Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Slice Finder: Application to Stress Testing

The project aims to use state-of-the-art machine learning techniques to perform model validation. In particular, the intern will validate outcomes from risk assessment models for loan portfolios. The results will be employed to further the efficiency of ATB’s internal stress testing models. The benefit for ATB financial will be the possibility to detect subsamples for which model fit might be poor, which will yield insights and, hopefully, improvement to stress testing.

Voir la description complète du projet
Superviseur du corps professoral :

Valentina Galvani;Sebastian Fossati Pereira

Étudiant :

Partenaire :

ATB Financial

Discipline :

Sociology

Secteur :

Finance and Insurance

Université :

University of Alberta

Programme :

Accelerate

Simulation of turbulent premixed flames

Combustion continues to be the major source of power for electricity, transportation, and material processing.
Modem day combustion devices such as automobile engines rely on computer simulations for analysis and
optimization of geometry or operating conditions. Combustion problems that are solved to perform such
simulations are described by complex multi-scale non-linear mathematical equations that entail a close knit
interaction between combustion chemistry and flow turbulence. This inherent coupling of chemistry and
turbulence poses is exhibited to a high degree by flames typically observed in spark ignition engines. A
combustion model developed by Bushe et al. provides a possible solution approach for the equations describing
such flames in a less prohibitive approach than existing models. During the internship, this model will be applied
to industry relevant conditions and will be investigated as a tool to simulate combustion in spark ignition engines
developed by Westport Innovations Inc.

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Superviseur du corps professoral :

Kendal Bushe

Étudiant :

Partenaire :

Westport Innovations Inc

Discipline :

Engineering

Secteur :

Manufacturing; Transportation and warehousing

Université :

The University of British Columbia

Programme :

Accelerate

Improving User Experience and Accessibility of Online Medical Test Data via Gameful Design

In this project, we plan to study and improve the existing Best Tests section of the Clinician Portal from Alpha Laboratories. Best Tests provides metrics to clinicians that allow them to compare the effectiveness and cost of their test ordering patterns. However, the problem is that many of these comparison metrics are not easy to understand and even harder to integrate into the existing routines of doctors, nurse practitioners, and lab orderers (i.e., clinicians). This is a significant research problem, because if clinicians could alter their testing strategies based on these metrics, it would result in savings for the healthcare sector and faster results for patients. To address this design problem, we propose to improve the user experience and accessibility of the currently existing Best Tests online medical test data section using gameful design. We will iteratively improve the online experience using online prototypes and data collection from real clinicians, following a rapid iterative testing (RITE) approach alongside traditional online user studies. We will work closely with Alpha Laboratories to ensure the iterative implementation of our prototype design into the current online software.

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Superviseur du corps professoral :

Lennart Nacke

Étudiant :

Partenaire :

Alpha Laboratories

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

University of Waterloo

Programme :

Accelerate

Good Decisions, Diverse Voices: Developing Tools for Equitable Decision Making

Despite the importance of diverse voices in community decision-making, we still do not fully understand how to support sound decision making in a way that is equitable and works to advance agendas of historically marginalized groups. We will draw on notions of equitable representation and urban planning to define equitable decision making, identify value elicitation methods that increase equity in decision making, and explore ways technology can assist this process.
EcoPlan International (EPI) with the University of British Columbia (UBC) and Simon Fraser University (SFU) propose to undertake research to help us better understand these problems and create solutions that both support EPI in delivering high-quality results to its clients, and inform planning and decision making across Canada.
The proposed research examines techniques to support equitable decision-making and scenario planning, and the implementation of these tools in the real world. This approach ensures the applicability of the research both to EPI’s practical challenges and to the academic literature.

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Superviseur du corps professoral :

Andréanne Doyon;Lorien Nesbitt;Lorien Nesbitt;Michael Meitner

Étudiant :

Partenaire :

EcoPlan International Inc

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University; The University of British Columbia

Programme :

Accelerate

Multilingual Semantic Search Engine using Multilingual Semantic Similarity

Multiple situations require cross-lingual searching: lawyers reviewing litigation documents; intelligence analysts data mining open source data; and patent attorneys investigating technical documents. To imitate cross-lingual search, people use online translation platforms to find the equivalent terms laboriously and then re-execute the query multiple times in various languages. The commercial search industry hasn’t seen much demand for crosslingual search. Search is always monolingual and very English-centric. However, to communicate with end users, businesses regularly produce written documents in various languages. Therefore, a set of rules are required to ensure that information in these documents is ‘correct’ and consistent across languages and communication channels. This project aims at creating algorithms capable of performing semantic search within a very large pool of multilingual unstructured enterprise contents with less overhead regardless of the natural language being used for each document. The proposed algorithms must scale with the size of the corpus being used.

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Superviseur du corps professoral :

Robert Mercer

Étudiant :

Partenaire :

Messagepoint

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

The University of Western Ontario; Western University

Programme :

Accelerate

Design an integrated circuit for a solar powered wireless charger compatible with plastic injection molding process

A solar wireless charger makes use of the power of the sun to charge your mobile phone. The benefit of this portable device is that it makes it possible to charge your phone outdoor or when someone does not have access to electricity right away. It also helps people in undeveloped countries where access to electricity is not possible or is limited. Adding to this, considering the large amount of energy used each year by mobile phones, production of this device helps to reduce energy bills and using more renewable energy.

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Superviseur du corps professoral :

Arash Ahmadi

Étudiant :

Partenaire :

Standard Tool and Mold

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Windsor

Programme :

Accelerate

Metaheuristic Approaches to Feature Engineering and Model Architecture Optimization for Financial Time Series Prediction

Predictive modeling of financial data, especially trading activity or asset prices, is a very challenging task. There are a number of novel approaches to feature engineering, data preparation and model architectures that aim to mitigate some of the problems that arise from non-stationarity and other issues typically found in financial time series data. This project aims to use metaheuristic approaches to approximate the best combination of feature engineering, data processing and model architectures for a specific financial time series prediction problem, while reducing the overall computation and time required for a grid search.

Voir la description complète du projet
Superviseur du corps professoral :

Fabian Bastin

Étudiant :

Partenaire :

Consilium Crypto (ON)

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Développements analytiques pour le marketing numérique et le recrutementde donateurs d’organismes à but non lucratif

Plusieurs fondations, comme la fondation Marie-Vincent, sont particulièrement touchées dans le contexte de la crise actuelle de la COVID. Une partie importante des initiatives de financements étant normalement effectuée lors d’événements physiques d’envergure, l’obtention du financement pour maintien des activités est une préoccupation. Afin de supporter les fondations et organismes à but non lucratif particulièrement touchés, le projet vise à développer une solution analytique de marketing numérique pour augmenter leur base de donateurs, l’optimiser leurs efforts de marketing numérique et améliorer leur connaissance des donateurs actuels.

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Superviseur du corps professoral :

Jean-François Plante;Alejandro Murua

Étudiant :

Partenaire :

Videns Analytics

Discipline :

Business

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Accelerate

Optimizing Machine Learning to Increase Relevance in Photo Selection for Private School-Based Social Media

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations in pose, age, illumination, expression, and heterogeneous face matching. And research continues in data sampling, training and modeling to better understand and address issues related to bias. In addition to the advances in research and application, there is recent, and overdue, greater awareness of the impact machine learning and AI have on broad aspects of our society and personal privacy. Within the dynamics of technological advances and societal value, applications such as Vidigami’s private and secure school-based social media platform are seeking to evaluate and implement new functionality and policies to maintain the trust and provide relevance to its user community from students, parents, teachers and school staff. In this proposal research project, the intern(s) will review and evaluate the latest applied techniques to improve facial recognition (e.g. including use of non-facial characteristics such as height and context) and provide greater relevance to school communities.

Voir la description complète du projet
Superviseur du corps professoral :

Jiannan Wang

Étudiant :

Partenaire :

Vidigami Media

Discipline :

Computer science

Secteur :

Arts, entertainment and recreation; Information and cultural industries; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Synthesis and evaluation of Antibody conjugated to cyclical peptide toxin drug for the treatment of multi-drug resistant cancer cells

Antibody Drug Conjugates (ADC) are an emerging class of drugs that combine antibodies and a drug payload. The antibody cargoes the drug payload to specific targeted cells improving both safety and efficacy. To date that are 8 FDA approved ADC drugs all for oncology application using small molecule drugs. Although these ADCs with small molecules encompass superior efficacy and safety than non-targeted small molecule drugs, it is increasingly evident that they lose efficacy due to the same multi-drug resistance by the cancer cells. In this project, we are exploring the synthesis and evaluation of larger molecule cyclical peptide toxin drugs that cancer cells find more challenging to develop resistance to. Traditionally, these cyclical peptide toxins are rarely used for oncology application due to a variety of systemic toxicity; however, by utilizing the ADC platform, this new class of toxins may be an important class of anti-cancer drug class to unlock.

Voir la description complète du projet
Superviseur du corps professoral :

David Perin

Étudiant :

Partenaire :

iProgen Biotech Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Experimental investigation of the flow fields within novel, compact compressor stages

The aim of the internship is to conduct airflow velocity and turbulence measurements within a novel, compact aircraft engine compressor stage, using a non-intrusive technique, and then compare the results with those obtained from numerical (computational fluid dynamics, CFD) models, thereby developing an understanding as to how the different models deal with turbulence and with the strong curvature of the flow present in such compressor stages. The main result of the research is expected to be recommendations to the industrial partner as to how to improve their CFD modelling approaches in order to achieve more accurate simulations and, hence, optimized and efficient “green” designs

Voir la description complète du projet
Superviseur du corps professoral :

Eric Savory

Étudiant :

Partenaire :

Pratt & Whitney

Discipline :

Engineering

Secteur :

Université :

Western University

Programme :

Accelerate

Placentia Bay Atlantic Salmon Aquaculture Project

The Fisheries and Marine Institute of Memorial University is partnering with Grieg Seafood Newfoundland to provide 9 internships to students from the Advanced Diploma in Sustainable Aquaculture graduating class of 2021. The proposed project seeks to provide HQPs to assist Grieg in optimizing the novel equipment and systems that will be installed in their land-based hatchery as well as their marine sea cage sites. Through this internship, students will be given the opportunity to gain hands on experience through exposure to new technologies, operational challenges, and research to benefit them in their future careers.

Voir la description complète du projet
Superviseur du corps professoral :

Jillian Westcott

Étudiant :

Partenaire :

Grieg NL

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

Memorial University of Newfoundland

Programme :

Accelerate

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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.