A Prospective Model for Predicting Driver Workload, and Safety Related Distraction, using Heterogeneous Data and Machine Learning

There is an increasing amount of potentially distracting information being made available to drivers. However, applications (e.g., for navigation, work, entertainment, etc.) need to be aware of driver workload so that they don’t create unsafe distraction. This work is important because distracted driving is a major risk factor for road accidents and the threat of […]

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Modèle d’interface ergonomique et accessible aux apprenants ayant des limitations cognitives.

La planification et l’implantation des interventions auprès d’un apprenant (enfants, jeune et adulte) ayant des limitations cognitives s’articule autour d’un processus d’évaluation qui permet de déterminer son profil . Divers outils de collecte de données (outils d’éva luation) dont des instruments de mesure, des outils d’observation, des inventaires, des questionnaires et des tests (normatifs ou […]

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Universal Identity Platforms and Data Residency Requirements

LockDocs is developing an innovative platform for the creation and sharing of a universal customer identity with financial services and private equity investment firms. This project will research and analyze the data residency and privacy requirements for such a platform, and will begin the identification of technology that can ensure such requirements are met and […]

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Predicting for Targeted Advertising by Maximum Information Coefficient

Predictive modeling is a statistical data mining approach that builds a prediction function from the observed data. The function is then used to estimate a value of a dependent variable for new data. The objective of the project is to develop predictive models by machine learning approach and data mining techniques from the large volum […]

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Apprentissage automatique pour la résolution de problèmes de repositionnement de véhicules

L’entreprise Fastercom se spécialise dans le développement d’algorithmes et de logiciels permettant de résoudre différentes formes de problèmes liés aux transports. L’objectif de ce projet est de développer des techniques d’apprentissage automatique adaptées au problème de repositionnement dynamique de véhicules. Il s’agit par exemple du repositionnement d’ambulances pour couvrir adéquatement une zone pour les urgences, […]

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Routing Cycling Trips on a Level of Traffic Stress Network within the Transportation GeoXchange

This research project supports the development of cycling planning tools within an online transportation planning platform called the Transportation GeoXchange (TGX). Research focusses on the development and integration of Level of Traffic Stress (LTS) network analysis in case studies using the TGX. LTS networks are routable graphs with impedance functions that characterize the subjective level […]

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Investigating transformer-based natural language processing (NLP) techniques and advanced machine learning approaches to improve virtual assistant operations

Conversational artificial intelligence (AI) chatbots, also known as Virtual Assistants (VAs), combine the power of machine learning (ML) and natural language processing (NLP) to understand the intent of a user’s utterance, and to formulate a useful, human-like response. Operating a Virtual Assistant brings many complex challenges; this project strives to address these challenges through undertaking […]

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Lumiio Inc – Fall 2021

Lumiio’s goal is to accelerate health outcomes through data collection. They specialize in real-world data collection and connect stakeholders in health communities by aligning interests. The organization has identified a significant gap in the standardization and use of patient information to drive improved health outcomes. The team recognizes a number of core offerings are missing […]

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GPS/Wi-Fi/ MEMS Sensors Integration for Indoor Navigation

In the last few years, pedestrian indoor navigation systems are widely used for various applications such as health care monitoring, Location Based Services (LBS) and emergency services. However, most of the indoor navigation systems are not mature, and could not provide continuous, accurate and reliable positioning solutions. GPS, MEMS sensors and Wi-Fi are three main […]

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Development and evaluation of AI-enabled planning algorithms for timber-harvesting machines using Vortex

Timber-harvesting is an important industry for Canada. For tree-cutting specifically, the industry employs large heavy-duty machines with crane-like manipulator arms which are driven by trained operators. The work involved in operating these machines is tiring, involves long hours in harsh conditions and as a result, there is presently a labour shortage for operators. It is […]

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Améliorer la trajectoire de soin et de vie des aînés chuteurs ou à risque de chute par la mise en place d’activité physique à l’aide de gérontechnologie comme intervention en clinique externe de gériatrie

Ce projet vise à mesurer, d’une part, la faisabilité et l’acceptabilité d’un programme d’activité physique faisant appel à une gérontechnologie auprès des aînés vivant en résidence pour personnes âgées et, d’autre part, les bénéfices d’une telle d’intervention auprès de cette population. Nous faisons appel à une technologie adaptée appelée Jintronix qui offre une variété d’activités […]

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Dynamic Network Management and Performance Optimization for Smart Talk Beacon’s security architecture

Internet of things (IoT) systems require significant management related to external intrusions, internal threats, device failures, access management, and performance monitoring. In addition to network management issues, quality of service (QoS) must be maintained to predict changes and determine device and network performance. A good IoT system should be able to identify, track, and mitigate […]

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