Innovative Projects Realized

Système de capteurs embarqués en camion-toupie

Dans le cadre de ce projet collaboratif avec l’industrie dans lequel sont impliqués plusieurs étudiants-chercheurs, le stage consistera en l’exploration de différentes approches d’analyse et de mise en valeur de données par l’apprentissage machine. Les données à exploiter sont obtenues de capteurs embarqués sur des camions-toupies partout en Amérique du Nord. Ces capteurs permettent d’enregistrer l’historique de la température et la maniabilité du béton frais, en plus de suivre la vitesse et le sens de rotation de la toupie. Une base de données très riche est déjà en place. Par exemple, une opportunité d’analyse concerne la prédiction de l’affaissement mesurée à l’arrivée au chantier à partir de données telles que la composition de mélange, la durée et l’intensité de malaxage, la durée du transport et les conditions météo. Le stagiaire sera accompagné dans ce projet par un étudiant au doctorat qui connaît bien les outils et les données en jeu.

Cloud Defence Orchestration

Cloud computing is gaining traction during this last decade through its offering of almost unlimited computer resources accessible from anywhere with minimal management efforts. However, one of its less favorable aspects is security. Currently, the flexibility and elasticity of the cloud are not adequately used to put in place a more efficient defense. This project targets to mitigate a critical security threat to the availability of the cloud, namely distributed denial of service. Therefore, we propose an innovative automated framework that provides an efficient, elastic, and cost-effective defense against such attacks. Ericsson, a world’s leading provider of technology and services, is actively working on pioneering research on cloud computing. One of the most relevant products is the Ericsson Cloud Manager (ECM) for end-to-end cloud orchestration for Ericsson Cloud System. The results of this research can be directly applied and used inside ECM to develop novel mechanisms of defending the cloud.

Teneur en alcalis et détérioration du béton due à la RAS

En 2019, la société des Ponts Jacques Cartier et Champlain Incorporée (PJCCI) a lancé un programme de R&D associé à la déconstruction du Pont Champlain. Réalisé dans ce contexte, le présent projet consistera à déterminer en laboratoire la teneur en alcalis solubles d’échantillons de béton prélevées dans les différentes sections du Pont Champlain fournies à l’équipe de projet (méthode d’extraction à l’eau chaude et à l’eau froide). Ces résultats pourront être comparés à la condition du béton déterminée par d’autres essais afin d’établir dans quelle mesure l’ampleur de l’endommagement et l’expansion résiduelle du béton associable à la RAS peuvent être reliées à la teneur en alcalis du béton, et même à une contribution additionnelle possible par des sels de déglaçages.

Combining Microfluidics with Molecular Computing for Automated Bio-analysis

Our bodies respond to disease and pathogens by changing the expression levels of many different genes. These changes are currently only measurable using expensive instruments and analyzed using complex software, both of which are often unavailable at low-resource and remote settings. The goal of this project is to establish a novel technology for measuring these multi-gene expression changes and producing a diagnosis, while remaining cheap, portable, and easy-to- use (i.e., automated). We will tackle this challenge by combining three cutting-edge technologies: DNA computing, artificial intelligence, and microfluidics. In DNA computing, molecules of DNA act as physical wires that carry signals and perform calculations. In comparison to electronic computers, such DNA-based computers are much smaller, and can interface directly with patient- derived genetic information without other expensive instruments. In this project, we will use DNA to build an artificial intelligence model, which can perform classification of diseases based on the expression of multiple genes from patient samples. We will further integrate the DNA model into a microfluidic device which will enhance the speed, precision, and throughput of its computation, as well as its ease-of-use through automation.

Ocean Straws

The goal of this research is to utilize alternative sources to plastic in the development of straws. This makes use of natural and biodegradable materials to source for the development and testing of straws.

Jiaru Ni Internship

Project 1
StrokeSENS™ is a software as a service business aimed at providing physicians with an acute stroke decision aid tool, that will
leverage artificial intelligence (AI), advanced image-processing, and network connectivity to support physicians and other
healthcare team members to simplify stroke care, with a focus on enabling front line stroke centers. Circle NVI’s mission is to
simplify stroke care by augmenting front-line physician decision making.
Project 2
Circle Cardiovascular Imaging is a software medical device Manufacturer based in Calgary Alberta, Canada. Circle Cardiovascular
imaging creates multiple products for the analysis of patient images for assisting the diagnosis of cardiac and neurological
diseases. cvi42 Cardiovascular Magnetic Resonance/Computed Tomography Imaging Software Application (referred to as
cvi42) is a software as a medical device (SaMD) that is intended for evaluating CT and MR images of the cardiovascular system.
Combining digital image processing, visualization, quantification, and reporting tools, cvi42 is designed to support the physician
in the evaluation and analysis of cardiovascular imaging studies.
All those project that keeps evolving and getting new functionalities that need to be continually tested by the QA team member and
the funding through this BSI internship will enable us to have a Quality Assurance (QA) team member to work with both the
platform development team as well as the R&D team. The idea of switching the intern through those project is to expose them
to different technologies and test strategies so they can learn as much as possible in the period they will be collaborating with
us.

SSE_BISSONNETTE-MUSÉE AMBULANT-Chouinard – Développement philanthropique du Musée Ambulant

Ce projet de stage propose d’élaborer, en collaboration avec l’organisme partenaire, une nouvelle stratégie de financement permettant de s’affranchir du financement public. Il s’agit donc de mettre en place des activités et des relations permettant à l’organisme partenaire de se positionner dans le monde philanthropique et d’y trouver de nouvelles sources de financement. Ce projet permettra à l’organisme d’obtenir plus de financement pour accroitre ses activités et avoir une plus grande influence sur la démocratisation culturelle et artistique.

Developing Private Natural Language Processing (NLP) model for Enterprise Data

We want to create an artificial intelligent assistant for businesses. It uses state-of-art Natural Language Processing models to understand what people say and seamlessly converting it into computer executable orders. For example, if someone asks, “How much did we spend on training?” it can turn that it into a meticulously structured SQL query such as “Select sum(cost) from training”.

This AI assistant will also make sure that important company information is safe and can be adjusted to work just right for each business. This allows us to leverage the capabilities of AI-powered natural language processing while also ensuring the protection of sensitive enterprise data. .

Managing Equipment, Supplies and Transport Services for Clients with Cancer

The Cancer Assistance Program (CAP) role since inception has been to provide free practical services to those impacted by cancer. Services provide person-centred care, improving cancer patients’ quality of life, helping to alleviate the emotional, physical and financial implications of a cancer diagnosis. The scope of service is specific, practical, tangible, and focused on removing barriers to accessing healthcare that social determinants of health create. Services include:
– Free drives to cancer appointments;
– Home health safety equipment loans for safe cancer care at home care;
– Personal care items for nutritional and psychosocial support;
– Home delivery of home-safety equipment and nutritional supports;
– Access to education podcasts with cancer experts for cancer-management decisions.

This project continues CAP’s work to develop an integrated client and inventory management system which provides significant improvements in efficiency and the ability of CAP to serve their community.

Développement d’une librairie de structures de contrôle de procédés

L’intégration de dispositifs et systèmes micro-électro-mécaniques nécessitent un contrôle très précis des étapes de microfabrication et des matériaux microélectroniques qui sont utilisés dans ce processus. Chaque étape de procédé doit être validé avec des structures tests aussi appelées PCM (“Process Control Monitoring”). Ces PCMs permettent, entre autres choses, de valider les épaisseurs et propriétés mécaniques et physiques des films minces déposés, ainsi que de valider les dimensions et accomplissement des étapes de microfabrication comme la gravure, la lithographie ou le collage.
Le but de ce projet est de mettre en place une librairie de structures tests de type PCMs au C2MI pour contrôler les étapes de microfabrication et l’intégration complète des dispositifs ainsi que de faire un suivi des équipements et procédés. Cette librairie comprendra la conception des PCMs, une base de dessin de structures avec des guides, ainsi que les protocoles de caractérisation.

Business case software for strawberry production in greenhouses

The proposal of a comprehensive solution to creating a price-competitive berry production solution to alleviate Canada’s food vulnerability is impossible without a complete understanding of the business case model. Argus is in a unique position to leverage its relationship with the growers in the market, as well as its vast experience to provide a view to all inputs and outputs of the existing strawberry business case, robust to locale & time of year. This will help understand the current pain points, barriers to large-scale implementation, and qualities to make the product attractive to commercial food procurement partners and Canadian consumers. This business case model will be structured to facilitate scenario comparisons and can be leveraged to evaluate innovations planned in the project and forecast the likelihood of success.

The effect of perovskite dopants on their opto-electronic properties for understanding solar cell performance

The performance of solar cells in underpinned by many parameters. Of importance is the constitutional composition of the light harvesting material and its periodic structure. Towards developing efficient materials, the effect of molecular structure of the light harvester and the subsequent electron transfer processes must be adequately understood. The project goal is to fill the void of such understanding by evaluating how the optical properties of perovskites are affected by dopants. The intern will prepare perovskites with various dopants and evaluate the opto-electronic properties of the light harvesting material that can be used in solar cells.