Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Valorization of agricultural residues to value-added products

Oats and faba beans, often wasted in current processing methods, can be transformed into valuable food products. This can increase their economic potential and lessen environmental impact. Our proposal breaks down crop residues into sugars and lignin. Sugars are fermented into single-cell protein, while lignin is converted into vanillin. This vanillin, combined with sugars, produces capsaicinoids like capsaicin, a common spice and flavoring agent. This scheme creates new revenue streams and can be implemented on farms.

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Faculty Supervisor:

Vikramaditya Yadav

Student:

Partner:

C-Merak Innovations Inc.

Discipline:

Engineering

Sector:

Agriculture; Manufacturing

University:

The University of British Columbia

Program:

Accelerate

AI-driven Methods for Patrol Vehicle Dispatch and Route Optimization Under Uncertainty

A security company needs a method to dispatch patrol vehicles and plan vehicle routes to reduce costs, maximize revenue, and deliver to customers the best value. Vehicle dispatching and routing planning are two well-known combinatorial optimization problems (COPs) that find wide applications in transportation (e.g., truck routing and luggage handling), logistics (e.g., warehouse planning and goods delivery), communication (e.g., parcel delivery and networking), and many other industries. For example, the ability to solve these COPs can lower transportation costs and cut carbon emissions, which leads to lower costs of gas and groceries and a better environment. This proposal develops hyperheuristics that can configure algorithms and their parameters to solve the COPs by leveraging machine learning tools, metaheuristics, heuristics, and classical mathematical approaches. Different algorithm configurations and information flow paths will be explored, developed, and tested. To tackle uncertainties, a deep reinforcement learning model will be built between unexpected events and optimal solutions, trained with a large number of optimized solutions. This is to avoid re-optimization but leverage existing experiences and hidden knowledge in the optimal solutions. The algorithms will be tested and applied to a selected region (Victoria Branch of the partner company) with a software prototype.

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Faculty Supervisor:

Gary Wang

Student:

Partner:

Paladin Security Group Ltd.

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

Simon Fraser University

Program:

Accelerate

Application of A.I. Techniques and Remote Sensing to Predict Water Quality

The project will develop an A.I. based model and framework to predict water quality conditions in lakes and/or larger streams using satellite imagery. The approach will be generalized and automated so that it can be easily applied to quantify water quality for water bodies in various regions within Canada. Models will be trained using government sourced and community based monitoring data, where available. The technology will be integrated into a web-based application to enable easy access to data and analysis tools.

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Faculty Supervisor:

Prasad Daggupati

Student:

Partner:

Greenland International Consulting

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Identifying and developing select Roullier Extracts as organic, shatter tolerant, foliar application in canola

Canola is an important oil seed crop grown in western Canada and many parts of the world for its oil, biofuel, and meal utilization. One of the challenges faced by Canola growers is pod shatter which can lead to significant yield losses. With the advancement in seed technology and trait improvement there are now innovative solutions available to help mitigate this problem. Biostimulants specially seaweed extracts are being applied in agricultural crops to promote growth, prevent pests and diseases, and improve the quality of the products.The main goal of this project is to understand the role of Roullier extracts from Timac Agro on Canola pod shatter. Roullier extracts will be sprayed on three independent Canola varieties and change in pod shatter resistance will be analyzed through phenotypic, histological and genetic changes in pod architecture.

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Faculty Supervisor:

Marcus Samuel

Student:

Partner:

Timac Agro Canada

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Calgary

Program:

Accelerate

Assessment of resistant starch in extruded and canned pet food formulations

Extruded pet foods are produced using steam, water, and shear that gelatinize starches in the formula. The type of starch and extrusion parameters influence the texture, palatability, and expansion of the kibble. Different types of starch may be less accessible to digestive enzymes. Resistant starch, an indigestible starch that is fermented by bacteria in the gut, may have some positive health impacts on pets. Taplow Ventures Ltd produces extruded and canned pet food under the brands FirstMate and KASIKS. Given the potential benefits of resistant starch to overall pet health and the variation present in commercially available pet foods, the objectives are to quantify the levels of resistant starch in pet food and better understand the potential impacts of increased resistant starch on overall pet health. This will be carried out using established analytical methodologies (e.g., enzymatic) to quantify resistant starch and in vitro digestibility.

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Faculty Supervisor:

Vasileios Kontogiorgos

Student:

Partner:

Taplow Ventures Ltd.

Discipline:

Life Sciences

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Life Cycle Assessments for Emerging Direct Air Capture Technologies

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Faculty Supervisor:

Sean McCoy;Heather MacLean;Sylvia Sleep

Student:

Partner:

Deep Sky

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Multi-Modal Wild Salmon Enumeration and Monitoring: A Video and Sonar-based Deployment in Indigenous Rivers of British Columbia

We develop a real-time salmon monitoring system and web application that includes automated counting using computer vision technologies, lowering our partner’s technician resources in performing manual counting. We will deploy the monitoring system in at least nine river locations with small computer hardware capable of deep learning acceleration to run the automated counting system in real-time. The system will have species detection and multi-object tracking to recognize the salmon species and track them across multiple video frames for counting. The sonar system will convert the raw sonar data into video and split them into different regions called stratums before processing. Transferring the sonar data from the rivers while considering the stratums will lower network costs. Low Earth Orbit (LEO) satellite networks will transfer data offsite, where optimization of freezing the congestion window at specific times can help deal with the dynamic satellite movements and improving the throughput of the network.

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Faculty Supervisor:

Jiangchuan Liu

Student:

Partner:

Pacific Salmon Foundation

Discipline:

Computer science

Sector:

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

University:

Simon Fraser University

Program:

Accelerate

Engineering the moss Physcomitrium patens to produce the monoterpene indole alkaloid strictosidine

This project aims to genetically engineer moss to make the molecule strictosidine. Strictosidine is a building block molecule upon which many important medicines are made, including cancer drugs, sedatives, and heart medications; together, these compounds are classified as monoterpene indole alkaloids (MIA). Current methods of making MIAs rely on extraction from plants such as Madagascar periwinkle, which make MIAs in very low amounts and can only grow in tropical locations. This has led to shortages of essential MIA medicines. The moss species Physcomitrium patens can be genetically engineered to make complex plant molecules and grown in enclosed bioreactors anywhere in the world. By making strictosidine in moss, we will be taking the first step in ensuring a secure supply of MIA-based medicines.

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Faculty Supervisor:

Sherryl Bisgrove

Student:

Partner:

BryoSphere

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Développement d’un procédé de culture aérobique de cellules de la plante Catharanthus roseus pour la production de molécules à haute valeur ajoutée

Les végétaux produisent de nombreuses molécules bioactives pour lesquelles il n’est pas économiquement rentable de les synthétiser. La demande pour certaines de ces molécules dépasse l’approvisionnement à l’échelle mondiale, mais nombreuses de ces espèces sont d’origines tropicales et leur culture est difficile à rentabiliser en sol canadien. Des méthodes de production alternatives existent, comme la production en bioréacteur utilisée pour la production de molécules par des bactéries et levures. Ce projet vise la production de biomolécules en bioréacteur à partir de cellules végétales cultivées en milieu liquide, méthode innovante peu utilisée à l’échelle industrielle pour des molécules végétales d’intérêt. Le projet adaptera et optimisera des méthodes de production en bioréacteur selon les contraintes spécifiques aux cellules végétales compétentes. La production en bioréacteur permettra à l’entreprise Viridios de fournir un approvisionnement continu d’un portfolio de biomolécules d’intérêt pour de multiples industries, dont celles des suppléments alimentaires et nutraceutiques.

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Faculty Supervisor:

Mario Jolicoeur;Guillaume Théroux-Rancourt;Guillaume Théroux-Rancourt

Student:

Partner:

Viridios

Discipline:

Life Sciences

Sector:

Manufacturing

University:

College d’enseignement general et professionnel de La Pocatière; Polytechnique Montréal

Program:

Accelerate

Smart framework for sustainable management of wastewater pumping stations

Wastewater pump stations (WPS) are essential for managing wastewater in urban areas. They ensure wastewater is conveyed to treatment plants and prevent overflows of untreated wastewater into the environment. The main objective of this project is to develop an innovative and practical real-time WPS control framework. This framework will forecast wastewater inflows and optimize WPS operation in real-time by minimizing energy use and sewer overflows. A variety of forecasting and optimization approaches will be explored and compared. The best forecasting model and optimization algorithm will be integrated within a control framework, as part of the Saas Nordicité platform of the industrial partner, Nordikeau. This integrated solution will be applied to an existing pump station to offer real-time pump sequence recommendations.

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Faculty Supervisor:

Rebecca Dziedzic;Rodolfo Coutinho

Student:

Partner:

NORDIKeau Inc

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

Concordia University

Program:

Accelerate

Development of a robust polymerase chain reaction method to genotype three key genes attributed to Alzheimer’s Disease risk using saliva

Alzheimer’s Disease (AD) accounts for 60-80% of cases of dementia in people over 65 years of age and affects over 50 million people worldwide and is expected to affect at least 150 million by 2050. Three risk genes, that were identified with strong association with late onset AD, are the topic of this research study – APOE, ABCA7 and PICALM6. Knowledge of the status of individuals at specific loci of these genes is useful in devising precision nutrition and other interventions that might contribute to preventing the development of AD. The intention is to streamline earlier diagnosis of AD which effectively leads to improved patient outcomes following pharmaceutical interventions. In developing this innovative technology to detect AD risk genes rapidly and accurately, revolutionizing the diagnostic process for the at-risk population.

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Faculty Supervisor:

Michelle Bamji-Mirza

Student:

Partner:

GeneRxN Research Corporation

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

La Cité

Program:

Accelerate

Natural Soil Binders for Enhancing Quicklime-Induced Solidification/Stabilization (S/S) of Hydrocarbons in Contaminated Soils

Solidification/Stabilization (S/S) technology is a cost-effective, viable option for immobilizing inorganics (metals), but its applicability to soils hydrocarbon-contaminated soils (organic) has been limited. Dr. Chang’s Lab at the University of Saskatchewan has observed the significant potential for immobilizing and stabilizing hydrocarbons in soils through quicklime-induced S/S reactions with natural clay minerals. This Mitacs Research in collaboration
with Graymont, a world-class lime producer, will further explore quicklime-induced S/S for hydrocarboncontaminated soils by leveraging natural soil components (<425 µm), including the natural products of physical, chemical and biological weathering in the field. Natural soil binders may contain hydrophilic and hydrophobic constituents that can link hydrocarbons to the stabilized quicklime-soil matrix. Hydrocarbons are the most identified contaminants in site soils in Canada. This research will expand quicklime applications for mitigating the environmental footprint of excess carbon in soil environments.

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Faculty Supervisor:

Wonjae Chang

Student:

Partner:

Graymont

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Saskatchewan

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.