Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 133 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Full Stack Performance Analysis for Multi-tiered Web Applications

The CXN360 service by Ag Exchange Group (https://cxn360.ca) is an online grain marketing service that allows grain buyers to make offers to purchase grain commodities and allows grain growers to make offers to sell grain commodities. CXN360 currently services the Canadian Prairies and Ag Exchange Group plans to extend the service into international markets and system loads are expected to significantly increase. This project performs a full software stack performance analysis to inform our infrastructure growth planning for these new markets. Existing system optimization and system evolution paths will be explored, with future CXN360 R&D efforts guided by the research results.

Voir la description complète du projet
Superviseur du corps professoral :

Dwight Makaroff;Derek Eager

Étudiant :

Partenaire :

AG Exchange Group

Discipline :

Computer science

Secteur :

Agriculture

Université :

University of Saskatchewan

Programme :

Accelerate

Multi-QPU quantum algorithms for quantum dynamics simulations

Quantum computers have the potential to perform computational tasks which are impossible to solve on classical computers. One natural application of quantum computing is to use them for predicting how quantum mechanical systems (e.g., models of quantum magnetism or chemical molecules) evolve in time. However, existing quantum computers – so-called noisy intermediate-scale quantum (NISQ) devices – are not yet powerful enough to generally outperform classical computers. Scaling up is possible by connecting multiple quantum processing units (QPUs) together. This approach has a significant drawback: transmitting quantum information from one QPU to the next is necessary but relatively slow. This calls for the design of specialized algorithms that can take advantage of the multi-QPU architecture without straining the communication channels.
In this project, we will design and optimize multi-QPU quantum algorithms for simulating the time evolution of quantum mechanical systems. We will benchmark the degree to which quantum mechanical systems can be represented on NISQ devices that are subject to the hardware constraints that arise from the slow inter-QPU communication channel. We will further determine optimized protocols to implement quantum simulations so that errors in the computation are minimized. Ultimately, we will execute these algorithms on available quantum hardware.

Voir la description complète du projet
Superviseur du corps professoral :

Dvira Segal

Étudiant :

Partenaire :

Entangled Networks

Discipline :

Physics

Secteur :

Quantum Science

Université :

University of Toronto

Programme :

Elevate

Process Optimization and Bio-Augmentation of In-Sewer Treatment Strategies for Optimal Wastewater Quality Control And Nutrient Management

Sewage collection systems have long been considered as sanitation and hydraulic infrastructure, i.e., a medium for transporting wastewater to the treatment facility. Therefore, the management focus has been mostly on hydraulic performance and the prevention of particle settling/odor development in pipes. Current research extends beyond sewage conveyance into sites of chemical and biological transformation with the possibility of reducing H2S production while simultaneously modifying the influent wastewater characteristics to mitigate lower discharge limits and achieve reduced operational costs of the wastewater treatment plant. Thus, the optimization of physico-chemical and bio-chemical processes occurring in a collection system will help in achieving optimal management and control of wastewater effluent quality (especially in terms of phosphorus and nitrogen concentrations) and sludge production. Given the diversity of site-specific conditions encounterable in various geographies and flow variability, it is vital to optimize the process dynamically based on real-time measurement to rapidly identify plant-specific optimum conditions and “design” an ideal influent using in-sewer treatment chemistries.

Voir la description complète du projet
Superviseur du corps professoral :

George Nakhla

Étudiant :

Partenaire :

USP Technologies

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services; Manufacturing; Professional, scientific and technical services; Utilities

Université :

The University of Western Ontario

Programme :

Elevate

Bentley : Extraction automatique d’information depuis des documents d’ingénierie

Les documents d’ingénierie sont essentiels aux projets d’infrastructures. Plusieurs de ces documents sont toutefois dans des formats dits non-intelligents, c’est-à-dire qu’ils ne peuvent directement être interprétés par un ordinateur. Dans certains cas, ces documents sont même uniquement sur papier… Le projet vise à donner aux logiciels Bentley une capacité d’analyse de ces documents similaire à celle d’un humain et de procéder à l’extraction d’informations spécifiques, ce qui permettrait aux usagers de faire des recherches beaucoup plus avancées. Par exemple, un ingénieur pourrait demander tous les documents relatifs à un certain emplacement, ou à un procédé industriel en particulier. Cette technologie, une fois incorporée dans les logiciels Bentley, pourrait avoir énormément de valeur pour les industries qui, par essence, sont appelées à maintenir des infrastructures complexes sur de très longues périodes (ex. barrages, centrales électriques, routes, voies ferrées, ports, etc.) en leur permettant de faciliter et diminuer les coûts de leurs tâches de maintenance et exploitation.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Luc Lamontagne

Étudiant :

Partenaire :

Bentley Systems Canada

Discipline :

Computer science

Secteur :

Technology; Information and Communications Technology

Université :

Université Laval

Programme :

Accelerate

Re-conceptualizing youth concussion recovery: A virtual multimedia storytelling project

Youth concussion rates are rising across Canada. In response, efforts are being made to enable the recovery of injured youth. However, little is known about what recovery ‘is’ (how youth understand their own recovery, what constitutes a ‘good’ recovery). This omission represents a major gap in knowledge of youth concussion. This research project will partner with youth who have experienced concussion as ‘storytellers’, to (1) investigate, challenge, and transform conventional ways of thinking about youth concussion, and (2) refine a virtual method for research with this group. Using multimedia storytelling and interviewing methods, this study will engage 8-10 storytellers (15-24 years), generating much-needed knowledge about the relation between how they perceive recovery and existing narrow conceptualizations of concussion recovery (eg, symptom-based understandings). The knowledge generated through this study is expected to contribute to a more nuanced and complex understanding of youth concussion recovery. Outputs include 8-10 multimedia stories of recovery produced by storytellers, scholarly publications and presentations, and an end-of-project video summarizing key findings and implications, to be shared with target audiences (eg, clinicians, teachers) through video screenings hosted at Holland Bloorview Kids Rehabilitation Hospital.

Voir la description complète du projet
Superviseur du corps professoral :

Gail Teachman

Étudiant :

Partenaire :

Holland Bloorview Kids Rehabilitation Hospital

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Retail trade

Université :

The University of Western Ontario

Programme :

Elevate

Découverte d’anticorps thérapeutiques humanisés ciblant TMPRSS2 neutralisant les virus respiratoires

Les infections respiratoires virales sont une problématique importante pour les systèmes de santé mondiaux. Plusieurs virus respiratoires tels que les coronavirus, responsables notamment de la COVID-19, et les virus de type influenza responsables de la grippe mutent rapidement ce qui leur permet d’échapper au système immunitaire et de résister aux traitements. Conséquemment, nous voulons bloquer une protéine humaine afin d’éviter le problème de mutations des protéines virales. Cette protéine humaine est TMPRSS2, une enzyme dont l’activité aide plusieurs virus à entrer dans les cellules de l’hôte et à l’infecter. Pour ce faire, nous développerons des anticorps chez la poule afin de bloquer la protéine TMPRSS2, nous validerons que nos anticorps bloquent bien l’activité de la protéine TMPRSS2 essentielle à l’entrée des virus et finalement, nous allons rendre les anticorps de poule plus semblables à ceux des humains pour qu’ils puissent être utilisés éventuellement chez des patients. Durant ce projet, le stagiaire postdoctoral impliqué dans ce projet sera notamment appelé à développer des essais afin de démontrer que les anticorps bloquent l’activité de TMPRSS2 en plus de développer une nouvelle technique afin de rendre les anticorps de poule plus semblables à ceux des humains. La compagnie biotechnologique Immune Biosolutions pourra acquérir des protocoles et de l’expertise sur les essais développés par le stagiaire postdoctoral en plus d’obtenir un anticorps ayant un potentiel thérapeutique.

Voir la description complète du projet
Superviseur du corps professoral :

Sebastien Rodrigue

Étudiant :

Partenaire :

Immune Biosolutions Inc

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Elevate

Conversational Modeling and Dialogue Generation for Consumer Understanding with Neural Techniques

Market research is fundamentally about understanding humans as consumers, in all their complexity and nuance. This fellowship will apply natural language processing techniques to the problem of representing consumer language, and generating conversational prompts intended to elicit opinions and underlying motivations which are pertinent to ad-hoc market research objectives. In partnership with Nexxt Intelligence Inc., this project will leverage recent developments in machine learning to construct a deep learning model capable of categorizing consumer conversations into meaningful categories and relationships which are of interest to market researchers. This model will then be applied to downstream tasks, building on existing IP (including a consumer language dataset, language models, and a computational conversational framework) toward the ultimate goal of creating an end-to-end digital system which empowers market researchers to design and conduct conversational experiences which engage with consumers through the use of fluent questions and prompts, which are not only sensible but also specific to both the market researchers’ overall objectives as well as the consumers’ utterances. The knowledge gained through this fellowship will be disseminated to the scientific community through publications in peer-reviewed journal(s) and/or conference(s), and the resulting models will be published with an open source license for anyone to use.

Voir la description complète du projet
Superviseur du corps professoral :

Jimmy Lin

Étudiant :

Partenaire :

Nexxt Intelligence

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Elevate

BC recreational fisheries: exploring potential for development of kokanee program

The project is designed with the following objectives: Improving the statistical formulation for the recently developed stock assessment model for BC lakes so that it maybe fitted to more types of field data, e.g., stocking, gillnet test fishing and angling effort data, and applying it toimprove understanding of kokanee-rainbow trout interactions in lakes, assembling lake characteristics informationand quantifying the biological potential for kokanee production in BC stocked lakes, analysing creel informationand angler effort data to explore angler preferences across BC for targeted species, combining analysis o fbiological potential and angler preferences and stocking cost-benefit to quantify growth potential of recreational fisheries for kokanee in stocked lakes of BC, integrating kokanee dynamics into landscape-wide optimization ofstocking programs and angling regulations for BC small lakes recreational fisheries. Over the past several decades, considerable research has been done on rainbow trout trade-offs between growth andsurvival (Biro et al. 2003; Biro et al. 2006; Askey et al. 2007), fish vulnerability to anglers (Cox and Walters 2002; Askeyet al. 2006), angler preferences (Parkinson et al. 2004; Webb 2006; Post et al. 2008; Williston 2008). This information has been used to optimize stocking densities required to maximize recreational fishing (Askey 2013).

Voir la description complète du projet
Superviseur du corps professoral :

Murdoch McAllister

Étudiant :

Partenaire :

Freshwater Fisheries Society of BC;Riseform Flyfishing Ventures

Discipline :

Life Sciences

Secteur :

Aquaculture and Fishing; Aquaculture and Fishing

Université :

The University of British Columbia

Programme :

Elevate

Improving Transfer Efficiency and Reducing GHG and VOC Emissions in the Application of Automotive Paint by Monitoring Sprays Using the Mazlite Platform

The objective of this project is to help reduce the environmental impacts of automotive painting operation by correlating changes in paint quality, transfer efficiency, and VOC and GHG emissions with droplet size distributions and the spray pattern produced by Electrostatic Rotating Bell atomizers.
During the project, data will be collected using the innovative Mazlite platform in an automotive paint booth. Furthermore, the researcher will study several key parameters and analyze the datasets to investigate and optimize operating conditions, transfer efficiency such that the integrity of the colour and finish is maintained. To track the impact of this project, the candidate will develop process improvement KPIs to measure the reduction in material waste, energy consumption, and VOC and greenhouse gas (GHG) emissions.
Mazlite has developed a system that can measure the size and velocity of droplets produced by a spray system in real-time. Mazlite will benefit from this project as it will enable the commercialization of the technology in an automotive beta test site. The project research and results will show the benefits of using the Mazlite platform in the production line. Furthermore, any scientific papers that involve the use of Mazlite technology will help in promoting its use cases.

Voir la description complète du projet
Superviseur du corps professoral :

Sanjeev Chandra

Étudiant :

Partenaire :

Mazlite Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Elevate

Sélection et caractérisation d’un consortium bactérien aux propriétés antifongiques pour les cultures de tomate et de fraise

L’ensemble de la filière agricole est confronté aux maladies fongiques et les phénomènes de résistances face aux fongicides qui en découlent. Depuis 1990, des méthodes de Lutte Antiparasitaire Intégrée (LAI) tendent à faire évoluer les pratiques agricoles en prenant en compte l’apparition de ces résistances et les quantités d’intrants appliqués en champs pour prévenir les pollutions des écosystèmes environnants. Les rhizobactéries, des bactéries vivant à l’interface racinaire des plantes et du sol, sont rapportées dans la littérature comme ayant des propriétés antifongiques naturelles. Le présent projet vise à formuler un nouveau bio-fongicide à partir d’un mélange de ces rhizobactéries caractérisées pour avoir des propriétés antifongiques comme alternative aux traitements chimiques préventifs. Ce consortium bactérien sera étudié sur des cultures d’intérêts agricoles de tomates et de fraises qui sont fréquemment ravagées par des champignons dévastateurs tels que Botrytis cinerea et Fusarium oxysporum. Afin d’évaluer le potentiel bio-fongicide du consortium, des expériences seront menées pour suivre l’évolution de la croissance des champignons et identifier les réponses immunitaires chez la plante via l’expression des gènes impliqués dans l’immunité des plantes en présence du consortium bactérien.

Voir la description complète du projet
Superviseur du corps professoral :

Hugo Germain

Étudiant :

Partenaire :

Biotechnologies Ulysse Inc

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université du Québec à Trois-Rivières

Programme :

Elevate

Hydrothermal Liquefaction of High-Moisture Pulp and Paper Milling Residues for Renewable Biocrude Production

Canada’s $9.6B pulp industry produces an ample supply of unusable organic pulp mill residues, yet there has been relatively limited utilization of this feedstock for the production of bio-crude through hydrothermal liquefaction (HTL) – a low-temperature, high-pressure thermolytic conversion process. The proposed research project will investigate HTL catalysts that produce abundant, high-quality, and low-cost bio-crude for later transformation into renewable diesel. Mitacs interns’ research will involve the development of these catalysts and the maximization of their performance, which will feed into the feasibility analysis of a 100,000 L/d demonstration scale process utilizing the developed HTL technology for the production of renewable diesel. This work strives to lay the groundwork for more detailed pre-commercialization engineering studies with the project’s industrial partner, eventually creating a facility supplying Canada’s forestry sector with clean, locally produced fuels.

Voir la description complète du projet
Superviseur du corps professoral :

Hussameldin Ibrahim

Étudiant :

Partenaire :

Varun Investments Inc.

Discipline :

Engineering

Secteur :

Management of companies and enterprises

Université :

University of Regina

Programme :

Accelerate

Development of a high-throughput screening system for SARS CoV-2 variants and screening for novel antivirals

The COVID-19 pandemic is the greatest public health disaster in over a century resulting in the death of nearly 6 million people world-wide. The virus has evolved over the last two years to highly transmissible variants, outpacing our efforts to contain it by mass vaccination. Effective drugs that can curtail the infection at early stages, preventing transmission and hospitalizations are essential to limit community spread of the new, highly transmissible variants. Due to the highly transmissible nature of SARS Coronavirus 2, most research on drugs and vaccines against the virus is confined to a few high containment laboratories around the world. Infection systems for the recent virus variants that can safely be used in normal laboratory conditions for drug and vaccine development is currently lacking, severely hampering our efforts to develop novel drugs effective against newer variants. This project envisions to develop such an infection system for the delta and omicron variants of SARS Coronavirus 2 that are responsible for most of the current infections. Furthermore, we will use this system to identify novel drugs and drug-targets that could potentially be developed into new antivirals that are effective against all prevalent variants of the virus.

Voir la description complète du projet
Superviseur du corps professoral :

Anil Kumar Victoria Ansalem

Étudiant :

Partenaire :

Applied Pharmaceutical Innovation

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services; Retail trade

Université :

University of Saskatchewan

Programme :

Elevate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.