Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Application of Data Analytics in Industrial CFD

Due to the potential for significant cost-savings, many companies are turning their attention to digital simulations which produce an enormous amount of data. For companies to realize the benefits of having access to this data they need tools that allow efficient and accurate extraction of information from the data set. The goal of this project is to conduct the research required to develop a framework for the implementation of machine learning algorithms to provide engineering predictions for industrial applications. With its mandate to develop state-of-the-art tools for physics-based engineering applications, SOTAES is well-positioned to develop this innovative product.

Voir la description complète du projet
Superviseur du corps professoral :

Christopher Houser;Mohamed Belalia;Mohamed Belalia

Étudiant :

Partenaire :

SOTAES Inc.

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Evaluation of Zisca as a treatment for hyperammonemia in chronic liver disease

Liver failure is rapidly becoming a health epidemic in North America, mostly due to large increases in fatty liver disease. The liver normally clears ammonia from the bloodstream, however, when the liver fails ammonia builds up to dangerous levels and causes cognitive impairment which can progress to coma and death. Neuractas Therapeutics has developed a Zisca to treat the cognitive impairment caused by liver failure and will be testing its new therapeutic in a rat model of the disease. Zisca is an ammonia scavenger, a drug which binds to ammonia-containing molecules in the blood leading to their excretion in the urine. If Zisca functions as designed, Neuractas Therapeutics will continue its development eventually moving towards clinical trials.

Voir la description complète du projet
Superviseur du corps professoral :

Christopher Rose

Étudiant :

Partenaire :

Neuractas Therapeutics

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Université de Montréal

Programme :

Accelerate

The paradigm of management: Investigating the link between Indigenous-led contemporary clam management systems and clam diversity in an industrialised ecosystem

The general objective of the proposed activity is to increase the future productivity of Burrard Inlet and the contribution of seafood to the diet of Tsleil-Waututh Nation (TWN) members in support of the TWN Cumulative Effects Monitoring Initiative. Specifically we propose to (1) quantify the ecological variables driving contemporary clam density, biomass and diversity; (2) experimentally test the effects of TWN clam tending practices on contemporary clam growth rates and survivorship; and (3) to inform decisions about resilient TWN clam management strategies in Burrard Inlet.

Voir la description complète du projet
Superviseur du corps professoral :

Anne Salomon

Étudiant :

Partenaire :

Kerr Wood Leidal Associates Ltd

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Making Healthcare More Accessible in Long Term Care Facilities through a Robotic Platform

COVID-19 has introduced significant challenges to healthcare systems and caregivers to provide quality care to older adults and adults with developmental disabilities (DD) living in long-term care facilities (LTCFs). As a result, regular doctor visits are limited, and demand for caregivers is on the rise. Utilizing a Collaborative Service Robot (CSR) technology within a LTCF can improve accessibility to healthcare by providing a medium for the residents to connect to healthcare professionals on demand and simultaneously reduce the risk of transferring infection. The ultimate goal of this project is to develop a CSR that assists seniors or adults with DD and their caregivers in LTCFs. The premise of this project is to integrate a telehealth application into the CSR prototype and to design and develop user-friendly human robot interactions (HRIs) for the LTCF residents to provide a seamless and secure communication medium.

Voir la description complète du projet
Superviseur du corps professoral :

Hendrik F Machiel Van der Loos

Étudiant :

Partenaire :

JDQ Systems Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

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.

Voir la description complète du projet
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.

Voir la description complète du projet
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.

Voir la description complète du projet
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.

Voir la description complète du projet
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.

Voir la description complète du projet
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.

Voir la description complète du projet
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

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