Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Investigation of immunological mechanisms ofpeptide immunotherapy

A[though early clinical trials have been positive, peptide vaccine mechanism of action (how tolerance
is induced) is unknown. The primary objective of these studies is to identify changes in gene
expression and cytokine expression that are correlated with vaccine treatment. These changes could
provide insight to mechanisms of action and may reveal potential genetic biomarkers that could then
be validated fpr use in clinical development of peptide vaccines, and also the treatment of allergic
disease.
If this study can identify the key genes can cellu[ar pathways that respond to treatment with a peptide
vaccine to cat allergy, it wil[ represent a great advance in the understanding of the mechanisms of
immunoto[erance. Such knowledge may then be applied to the design of dosing regimens, clinical trial
design, and the development of other peptide based immunotherapeutics.

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Faculty Supervisor:

Mark Larche

Student:

Partner:

Adiga Life Sciences

Discipline:

Life Sciences

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Décontextualisation des individus ayant des attitudes et comportements alimentaires inappropriés : médium de prévention et d’intervention prometteur

Les troubles du comportement alimentaire (TCA) sont reconnus depuis plus de trois siècles par le Manuel Diagnostique et Statistiques des Troubles Mentaux (DSM). Cependant, cette classification diagnostique ne permet pas de prendre en compte la majeure partie de la population qui présente des attitudes et des comportements alimentaires inappropriés (ACAI), pouvant mener à un TCA. Dans une perspective holistique et intégrée de la santé, les auteurs de récents écrits scientifiques prônent un continuum de sévérité (versus le modèle catégoriel) allant d’un état dit « normal » (absence d’ACAI) à un état clinique (présence avérée d’un TCA) en passant par un état sous-clinique (présence d’ACAI). Il existe une multitude d’interventions pour prendre en charge les ACAI, mais selon certains auteurs, une approche dite « intégrative » est recommandée pour répondre à cette vision holistique de la santé. Plus précisément, cette approche privilégie l’application des interventions directement dans le milieu de vie des individus tout en intégrant les disciplines cliniques des professionnelles. Par ailleurs, dans une visée expérientielle, le changement de contexte – contextualisation/décontextualisation – est une modalité d’intervention prometteuse pour les ACAI.

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Faculty Supervisor:

Johana Monthuy-Blanc

Student:

Partner:

Ex Situ Expérience

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

StreamSight: General Purpose Algorithm for Estimating Waste Weight at the Waste Collection Stage

The problem at hand is an inability for municipalities across Canada to audit recycling and waste collection. Auditing comprises both the quantity and type of objects being disposed or recycled. The only existing option is manual, which cannot be applied beyond small intermittent inspections due to the significant cost, time commitment and inefficiency.
In this project, two research directives are targeted: (1) to classify items at the point of waste collection in real time, and (2) to estimate the weight of individual collection bins using information obtained in (1), the fuel consumption in vehicles, and motion data obtained while loading waste into the vehicle using machine learning techniques

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Faculty Supervisor:

Mehran Mehrandezh

Student:

Partner:

Prairie Robotics Inc.

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

University of Regina

Program:

Accelerate

Production and Purification of Titanium-45 for Positron Emission Tomography Imaging

Nuclear medical imaging relies on the detection of radiation that is emitted from the body after a radioactive isotope that has been fused to a disease targeting molecule (aka radiotracer) is administered to the patient. For example, positron emission tomography (PET) scans can be used to image and diagnose disease in the body with extremely high resolution and sensitivity. The radioactive isotope titanium-45 has the ideal properties to be incorporated into a nuclear imaging agent for PET scans. Unfortunately, the technology required to make the isotope and isolate it in a form that is compatible for attachment to disease targeting molecules is underdeveloped and to date no titanium-45 PET imaging agents have been successfully used in the clinic. Our proposal aims to address this gap in knowledge and establish a reliable and automated system to produce titanium-45. Our industry partner, ARTMS, will seek to commercialise this technology making it accessible to nuclear medicine researchers that can develop new radiotracers based on titanium-45.

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Faculty Supervisor:

Caterina Ramogida;Valery Radchenko

Student:

Partner:

ARTMS

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Whales from Space: Surveying Baleen Whales in the Gulf of St. Lawrence using VHR Satellite Imagery

Ship strikes and fishing gear entanglement in particular have put right whales at risk of extinction with approximately 400 of this species remaining. Monitoring the remaining whale requires reliable detection of whales over large spatial scales. Traditionally, whale population size and distribution are estimated using trained experts on survey boats and planes. This project will develop an automated methods to visually detect endangered North Atlantic right whales from aerial and satellite imagery. The outcome of this project will allow for improved identification of whale location, improving the information available to ocean transportation by more easily identifying the location of right whales and allowing shipping companies and government partners to make more informed decisions about shipping lanes, vessel speed, and other movement criteria that may impact the reliability of shipping logistics with balancing the safety of the whales.

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Faculty Supervisor:

Sageev Oore;Boris Worm

Student:

Partner:

Global Spatial Technology Solutions Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Dynamics and Stability of a Crosswind Kite Power System

The proposed project aims to develop some novel mathematical tools to ensure the safe design and operation of crosswind kite power systems (CKPS). CKPS are part of an emerging wind energy technology, which harness from naturally strong steady winds at high altitudes, where the airborne energy harvesting device is kept aloft using very light tethers. The tools developed during this project will particularly be indispensable in ensuring the safety of the base station where the mechanical power from the flying kite is converted to electricity. This will be instrumental to the development of a novel hydraulic-based drive-train system and thus to the eventual economic success of the industrial partner.

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Faculty Supervisor:

Mojtaba Kheiri

Student:

Partner:

New Leaf Management Ltd.

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

Concordia University

Program:

Accelerate

Dynamic Modeling of Hydrate Formation and Dissociation in the Presence of Thermodynamic and Kinetic Hydrate Inhibitors

This project supports a joint industry project (JIP) involving operator companies active in offshore Newfoundland and Labrador. The JIP is supported through a contract with Petroleum Research NL (PRNL). The project aims to remove obstacle to cost effective developments from marginal oil fields in Atlantic Canada. This will be through developing strategies and techniques to manage the formation of solid like natural gas hydrate in subsea production systems. The MITACS support will be used to hire a Postdoctoral fellow (PDF) to support the activities envisaged in the main JIP project. The PDF will be supporting computational modelling and design and operations of tests systems at C-CORE and Memorial University (MUN) Hibernia EOR facilities.

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Faculty Supervisor:

Sohrab Zendehboudi

Student:

Partner:

M.A. Procense Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Advanced AI for Demand Forecast in Fashion and Apparel Retailing

The ultimate objective of the project is to develop an AI-based framework addressing the forecasting needs of a typical fashion and apparel retailer. The project activities involve development of models predicting demand for particular fashion and apparel items in the context of different customer groups, as well as techniques for identifying fashion trends. The developed methods and algorithms will be able to handle uncertainty, as well as imperfection and missing information. Graph-based formats for representing relevant information will be explored. The project will demonstrate applicability of AI methods to solve real-world challenges.

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Faculty Supervisor:

Marek Reformat;Petr Musilek

Student:

Partner:

FIND Innovation Labs Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

BIM-based Seismic Performance Assessment of Buildings for Post-Earthquake Rehabilitation

As many of the existing buildings are reaching almost the end of their actual design life, new buildings are replacing them with more innovative and complicated technologies. At the same time, there are concerns and uncertainties about probabilistic structural failures and undesired structural system behaviors. The performance of these building under loads such as earthquakes and other natural disasters are of great interest. Therefore, seismic damage assessment of buildings for post-earthquake rehabilitation have received significant attention in the rcent times. It is important to improve the resilience of these buildings and minimize the loss due to natural hazards. The proposed study aims to improve existing seismic damage assessment of buildings and provide a mechanism for visualization of their performance and damage states based on the data from on-board instrumentation.

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Faculty Supervisor:

Ashutosh Bagchi

Student:

Partner:

9420410 Canada Inc

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Simulation and modifications of an industrial scale dehydrator

CanDry is currently in R&D stage developing a dehydrator for drying organic and in-organic materials. A prototype is built for testing purposes which will help to design a good quality product. For modifying the design of prototype, we need to simulate the electromagnetic behaviour of the system and run multiple tests to compare the simulation design with the practical outcome. Additionally, as our technology is a combination of 4 commonly used drying solutions, the system needs to be tested to find out the effects of the different factors on the performance of the prototype and find the best operating points. Also, for controlling the amount of radiations, it is required to have an understanding of the temperature and moisture level in the drying chamber. Therefore, another intern is needed to develop a reliable monitoring system.

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Faculty Supervisor:

Shahab Sokhansanj

Student:

Partner:

CanDry Technologies Inc.

Discipline:

Engineering

Sector:

Manufacturing and Construction; Biotechnology; Clean Technology

University:

The University of British Columbia

Program:

Accelerate

Elaboration of a high-throughput toolbox for analysis and visualization of mesoscale longitudinal cortical imaging dataset

The analysis of large, complex data helps scientists from different fields (e.g. physics, chemistry, biology) to provide new insights on their research. The field of neuroscience is no different. Larger and more complex studies which create huge amount of data are more and more common. Thus, the development of tools capable of processing large datasets is necessary to further advance our understanding of the brain function. Despite some limited efforts to address this issue, there is a lack of software resources capable of dealing with these datasets. Thus, in this project, the intern will contribute to the creation of a new open source software designed to manage and process large datasets from brain optical imaging experiments. This project will help the partner organization to gain visibility in the market of biomedical research instruments by associating the software with the equipment sold by the company.

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Faculty Supervisor:

Matthieu Vanni

Student:

Partner:

LabeoTech

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

Enrichment strategy for cardiovascular clinical trials

Cardiovascular clinical trials try to demonstrate the benefit of a medication on populations where the number of participants with the targeted disease is very low. The low efficacy of treatment is partially due to the diversity of diseases and of the population. To improve the efficacy of treatment, it is necessary to improve the recruitment of participants that are at greater risk of the studied disease through a process known as “population enrichment”. This project proposes the development of a tool for population enrichment by identifying participants at greater risk of a cardiovascular event based on laboratory blood work, clinical data, and specific genetic mutations. This will allow further identification of subgroups most likely to benefit from cardiovascular treatment. Ultimately, this technology could become a stepping stone for the use of precision medicine in cardiovascular diseases.

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Faculty Supervisor:

Hélène Girouard

Student:

Partner:

Perceiv AI

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

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