Deep neural networks have demonstrated state-of-the-art modeling accuracy on a wide range of real-life problems, with some cases surpassing human performance. Despite the promise of deep neural networks as an enabling technology for a large number of industries and fields, there are two particular key challenges in the design of deep neural networks in real-world, […]

Within a tiered or zoned architecture, new business constraints for regional data residency, imply a need for new architectural patterns. These constraints are not arbitrary: they arise directly from customers demand to ensure their confidential data stays within their defined borders unless required otherwise (e.g. data originating in the U.S. is intended for an E.U. […]

Mining operations evaluate tunnel stability by looking at orientations of exposed rock faces and extrapolating the underlying rock formation. The most widespread and traditional method for determining these characteristics involve hand measurements with static tools. This process is both time intensive and prone to error. Additionally, it may be dangerous to measure rock faces that […]

Ce projet propose de définir les enjeux socio-environnementaux et socio-économiques reliés à la présence de microplastiques (MP) marins dans l’estuaire et le golfe du Saint-Laurent, une région hydrologique complexe sous-étudiée vis-à-vis cette problématique. Ceci permettra d’orienter les décisions visant à protéger l’environnement tout en soutenant les secteurs maritimes, notamment ceux reliés aux ressources marines commerciales. […]

We will develop an algorithm for a small unmanned glider (a plane-shaped drone) to soar autonomously. Gliders gain energy from the atmosphere by flying in circles in streams of rising air, called thermals. This allows them to stay aloft for extended periods of time, in the range of several hours. Detecting thermals, as well as […]

Technologies using vocal commands are very useful in situations where hands cannot be used (e.g. wearing gloves or in factory settings to operate complex machines). The performance of automatic speech recognition systems decreases significantly in the presence of noise or reverberation (i.e. echoes on objects and walls). This projects aims at improving the performance of […]

Active vision or perception is one that can manipulate the viewpoint of the cameras in order to investigate the environment, and get better information from it. It mostly encourages the idea of moving a visual sensor to constrain interpretation of its environment. This research in active vision is concerned with determining the 3D pose and […]

More and more companies are choosing to automate various aspects of their customer service using chatbots. While these chatbots are still in their technological infancy, they currently provide useful customer service to many people around the world. They will continue to become more desired by companies as a single chatbot system can engage millions of […]

This project involves the design and characterization of Novel Thermal Storage Materials for Human Thermoregulation involving low-melting polymers in a highly crystalline polymer matrix. These materials when incorporated into fibers or coated on fabric can absorb excess body heat in hot weather thus promoting thermal comfort and reducing heat stress. This 4-month project will involve […]

Visual attention refers to the mechanism of dynamically and selectively focusing on a subset of the visual input stimuli for detailed analysis, which is part of the visual perception process of the early primate vision. It has been successfully integrated into the design and implementation of many artificial visual recognition systems with applications to image […]

Computer simulation is a widely used tool for design and analysis of various aspects of modern power systems. One area where simulation has been invaluable is the study of protection systems used to avoid catastrophic failures and blackouts, by rapidly detecting and shutting down faulty equipment in the system. High-speed data networks are becoming an […]

The main objective of this project is to develop a retail cluster detection algorithm and improve the accuracy of the identification. The final deliverable will be an algorithm that runs through Google dataflow that will be able to ingest a month of users’ location breadcrumbs and output user-location clusters. The output of the algorithm will […]