on mesurera physiologiquement ainsi qu’à l’aide d’entrevues, l’intensité de l’engagement que le […]

L’apprentissage automatique est une tâche d’intelligence artificielle où un algorithme apprend une certaine tâche à partir d’exemples. Ce projet a pour objectif de réduire autant que possible la quantité de tels exemples qui doivent être vus par un algorithme pour atteindre des niveaux de performance acceptables. La raison étant que ces exemples sont souvent produits […]

Blockchain is a decentralized and immutable data structure. The information stored on blockchain is tamper-resistant, immutable and transparent. Blockchain is an interesting platform for managing digital certificates without a central authority. Because paper certificates can be easily faked or tampered with modern computer skills. Additionally, using a central authority for issuing distributing certificates is inefficient. […]

Intern will develop new methodologies based on system level logs to detect malicious activities in virtualized environments. To achieve this goal, intern must review the state-of-the-art and proposes new solutions to overcome the shortcomings of currently existing methodologies and introduce new functionalities. The proposed solutions need to be validated and published based on experimental results. […]

In today’s competitive market, customer service has become essential to any company willing to expand and increase its business. Companies cannot afford to fall short of consumer expectations. With the recent progress in Artificial Intelligence (AI) and the impressive results in different industrial areas, companies are adopting AI techniques for customer service. Most of the […]

Sensors that track human movement are becoming more and more popular in all kinds of applications including healthcare, sport and general human movement. However, traditional sensors generally have problems tracking individuals indoors and they are not very accurate when measuring subtle movements. Using innovative technology, new wearable sensors have been developed to track human movement […]

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

Our project, Toronto’s City Diplomacy: Arts, Culture, and Heritage, brings together scholars and practitioners in the cultural disciplines to consider how the Greater Toronto and Hamilton Area (GTHA) engages in cultural diplomacy and cultural networks locally and globally. With Hot Docs Canadian International Documentary Festival (Hot Docs) as our non-profit partner, this project examines how […]