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

Learning from the river: improving the resilience and ecological value of tidal marsh creation projects in Pacific Northwest estuaries

The tidal marshes of the Fraser River Estuary support numerous species, including juvenile salmon, and offer benefits to nearby communities. To counteract marsh losses, over 100 tidal marshes have been constructed in the estuary from the 1980s to present. Yet after 40 years, key knowledge gaps still limit our confidence in their ability to support juvenile salmon and persist in the long-term. This study aims to address these knowledge gaps by (1) measuring and comparing the abundance of juvenile salmon and their invertebrate prey between created and natural marshes, (2) studying and learning from areas of ongoing “natural” marsh expansion in the estuary, and (3) applying and testing innovative marsh creation approaches via a marsh creation pilot project. This research will inform and improve how tidal marshes are constructed and restored in the estuary, with wide-reaching benefits to both industry, governments, and ENGOs.

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Faculty Supervisor:

Tara Martin

Student:

Partner:

Raincoast Conservation Foundation

Discipline:

Earth science

Sector:

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

University:

The University of British Columbia

Program:

Accelerate

Optimisation de la qualité de l’eau en filtration sur berge par l’identification de séquence de pompage

La filtration sur berge (FSB) est utilisée depuis plus de 200 ans comme méthode naturelle pour pré-traiter l’eau de surface. Cependant, des défis persistent quant à la préservation de la qualité de l’eau au fil du temps,
notamment en raison de l’augmentation des taux en fer et de manganèse dans l’eau brute. Ce projet vise à améliorer la qualité de l’eau brute dans les systèmes de FSB en optimisant les séquences de pompage. Les
personnes stagiaires étudieront i) les variations de la qualité et ii) la traitabilité de l’eau brute. Ces avancées contribueront à optimiser l’efficacité de la FSB, réduisant ainsi les coûts associés à la potabilisation de l’eau, ce
qui est d’une importance majeure pour la municipalité impliquée dans ce projet.

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Faculty Supervisor:

Janie Masse-Dufresne;Benoit Barbeau

Student:

Partner:

Ville de Sainte-Marthe-sur-le-Lac

Discipline:

Engineering

Sector:

Public administration

University:

École de technologie supérieure

Program:

Accelerate

The Central Role of Spectroscopy in Fighting Back the Opioid Crisis: Pushing the Limits of Detection of Fentanyl Analogues

The overarching goal of this project is to develop optimized instrumentation and methods for the detection of potent drugs such as fentanyl. SCATR Inc. is a company that develops hardware and software innovative solutions for drug checking with the goal to reduce the harm caused by the use of unknown substances. The collaboration between SCATR and the nanophotonics research laboratory led Dr Lagugne will enables news approaches in particular to detect low amounts of very potent drugs contained in multicomponent mixtures. In particular, the detection of fentanyl analogues will be targeted thus improving of capacity to rapidly detect and quantify this very dangerous substance that causes over 7,500 lethal overdoses per year in Canada.

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Faculty Supervisor:

François Lagugné-Labarthet

Student:

Partner:

Scatr

Discipline:

Physics

Sector:

Manufacturing

University:

The University of Western Ontario

Program:

Accelerate

Developing novel pea varieties with improved flavour, aroma, and digestibility

Pea protein is an excellent alternative to animal protein for consumers that are concerned with the environmental, ethical, or health implications of animal agriculture. Unfortunately, many consumers can not make dietary choices that align with their other concerns as pea protein has several undesirable traits impeding consumers from adopting pea protein into their diets. These traits include unpleasant flavours and aromas in pea protein and difficulty with its digestion. However, in the last 10 years a new technology called gene-editing has been developed. This technology allows for precise genetic modifications to be made in peas allowing for the development of novel traits that would be prohibitively time intensive using conventional breeding. In this project we will utilise gene-editing to create pea varieties that have better flavor, aroma, and digestibility to reduce the friction preventing consumers from adopting pea protein into their diets.

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Faculty Supervisor:

Dae-Kyun Ro

Student:

Partner:

AgGene

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Forest Management Hydrological Modeling Tool

The “Forest Management Hydrological Modeling Tool” ARD project will create a scientifically-sound, web-hosted hydrological modelling application for inter-provincial use in Alberta and BC by GIS foresters, forestry consultants & planners to investigate the cumulative effects of proposed forest development and climate change on hydrological indicators of concern in a watershed.
Selkirk College will partner with the universities of British Columbia and Northern British Columbia; MacDonald Hydrological Consultants; the Foothills Research Institute of Alberta; forestry major Interfor; family-operated Kootenay region forestry companies Atco Wood Products and Kalesnikoff Lumber; and BC Timber Sales, a Crown Corporation, to produce:
Process-based hydrological models for watersheds of the Monashee, Selkirk and Purcell ranges: to drive analysis of disturbance and climate change scenarios using hydro-climatic data and represent dominant hydrological processes across the study regions.
A web-based watershed assessment tool: easily accessible by forestry professionals, professional hydrologists, and land managers to support watershed assessment and decision making at relevant spatial and temporal scales, enabling users to interactively evaluate cumulative effects of landscape disturbance (forest harvest plans) and climate change on key indicators.

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Faculty Supervisor:

Terri MacDonald;Nicholas Coops;Kim Green;Tara Clapp;Jonathan Doyle

Student:

Partner:

Atco Wood Products;Interfor;MacHydro

Discipline:

Earth science

Sector:

Agriculture; Professional, scientific and technical services

University:

Selkirk College

Program:

Accelerate

Developing Rapid Battery Charging infrastructure in Kelowna for Transit: A Techno-Economic and Environmental Assessment

Electric Vehicles (EVs), which have zero tailpipe emissions, are an innovative and proven alternative transportation solution for regions with a low-emission electricity grid mix. However, most studies to date are motivated by increasing market penetration of private EVs, and they generally focus on the distribution of charging points across the transportation network. Battery-electric buses (e-buses) neither have a continuous power supply nor generate electricity onboard. Hence, e-buses require recharging during daily operations without interrupting the predetermined bus routes and schedules. The performance of e-bus transit systems for specific routes is greatly affected by the charging patterns and queuing times of e-buses. Performance is also dependent on the efficiency and charging time of batteries, and charging patterns and queuing times are affected by the number of recharging stations in the route and the charging policy deployed. Hence, determining an efficient layout for recharging infrastructure, appropriate sizing of battery capacity, and having a detailed policy framework are three key factors to enable battery-powered e-bus operation in public transit systems. The goal of this project is to conduct a detailed study to determine the fleet and rapid-charging infrastructure requirements for an e-bus transit system. T

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Faculty Supervisor:

Kasun Hewage;Rehan Sadiq;Jian Liu;Mahmudur Rahman Fatmi

Student:

Partner:

City of Kelowna

Discipline:

Engineering

Sector:

Public administration

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Real time adaptive robot control and data management in an artificial intelligence driven powder coating process

Today, the manufacturing industry is facing a very rapid revolution. The end users of products can order at any time, in any quantity and always with very short delivery times. The shopping digitalization dramatically changes the consumption landscape in a global competition environment. Consequently, the industry is forced to adapt the way they are producing. On demand production and customisation of products in a small quantity is now the new standard.
In addition to this phenomenon, the scarcity of the labor, increases the difficulty to recruit the requested highly qualified workforce to execute the operations to produce very diversified parts under low volumes.
To address this challenge, this project, which is one of three sub-projects in the frame of developing autonomous robot to perform a high diversity of low-repetitive tasks, will develop the control of a robotic arm to paint different patterns along with the automated data pipelines to gather and organise the parameters for continuous improvement and exchange of information between the various systems.

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Faculty Supervisor:

Rolf Wüthrich

Student:

Partner:

Festo Didactic Ltd;Technologies NeurobotIA

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Automated Breast Cancer Digital Pathology Image Scoring using AI

Ki-67 is a promising biomarker in breast cancer and the Ki-67 labeling index, or the percentage of Ki-67-positive cells, has great prognostic potential particularly in carcinomas of the breast. To overcome the challenges of manual calculation of ki67 proliferation index, in this project we will design and develop computational pathology and artificial intelligence (AI) algorithms to automate Ki67 quantification for tissue microarrays (TMA) and wholeslide images (WSI). AI can provide objective and efficient Ki67 scoring which would allow for more accurate diagnosis and turn-around times, which improves quality of care. Further, automation can be used to develop guidelines and standards for Ki67 scoring which will accelerate wide-scale clinical adoption.

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Faculty Supervisor:

April Khademi

Student:

Partner:

Pathcore Inc

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Information and cultural industries

University:

Toronto Metropolitan University

Program:

Accelerate

Development, implementation, and application of a monodisperse model for carbon black formation in a pulsed methane pyrolysis (PMP) reactor

The project will enhance the economics of Ekona’s patented pulsed methane pyrolysis (PMP) reactor. The PMP process allows for co-generation of hydrogen and Carbon Black with 90% reduction in greenhouse gas emissions compared to traditional methods. However, the yield and quality of CB produced via the PMP is uncertain. The goal of the research partnership between Ekona Power Inc, the University of Windsor, and Carleton University is to improve the yield and quality of produced CB from the PMP method. This will be accomplished via application of computationally efficiency CB formation models that can quantify yield and quality and be used in process design and optimization simulations. The project is of paramount importance to Canada in its fight against global warming and climate change while bolstering its economy.

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Faculty Supervisor:

Reza Kholghy;Nickolas Eaves;Nickolas Eaves;Reza Kholghy

Student:

Partner:

Ekona Power

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Carleton University; University of Windsor

Program:

Accelerate

Large-scale implementation of shore power on the St. Lawrence River and Great Lakes for the handysize bulk carrier fleet

Maritime shipping currently emits 2.89% of the world greenhouse gas (GHG) emissions and it is estimated that the sector will reach the road transportation level by 2060. International environmental regulations push the industry to lower their GHG emissions, but the feasibility and viability of future green energy is uncertain. Shore power, also known as cold ironing or alternative marine power, is a key measure to decarbonize the industry. Shore power is a process that aims to reduce the ships emissions in ports by turning ship engines off and supplying the ship by the energy available on shore. The goal of this project is to study the implementation of shore power for bulk carriers on the St-Lawrence and Great Lakes maritime route. In order to do so, many research avenues are considered such as multi-criteria decision making (MCDM) analysis, surveys and recommendations about shore power standards, load management in ships considering port grid capacity and cost operation reduction by ship to grid support and optimization of auxiliary operations in port.

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Faculty Supervisor:

João Pedro Trovão

Student:

Partner:

FedNav

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

Université de Sherbrooke

Program:

Accelerate

Automated Low-Cost Change Detection of Road Infrastructure Assets Using Remote Sensing and AI

Highway infrastructure across Canada is a key national asset that is critical to the mobility and economic prosperity of Canadians. Unfortunately, maintaining highway infrastructure is is a costly and resource draining endeavour. Provincial transportation agencies dedicate billions of dollars to the process on an annual basis. In current practice inspecting the conditions of highway infrastructure assets is a tedious process whereby a crew of at least two individuals drive thousands of kilometers of road at low speeds to identify assets’ where the conditions have changed since the initial installation. For primary highways the same highway is driven everyday. To help automate the process and improve its efficiency and accuracy, this project will involve developing a low-cost framework that uses remote sensing technology to collect data about infrastructure assets. Algorithms that employ principles of machine learning and Artificial Intelligence will then be developed to process the data and provide inspection crew with information about the changes in asset conditions without the need to visit each asset during long and tedious site visits.

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Faculty Supervisor:

Suliman Gargoum

Student:

Partner:

Nektar;Ledcor Highways Ltd.

Discipline:

Engineering

Sector:

Construction and infrastructure; Information and cultural industries

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Modification of Lactococcus lactis Xaa-Pro dipeptidase based on X-ray crystallographic studies using directed evolution approaches

Dairy fermented products receive a lot of attention from consumers. An issue of dairy fermented foods, especially cheese, is a potential development of bitter taste. A main protein in milk is casein proteins. This family of proteins contains much higher contents of proline, which shows very bitter taste in its peptide forms. During fermentation, casein proteins are hydrolyzed and generate a lot of proline-containing peptides. Because of proline’s unique ring structure, proline-containing peptides are not further hydrolyzed into free amino acids by general proteolysis, but requires proline-specific peptidases. This study aims to study the functionality of a proline-specific peptidase: prolidase. We have studied this enzyme from Lactococcus lactis, a common dairy fermenting bacterium, and found the functionality is unique from other common enzymes, i.e., it shows unique behaviour to the change in the substrate concentrations. This study aims to investigate the functionality of this enzyme and modify the enzyme in order to make it suitable for the debittering process. A key experiment is macromolecular X-ray crystallography in this study, and this internship will give the opportunity to the intern to conduct the research in Canadian Light Source for this experiment.

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Faculty Supervisor:

Takuji Tanaka

Student:

Partner:

Canadian Light Source

Discipline:

Life Sciences

Sector:

Agriculture and Food; Biotechnology; Life Sciences (not health)

University:

University of Saskatchewan

Program:

Accelerate

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