Sentiment Analysis in Dialogue Systems

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 […]

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Optimization and Development of Bombardier Data Based Engineering Design Tools

The proposed research will involve optimizing and improving engineering operations within Bombardier based on data collected from flight recorders and aircraft operators. This will involve developing new processes in maintenance tracking (i.e. tracking aftermarket spares sales, scheduled maintenance, accessing direct maintenance costs per component, etc.), and implementation of a stress tools suite for in-service structures […]

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NOVEL PHASE CHANGE MATERIALS FOR TEXTILES

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 […]

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Dynamic Pricing for Optimizing Demand and Profitability

In this research project, a surcharge optimization algorithm will be developed to help the partner company to dynamically determine the premium charged for order pickup. The objective of the project is to smooth the demand curve for the order pickup timeslots: popular timeslots are congested, making it harder to deliver a positive experience, and other […]

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Adaptive Artificial Agent for Smart Home Thermostat

How can we make the connected home smarter and more energy efficient? Ecobee’s research aims to address this question by making cutting-edge improvements to its smart home thermostat. There is huge potential to save energy in the residential heating and cooling space – homes with an ecobee smart thermostat can save up to 15% of […]

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Visual attention in deep learning for detection and classification

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 […]

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Analyse d’impacts économiques et fiscaux d’une politique d’achat local par des organismes du secteur public à Sherbrooke

Le projet chercherait donc à établir si l’achat de biens et services locaux par les organismes de la ville tels que le Centre Hospitalier, l’Université de Sherbrooke, la mairie, entre autres, serait juridiquement possible et économiquement intéressant. L’intérêt économique pourrait concerner les organismes eux-mêmes : est-il plus intéressant pour l’acheteur de s’approvisionner localement plutôt qu’avoir […]

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Water Penetration of Brick Veneer Walls Made of Clay Bricks with Large Voids

Rain water penetration can cause severe damage to building materials and facilitates the growth of mould, endangering the health of the occupants of the building. This Mitacs project will determine the water penetration resistance of various clay brick veneers used in various buildings. This research will also provide very important test data that may allow […]

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Evaluating the effectiveness of a multimodal intensive episodic treatment centre for youth Child Sexual Abuse (CSA) victims: The Be Brave Ranch

Child sexual abuse (CSA) is an all too prevalent form of childhood trauma worldwide. Nearly 1 in 5 women and 1 in 10 men experience some form of abuse in their childhood. CSA has been linked to numerous long-term effects: PTSD, depression, anxiety, substance abuse, eating disorders, sexual dysfunction, suicidal ideation, and cognitive impairment. Growing […]

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Automated Retail Area Cluster Detection

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 […]

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Machine Learning Aided Detection of Brain Aneurysms

Intracranial aneurysms are relatively common, occurring in 2-5% of the general population. Rupture of the aneurysm can result in a stroke with a devastating 30-day mortality of 45%. Further, severe medical conditions are possible in which up to one third of patients may die before reaching the hospital and one third will become severely debilitated. […]

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