We are developing a wearable hardware sensor and analysis software. The sensor collects activity and performance data, which is then analyzed by software and used to present feedback that players and coaches can use to improve performance.

Les systèmes informationnels sont désormais au centre des décisions en santé. Ainsi, les dispositifs médicaux, les dossiers cliniques et sociaux, la recherche, etc. génèrent un très grand volume de données chaque jour associé à des évènements interreliés temporellement. Les établissements de santé désirent réutiliser ces données pour différents types d’analyse et les partager d’une façon […]

Modern smartphones and tablets, and many notebook computers rely on multitouch interaction to augment keyboard and mouse input. Multi-touch gestures typically consists of taps and swipes – simple gestures that don’t exploit the full range of technical and human capabilities. In earlier work, we determined that users are willing to learn expert-level gestures, but often […]

Modern distributed applications are becoming increasing large and complex. They often bring together independently developed sub-systems (e.g., for storage, batch processing, streaming, application logic, logging, caching) into large, geo-distributed and heterogeneous architectures. Combining, configuring, and deploying these architectures is a difficult and multifaceted task: individual services have their own requirements, configuration spaces, programming models, distribution […]

High-volume online stream processing, also known as fast data processing, is becoming increasingly important in a number of different commercial sectors. Unlike big data processing in which data is processed asynchronously in batches, fast data processing performs synchronous data analysis that generates actionable results within a specified deadline. One of the key challenges in building […]

Detecting an individual’s transportation mode has an invaluable role in applications, by allowing the application to be aware of user’s current context, and modify their functionality accordingly. There has been numerous research in this area, each using a different approach and achieving different outcomes. The goal of this internship to better understand the state of […]

Ethernet networks are typically best effort networks where traffic flows may contribute on creating network congestion and lead the switches to start dropping packets randomly. This results in unstable network latency that some applications cannot tolerate, especially in the context of 5G networks where delay constraints are very tight. The proposed research project aims at […]

Internet display advertising is a substantially growing industry, where advertising spots are dynamically allocated according the product characteristics and the target audience. This is commonly seen on Facebook or Google. However, accurate audience targeting is still an enormous challenge in practice, and often evokes frustration for advertisers and users. However, with the rapid growth and […]

Ciena, the network specialist, is collaborating with Universities and SMEs in Ontario and Québec in order to develop an ecosystem that accelerates advanced research and development activities in the fields of high-capacity optical transmission systems, software defined networks, business intelligence and process automation. A steady-state of over 50 Masters, PhD and Post-Doc students per year, […]

Building on top of the numerous recent advances in deep learning (and in machine learning in general), we aim at learning high-level, semantically plausible representations of animation data and human from 3D skeletal data in order to automate or replace different tasks of the animation pipeline which require sometimes rigorous human work. Specifically, the tasks […]

The research project aims to develop an effective method that utilizes multiple features to improve mass spectrometry based peptide identification with database search approach. The project is a continuation to the student’s previous research on precursor charge state prediction, since predicted charge state is a novel feature and has a great potential to discriminate the […]

Amid the tough challenge of dwindling oil prices, GE is seeking for new technology to create production forecasting and optimization tools that simulate the real operating environments and optimize across the entire process, providing actionable insights that help producers achieve their cost, production, and environmental goals. The objective of this project is to develop data […]