Innovative Projects Realized

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

29670 Completed Projects

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Projects by Category

The ARGO Analytics Engine

For producers of film and TV, extending a brand into the digital space can be a daunting enterprise. Estimating how successful a Twitter campaign or an Alternate Reality Game has been in fostering the proliferation and audience goodwill towards a TV or Film entity can be a frustratingly inscrutable endeavor. Even if a campaign seems to have been a critical success–the copious amounts of textual and statistical data at-hand can make it nearly impossible to find out what went right–less, what went wrong. ARGO seeks to solve this problem. With ARGO, Zeros 2 Heroes wants to produce a decision support dashboard for producers in film and television who are looking to promote or extend their property through online digital campaigns.

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Faculty Supervisor:

John Bowes;Thomas Spalek

Student:

Partner:

Zeros2Heroes

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Identify MoA of the UCHT1 domain within the TAC receptor

Triumvira a, Canadian US, post series A, biotech company, working on the development of a new targeted cancer therapies. The core technology is focused on the genetic engineering of immune cells isolated from patients. This process then enables these immune cells to recognise cancer cells that otherwise are invisible to the immune system. These therapies are ideally suited for a systemic eradication of malignant tumor cells. Future refinement of this core technology requires a detailed biological understanding of the core mechanisms that drives the ability of engineered immune cells to specifically recognize and kill cancer cells. The candidate’s project focuses on research that will help Triumvira to better understand their core technology. This knowledge will is expected to enable Triumvira to further refine its core technology providing even more potent anti tumor therapies.

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Faculty Supervisor:

Walid Houry

Student:

Partner:

Triumvira Immunologics

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Optimization of Oat Beverage Process Conditions for Nutrients Recovery

The demand for plant-based beverages by consumers continue to increase due to their sustainability and health benefits. Oat is one of the most promising cereals and seeds to prepare functional plant-based beverage since oat has high amount of dietary fibres and good quality proteins. Earth’s Own is one of the biggest oat beverage producers in Canada and even North America, but more research efforts are needed to increase the nutrient recovery and improve the oat beverage sensory profiles for more competitive products at home and abroad. To the end, the effects of process conditions (such as grain-to-water ratio, mechanical forces, and enzyme levels) on the nutrient recovery and sensory profiles will be understood. This fundamental knowledge will provide valuable guidance to the oat beverage production. The findings of this research could be used to create industrial guidelines that will be used in other companies in Canada.

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Faculty Supervisor:

Lingyun Chen

Student:

Partner:

Earth's Own Foods

Discipline:

Life Sciences

Sector:

Agriculture and Food; Life Sciences (not health); Clean Technology

University:

University of Alberta

Program:

Accelerate

A Visual Analytics System for the Analysis of City Indicators based on Multivariate Indices

With the Regional Council’s adoption of HRM’s Social Policy Framework (2020) and the Public Safety Strategy (2017), Halifax Regional Municipality (HRM) committed to advancing community safety and wellbeing as vital outcomes. To be effective, these outcomes must be measurable, and bring transparency to the impacts of municipal programs, services, and policies. Experts from various HRM Business Units convened a working group with leading researchers in social policy and data visualization and analytics at Dalhousie University to explore solutions to support this process. The resulting tool was a prototype to develop composite indices that combine sets of city indicators to represent abstract concepts, such as safety or wellbeing. The present proposal aims to advance this prototype offering more analytical power to support evaluating the impact of concrete variables (some influenced by the municipality actions) on abstract concepts (e.g., wellbeing) while adding new stakeholders (and their data sets) into the process.

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Faculty Supervisor:

Fernando Paulovich;Evangelos Milios

Student:

Partner:

Halifax Regional Municipality

Discipline:

Computer science

Sector:

Public administration

University:

Dalhousie University

Program:

Accelerate

Design of real-time a localization algorithm for high-flow environments on embedded processor

The deployment of tidal turbine equipment in the Bay of Fundy can potentially impact marine life in the environment. There is a large population of harbour porpoises that can be affected by this equipment, and it is important to detect their presence and locate them. In this work, a tool to visualize harbour porpoises in real-time will be developed so that it can be readily available to visitors at the Fundy Ocean Research Center for Energy Visitor Center in Parsborro. For this purpose, a signal processing tool will be developed on a high-speed processor.

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Faculty Supervisor:

Jean-Francois Bousquet

Student:

Partner:

Fundy Ocean Research Center for Energy

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Population-based recurrence probability map to define the microscopic clinical target volume for salvage radiotherapy after prostatectomy (PORTRAy)

Radiotherapy is an effective method to prevent recurrence of disease after the prostate is surgically removed as part of the cancer treatment process. However, since microscopic disease is not visible by conventional imaging techniques, treatment sites are typically determined based on consensus guidelines. PSMA-PET is a novel imaging modality which is able to detect recurrences with higher sensitivity than existing techniques. We propose to build a population-based probability risk map by registering a large number of positive PSMA-PET/CT images onto a reference patient. We will also apply machine learning methods to leverage information on individual risk factor profiles and population data, which will allow us to adjust and tailor the risk map to each individual patient. In this way, radiation treatments may be better targeted to the regions at highest risk of bearing microscopic disease.

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Faculty Supervisor:

Jean-Francois Carrier;Cynthia Menard

Student:

Partner:

Centre de recherche du CHUM

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Accelerate

Public Transit Feasibility Study for the Town of Happy Valley-Goose Bay

The Town of Happy Valley – Goose Bay is located in the central part of Labrador on the coast of Lake Melville and Churchill River and as such it plays a significant role in the area as a place of employment, education sectors, healthcare facilities, shopping, municipal services and healthcare facilities. With a population of 8,109 in 2016, it observed a huge surge in population between 1971 and 1991 in particular. The community is growing day by day but there is no existence of public transit here. The community people rely heavily on their own motor vehicle but those who does not have any access to a car, struggle a lot. The aim of this research project is to find out a feasible public transit route for the area. Proposed public transit infrastructure can bring a lot of benefits to individuals and local communities such as, it reduces air pollution, traffic congestion and increases mobility or ridership, travel safety as well.

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Faculty Supervisor:

Muhammad Ahsanul Habib

Student:

Partner:

Town of Happy Valley-Goose Bay

Discipline:

Engineering

Sector:

Public administration

University:

Dalhousie University

Program:

Accelerate

Le rôle des municipalités dans le développement et l’épanouissement des minorités de langue officielle au Canada

Cette étude vise à mieux comprendre le rôle des municipalités dans le développement et l’épanouissement des minorités francophones du pays. Elle permettra de mieux définir ce qu’elles font et ce qu’elles peuvent faire. L’organisme partenaire profitera des résultats de recherche afin de poursuivre son travail visant à favoriser la municipalisation des localités qui n’ont pas de gouvernement local en montrant à l’aide de données probantes le rôle que peut jouer un gouvernement local dans le développement des communautés francophones en situation minoritaire au niveau local. Plus largement cette recherche permettra d’analyser quelles sont les meilleures pratiques et dans quelles conditions elles sont mises en place, sachant que l’intervention des municipalités dans le domaine des langues officielles permet de développer des avantages concurrentiels et la création d’emplois.

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Faculty Supervisor:

Michelle Landry

Student:

Partner:

Association francophone des municipalités du Nouveau-Brunswick

Discipline:

Sociology

Sector:

Public administration

University:

Université de Moncton

Program:

Accelerate

Relations avec la communauté et prévention-contrôle des infections : Lignes directrices pour favoriser les rapports sociaux des personnes vulnérables en milieux fermés pendant une crise sanitaire

La mise en œuvre des mesures en réponse à la COVID-19 dans les milieux où sont confinées les personnes avec un trouble mental ou des déficits cognitifs, tels les milieux psychiatriques, correctionnels ou les CHSLD, pose un défi de taille. Il importe d’informer les praticiens et les décideurs des conséquences de ces mesures sur ces populations vulnérables déjà confinées afin de favoriser l’application des meilleures pratiques, qui tiennent compte de la santé et du bien-être des utilisateurs de services. Ce projet vise donc à documenter les impacts des changements de pratiques en réponse à la COVID-19 sur les usagers, et sur l’organisation de ces services ainsi que de mettre sur pied et diffuser un guide de pratiques à adopter en temps de crise sanitaire dans ces milieux fermés.

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Faculty Supervisor:

Audrey-Anne Dumais Michaud

Student:

Partner:

Université de Montréal (Institut national de psychiatrie légale Philippe-Pinel)

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Université du Québec en Outaouais

Program:

Accelerate

Linearization of High Peak-to-Average Power Amplifiers for Digital Broadcast Radio Applications

Broadcast radio is changing from an analog medium based on frequency modulation (FM) to a full digital broadcast based on orthogonal frequency division multiplexing (OFDM). The high peak-to-average power ratio of the OFDM waveform requires different power amplifier topologies and a high degree of linearity. The research in this project analyzes current amplifier performance for digital radio broadcasting in the FM band, investigates new linearization techniques and explores new amplifier topologies. Key research aspects are improving linearity to meet spectral emissions requirements and increasing power added efficiency (PAE) for amplifiers broadcasting a hybrid waveform composed of both an FM and OFDM component that is increasing in injected power with the goal of an all digital OFDM waveform.

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Faculty Supervisor:

Jean-Francois Bousquet

Student:

Partner:

Nautel

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

RISC-V Vector Processor for High-throughput Multidimensional Sensor Data Processing & Machine Learning Acceleration at the Edge

The computing solutions of tomorrow must be more energy efficient than those of today, which requires combined efforts to be conducted on multiple research areas: from new transistor technologies to innovative software algorithms by way of original processor architectures. This project enters into this last research area by revisiting the vector processing model, which provides a highly efficient way of exploiting data parallelism in scientific computations, sensor processing, and machine learning algorithms. Indeed, the efficiency of vector processors comes from their ability to perform parallel-data computations on very large vectors, thereby amortizing the overhead of fetching and decoding instructions. In this project, we aim at developing a state-of-the-art energy-efficient open-source vector processor that follows the RISC-V “V” specifications. To this end, we will explore original architectures – low-precision instructions and autonomous memory subsystems – that will lead to better performances in a reduced power envelope.

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Faculty Supervisor:

Yvon Savaria;Jean-Pierre David

Student:

Partner:

OpenHW Group;CMC Microsystems;ETH Zurich

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Human-Based Study to Characterize the Biomechanical, Physiological and Comfort Impact of Alternative Torso-Borne Loads and Load Distributions

Torso-borne protective clothing and load carrying equipment (ie. bulletproof vests) is fundamental to the safety of Canadian Armed Forces personnel. To make informed decisions on purchasing and developing new equipment, a suite of mannequin-based tools was developed by Defense Research and Development Canada. They are developing a female model to reflect the Canadian Armed Forces’ goal to increase diversity within its ranks, particularly with the representation of women. HumanSystems® Incorporated has been contracted to complete human testing to help validate the new tools. The intern will collect kinematic data from female participants conducting a series of tasks commonly performed in the Canadian Army. These tasks will be completed while wearing a vest, manipulated to simulate different loads and arrangements of torso-borne equipment worn by soldiers. The data will be used to determine the forces and moments on the spine as a crucial step to validating the new system.

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Faculty Supervisor:

Michele Oliver

Student:

Partner:

Human Systems inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate