Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Helmet testing and impact modeling: an approach to better understand the problematic of concussion in short track speed skating

The sport of short track speed skating is an extremely fast paced sport, in which multiple skaters, reaching speeds upwards of 50 km/h, jockey for position on a narrow track. Although skaters wear protective equipment and helmets, concussions continue to plague the health of athletes. Currently, there are no statistics on the ratesand prevalence of concussion in short track speed skaters. Additionally, there is no research that has investigated how current short track speed skating helmets protect the brain.
The first part of this project will investigate the injury data of Quebec short track speed skaters over the past 6 years to establish the rates and prevalence of head injuries and concussions. The second part of this project will test current helmet models against different impact scenarios. The third part of the project will analyze in-lab impact test data using a computer model of the human brain. This computer model will allow us to understand the stresses and strains the skull and brain undergo during impact. These projects are important steps in understanding the prevalence of head injury in short track speed skaters, as well as a deeper

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Faculty Supervisor:

David Pearsall

Student:

Daniel Aponte

Partner:

Discipline:

Kinesiology

Sector:

Medical devices

University:

Program:

Accelerate

A humane pigeon management plan for TransLink: the case of Ovocontrol P

Pigeons can act as pests for the ability to spread disease as well as ruin infrastructure with their excrement. At Skytrain stations, they cause delays by triggering intrusion alarms as well as erode infrastructure. By attempting to reduce population numbers using a type of avian reproductive control that does not effect the environment or other species called Ovocontrol P, we can attempt to reduce population numbers in a humane way that does not involve culling the pigeons. This is beneficial to the BC SPCA as it promotes humane wildlife control and is beneficial to TransLink as it can minimize the problems and damage that the pigeons cause. This research project aims to monitor pigeon populations, observe the efficacy and efficiency of Ovocontrol P and assess the feasibility for TransLink to regularly employ this wildlife management method.

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Faculty Supervisor:

Ronaldo Cerri

Student:

Konstantina Xenakis

Partner:

British Columbia Society for the Prevention of Cruelty to Animals

Discipline:

Animal science

Sector:

Life sciences

University:

Program:

Accelerate

NLP sentiment analysis for contact and support centers

In today’s competitive market, customer service has become essential to any company willing to expand and increase its business. Companies cannot afford to fall short of consumer expectations. With the recent progress in Artificial Intelligence (AI) and the impressive results in different industrial areas, companies are adopting AI techniques for customer service. Most of the applications of AI in contact centers are based on the use of chatbots. These conversational agents are trained to interact with the customer and answer questions. These AI solutions does not provide ways to measure customer satisfaction. This part is still handled manually through customer satisfaction surveys sent by emails, phone or online. However, on average, only third of the surveys get responses. AI can play an interesting role in measuring customer satisfaction by directly analyzing the customer-agent interaction. TO BE CONT’D

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Faculty Supervisor:

Moulay Akhloufi

Student:

Abdoulaye Ly

Partner:

Summatti Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Braiding new possibilities for co-existence: holding spaces for difficult conversations

This project uses social cartography as its main methodological and collaborative tool to map practices that enable or hinder successful collaborations in spaces of socially engaged art between members of various communities in historic dissonance. These include artists from Indigenous and other racialized communities. More specifically, this project explores the potentials of post-representational uses of social cartography, as forms of “cognitive art” that are socially engaged in ways that challenge dominant forms of representation and agenda setting. The partner organisation in this project, the Musagetes Foundation, is supporting many projects of socially engaged art and this project will produce collaborative cartographies with the supported artists that will model the creation of spaces of encounter that are inclusive, open and rigorous. The process will be documented and reported in scholarly articles and reports available via Musagetes ArtsEverywhere website to other audiences and organizations.

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Faculty Supervisor:

Vanessa Andreotti

Student:

Rene Su?a

Partner:

Musagetes Foundation

Discipline:

Education

Sector:

Education

University:

Program:

Accelerate

Teaching artificial agents to play complex video games from demonstrations

The goal of this research project is to develop novel technics to teach artificial agents how to play complex video games using reinforcement learning and demonstrations. Namely, we wish to propose a novel approach for learning from demonstrations, in which an agent simultaneously learns a behavior and the corresponding reward signal. This training procedure will rely on generative adversarial imitation learning in order to learn from expert demonstrations (in our case from players). We also want to tackle the problem of player-artificial agent cooperation, where we want to improve the robustness of current imitation learning techniques to mimic a player’s gameplay by extending the imitation learning procedure with reinforcement learning.

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Faculty Supervisor:

Christopher Pal

Student:

Paul Barde

Partner:

Ubisoft

Discipline:

Computer science

Sector:

Media and communications

University:

Program:

Accelerate

Developing Genomic Tools for Improved Oyster Production in Eastern Canada

This project aims to develop genomic tools to enhance Eastern oyster (Crassostrea virginica) aquaculture in Canada. Genomic tools have the power to improve selective breeding programs by accelerating production, increasing profitability, and ensuring environmentally responsible practices. However, genomic tools are lacking for the Eastern oyster. This study will design and validate the first high-density panel of genomic markers specific to C. virginica. The partner organization (L’Étang Ruisseau Bar Ltd.) is the leading producer of Eastern oyster hatchery seed. The development of genomic tools will provide a tremendous benefit to the organization, allowing for accelerated production of a significantly improved oyster strain with improved hatchery yields. Moreover, this project aims to characterize the genomic basis of valuable traits and environmentally driven selection. The results of this project will further our understanding of the link between genotype, phenotype, and environment, promoting improved growth in the field and long-term commercial success.

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Faculty Supervisor:

Louis Bernatchez

Student:

Amanda Xuereb

Partner:

Discipline:

Biology

Sector:

Fisheries and wildlife

University:

Program:

Accelerate

Next Generation User Product Documentation

Product documentation is an important information tool connecting any business to its end-users and customers. Comprehensive product documentation will likely result in positive evaluation of the products by the customers and may influence their future purchasing decisions. Many studies show product documentation remains an essential element of any new product even for modern electronic devices used for information and communication technologies. Paradoxically, comprehensiveness of product documentation may increase its complexity, rendering it unusable for the customers partly due to information overload. Survey results showed the major challenges in developing valuable product documentation to be: customer demands for concise customized information, product complexity requiring large volume of information, shortened documentation lifecycle due to technological advancements, and reduced budgets to produce sophisticated documentation. This project will examine existing documentation, explore alternative means of delivering product information to the end-users in order to deliver an exceptional user experience and improve ease of use.

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Faculty Supervisor:

Kimiz Dalkir

Student:

Peymon Montazeri

Partner:

Ciena Corp.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Improvement of inductively coupled plasma mass spectrometry for single particle and single cell analyses

The increasing use of engineered particulate matter in a variety of fields, including medicine, cosmetics and textiles, results in greater human exposure than in the past. As this matter may be swallowed or breathed in and penetrate the blood stream where it may reach organs and exert a toxic effect, techniques are needed that can quickly measure minute amounts of this matter in various media, such as the air that we breath, the water that we drink and the food that we eat. This project will use simple, yet efficient, approaches to improve the capabilities of an instrument manufactured by PerkinElmer. This will not only help PerkinElmer remain at the forefront but will give it an edge over its competition. In fact, the improvements will also be applicable to other types of analyses done with the PerkinElmer instrument, which will further increase its competitiveness versus other instrument manufacturers.

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Faculty Supervisor:

Diane Beauchemin

Student:

Ram Lamsal

Partner:

PerkinElmer Inc

Discipline:

Chemistry

Sector:

Environmental industry

University:

Program:

Accelerate

Dynamic System Equivalents for Transient Stability Studies

It is difficult to perform the dynamic analysis on large scale power systems within a desirable time frame. Most utilities therefore resort to reduce the scale of power system by representing the external system using an equivalent network. This project proposal in conjunction with Manitoba HVDC Research Centre aims to develop simulation based methods complemented with modal methods to obtain a dynamic system equivalent for the external power system. The main task of this technique is to obtain the actual system responses to applied disturbance and identify the parameters of the external equivalent circuit. The proposed method will help utilities to generate an equivalent circuit to capture the impact of the external system, which will enable dynamic simulation of large power systems with faster computational time.

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Faculty Supervisor:

Udaya Annakkage

Student:

Rong Guo

Partner:

Manitoba Hydro International Ltd

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Program:

Accelerate

An evaluation of alternatives to diesel fuel for use in Canada’s class 8 heavy-duty vehicles.

Canada has committed to combatting climate change. To do this, Canada must find ways to reduce greenhouse gas (GHG) emissions from the country’s most polluting sectors. Transportation accounts for roughly a quarter of the country’s total GHG emissions, and though electric vehicles have been identified as a promising strategy for passenger vehicles, a viable alternative to diesel for Canada’s trucking industry is unclear. This research will identify the most promising alternatives to diesel for implementation in Canada based on their ability to reduce GHG emissions at the lowest cost. It will focus specifically on Canada’s most common truck, the tractor trailer. This research will evaluate the ease of adoption of each alternative based on the scale at which the technology has previously been used.

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Faculty Supervisor:

Daniel Posen

Student:

Madeleine Ewing

Partner:

Pembina Institute

Discipline:

Engineering - civil

Sector:

Alternative energy

University:

Program:

Accelerate

In vitro digestibility of resistant starch after high-temperature cooking with Rapid Visco Analyzer 4800

In this project, the intern will have the opportunity to work in Perten Instruments Canada and Carbohydrate Chemistry and Utilization Laboratory at the University of Saskatchewan to use the latest model of Rapid Visco Analyzer 4800 (developed by Perten Instruments) to evaluate the performance of resistant starch. The new instrument has the capability to heat resistant starch slurry up to 140°C, which is a significant improvement from previous models as they can only reach a heating temperature of 95°C. This unique feature will enable food ingredient and processing companies to evaluate the digestibility of resistant starch during high temperature food processing, such as in the manufacture of canned, extruded, and dairy products. The research will significantly expand our knowledge on the digestibility of resistant starch, which will be essential for utilizing RVA 4800 as a powerful tool to assess the application value of resistant starch ingredients in different food products.

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Faculty Supervisor:

Yongfeng Ai

Student:

Siyuan Liu

Partner:

Perten Instruments Canada

Discipline:

Food science

Sector:

Agriculture

University:

Program:

Accelerate

IRIS FaceMatch: A secure face-based identity detector without racial bias using deep learning

This project aims to address the race bias of face recognition technology by developing new face feature sets and building the suggested models based on an equal number of images from varied-race photos using appropriate deep learning algorithms. This research seeks to deliver industry partner IRIS with guidelines for a developed prototype that facilitates the adoption of IRIS’s FaceMatch technology for enhancing police capabilities to find unidentified individuals based on their photos while saving labor force and other police resources. Fixing this bias enables IRIS to serve police at different provinces and extend the usage of the IRIS FaceMatch to other applications, such as searching for friends based on their photos.

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Faculty Supervisor:

El Sayed Mahmoud

Student:

Siraj Hamza

Partner:

IRIS Research and Development Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

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