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

Further development of protein-based biosensors and assessment of their commercialization potential within the Canadian aquaculture industry

In the agri-food industry, monitoring the production and/or processing of raw materials can be important for ensuring the quality of the end-product. Measurement of specific compounds during processing can provide the feedback required to make informed adjustments resulting in a quality enhancement of the product. Biosensors are the devices that can provide detection and/or quantification of specific chemical compounds in a sample. For biosensors to be integrated into existing processing they need to provide accurate results in little time, be cheap, and simple to operate. Protein-biosensors are a type of biosensor that meet these requirements by providing high sensitivity and selectivity of target compounds, real-time measurement of target molecules, and are biodegradable. We have developed a computational pipeline that allows for expediated production of new custom biosensors. The overall aim of this project is to determine the commercialization potential and feasibility of protein-biosensors in the aquaculture industry.

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Faculty Supervisor:

Hans-Joachim Wieden

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Aquaculture and Fishing; Biotechnology

University:

University of Lethbridge

Program:

Accelerate

Traitement des scories d’aciéries pour l’élaboration de ciments écologiques destinés au remblayage minier

Le remblai en pâte cimenté (RPC) est une technologie innovante couramment utilisée dans les mines profondes grâce à ses performances bien établies. Pour assurer la cohésion des RPC, plusieurs types de liants hydrauliques sont utilisées. Ces derniers présentent, toutefois, quelques inconvénients liés en particulier, à leurs coûts de plus en plus élevés, au caractère polluant de leurs procédés de fabrication et à des surcoûts liés à leurs transport pour les mines, surtout, éloignées. La recherche de sources locales de ciments écologiques et ayant des coûts abordables pour le RPC s’avère une solution pertinente afin de rendre l’opération de remblayage plus économique et écologique. Ainsi, la possible valorisation des scories des aciéries, proches des sites miniers, comme source de ciments écologiques s’avère une alternative prometteuse. Ce projet vise, donc, à examiner l’effet de certains traitements de deux types de scories sur leurs propriétés cimentaires dans les RPC.

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Faculty Supervisor:

Mostafa Benzaazoua;Tikou Belem

Student:

Partner:

Centre de transfert technologique en écologie industrielle

Discipline:

Earth science

Sector:

Mining; Sustainability & the Environment; Environmental Science and Technology

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Development and simulation of the GreeNovel invented plastic recycling and gas cleaning process

The main objective of this project is to design a novel plastic recycling technology invented by GreeNovel Incorporation. The process is based on microwave pyrolysis of the wastes at high temperatures and in the absence of oxygen to be decomposed to pyrolysis-oil and gas. The modelling of the novel microwave pyrolysis system and the product processing section will be performed. The process simulation tool will be provided to determine the properties of the products and operating conditions of each section. Moreover, the energy consumption and specifications of the microwave heating system from the flow data and other operating conditions will be defined. By incorporating the experimental data provided by GreeNovel, the equations describing the phenomena, including movement, mass and energy transfer equations, and Maxwell’s equations, will be solved using the simulation model.

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Faculty Supervisor:

Yaser Khojasteh

Student:

Partner:

GreeNovel Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Computer Algebra and High-Performance Computing Support for Model Predictive Control

In many industrial and engineering applications, process control plays a central role. Among the possible control strategies, model predictive control (MPC), also called receding horizon control (RHC) , stands out for its excellent ability to handle constraints. While MPC has been successfully applied to many industrial applications, further developments are limited when it becomes necessary to solve many large on-line optimization problems. To overcome this situation, parametric optimization is often used such that most of the computation burden is pushed to an off-line phase. In this project, we propose to develop algorithms and software tools based on symbolic computation, to perform parametric optimization together with the corresponding on-line procedures, targeting MPC in the case of polynomial constraints and polynomial objective function . The proposed research will bring together the latest advances in computational real algebraic geometry and high-performance computing techniques.

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Faculty Supervisor:

Marc Moreno Maza

Student:

Partner:

Maplesoft

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Western University

Program:

Accelerate

Bioinspired Unconventional Decontamination (BUD®)

Canada is the third largest exporter and the fourth largest producer of oil in the world. Thus, oil is a very important part of the Canadian economy. Oil is a cleaner fuel than coal, but it still has many disadvantages. For example, oil spills that occurs during transport and drilling can cause great environmental damage. Oil spills into oceans are harmful to marine mammals and birds as well as shellfish and fish. Methods for oil spill cleanup usually remove the oil layer from the surface of the water or break it up to make the oil spill less visible by pushing the effects of the spill underwater. Our response technology targets suspended or sunken oil before deep-sea currents drive the plume of oil far from the oil spill origin. Actually, our response technology is a problem-solving toolbox containing innovative devices/processes (e.g., enzyme mixture, jellyfish like tool) for oil spill cleanup. In this problem-solving toolbox, biological catalysts (enzymes) produced by oil-eating bacteria are used to detoxify toxic components catched by jellyfish tentacles.

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Faculty Supervisor:

Satinder Kaur Brar

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Biotechnology; Environmental Science and Technology; Life Sciences (not health)

University:

York University

Program:

Accelerate

From waste to health: Valorization of Atlantic salmon (Salmo salar) by-products as a source of marine collagen

The global market of marine collagen-added products is tremendously growing, leading to the need for a stable and enormous supply of marine collagen. Atlantic salmon scales and skin are abundant in collagen, however no research has been performed for its extraction. The proposed project will develop an efficient extraction process to maximize the collagen yield, and purify the extracted collagen for its use as the functional ingredient in nutritional supplements and cosmetic products. This research will create a large and lasting supply of marine collagen to the market, so companies that produce and sell marine collagen-added products can have stable and low-cost production of high-value products with competitive price. Furthermore, this project will promote valorization of the large amounts of Atlantic salmon by-products for value addition.

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Faculty Supervisor:

Deepika Dave

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Aquaculture and Fishing; Sustainability & the Environment

University:

Memorial University of Newfoundland

Program:

Accelerate

Energy and emissions reduction through local municipal planning tools in Ontario’s Greater Golden Horseshoe

Municipalities across Canada have declared climate emergencies but are they able to deliver solutions and make change in their communities? What is the role of municipal land use planning tools, such as zoning, green performance standards, and urban design guidelines? Which tools are poised to have the highest impact? Climate change policies related to energy and emissions reductions are now included in virtually all comprehensive municipal plans. The purpose of this research is to understand how policies set out in community climate action plans are going to be implemented. What is the role of municipal land use planning tools, such as official plans, zoning, green performance standards, and urban design guidelines? Which tools are poised to have the highest impact? This research will help Hemson Consulting Ltd. in providing the best support for Canadian municipalities in. Municipalities in Ontario’s Greater Golden Horseshoe will be used a case study of emerging planning tools delivering energy and emissions reductions to help mitigate climate change in Canada.

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Faculty Supervisor:

Laura Taylor

Student:

Partner:

Ontario Professional Planners Institute;Hemson Consulting Ltd.

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Automatic detection and classification of marine biogenic habitats, species, and substrates

Canada works towards designating 30% of our national waters as Marine Protected Area (MPA) by 2030. The need to collect baseline information and monitor such a huge territory, which is equivalent to the area covered by Alberta, Manitoba, New Brunswick, and Nova Scotia altogether, will be next to impossible without a paradigm shift in the way field observation data are processed. We propose a platform for automatic classification of bedrock and species for habitat classification, coastal monitoring, and resource assessments. During the Lab2Market program, our overarching goal is to develop an Artificial Intelligence (AI) powered software that classifies > 30 features including species and types of habitat in the coastal subtidal zone of the Atlantic Coast of Nova Scotia.

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Faculty Supervisor:

Anna Metaxas

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Ocean Tech; Environmental Science and Technology; Artificial Intelligence

University:

Dalhousie University

Program:

Accelerate

Evaluation of Machine Learning Methods for Portfolio Replication of VIX Futures

During the past two decades, the CBOE Volatility Index (VIX® Index), a key measure of investor sentiment and 30-day future volatility expectations, has generated much investor attention because of its unique and powerful features. The introduction of VIX futures in 2004, VIX options in 2006, and other volatility-related trading instruments provided traders and investors access to exchange-traded vehicles for taking long and short exposures to expected S&P 500 Index volatility for a particular time frame. Certain VIX-related tradable products may provide benefits when used as tools for tail-risk hedging, diversification, risk management, or alpha generation. However, all such VIX relevant derivatives simply do not react quickly enough to movements in the spot VIX, which leads to a non-effective hedging performance. On the other hand, there are many other derivatives that can help us to reduce the volatility risk. For example, Peter Carr shows us a promising result using the SPX option only to forecast VIX index by some modern approaches, such as Machine Learning. In this project, we will look at different methods to extend Peter Carr’s work, and their comparative effectiveness in using a combination of SPX options to predict VIX futures.

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Faculty Supervisor:

Matheus Grasselli

Student:

Partner:

QTS Capital Management, LLC.

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

McMaster University

Program:

Accelerate

QUOREM: A data science platform for microbiology research

In the genomics era, microbiologists are collecting data at an accelerating pace. We have created a data science platform called QUOREM that significantly reduces the technical burden experienced by microbial ecologists associated with managing ever-increasing quantities of data. We believe that public and private research groups in Canada could benefit our platform, and the ability to provide commercial support and hosting services is key to driving adoption and growth. We hope to learn how to take the next steps to realizing this vision through Springboard Atlantic’s Lab2Market program.

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Faculty Supervisor:

Robert Beiko

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Computer science

Sector:

Ocean Tech; Oil and Gas; Agriculture and Food

University:

Dalhousie University

Program:

Accelerate

Economical production of polyhydroxyalkanoate (PHA) copolymers from biosolids and/or hemp stems

The objective of the research is to validate and enhance production of polyhydroxyalkanoate (PHA) biopolymers from hemp stems, agricultural waste. Two interns will carry out the proposed work to upcycling hemp stems into the biopolymers with advanced biotechnologies of fermentation and PHA synthesis. The final biopolymers produced from hemp stems will be characterized for physical, chemical and mechanical features for manufacturing plastics. The successful outcomes of the research will facilitate market penetration of biodegradable plastics because of significant cost reduction in PHA production; in current market, feedstock (e.g., corn starch, potato) accounts for 50% of PHA production cost approximately. Advanced characteristics of the biopolymers can be widely used for a variety of petroleum-based plastics from single-use plastics to packaging films, helping Canada to achieve zero plastic waste in future. The proposed upcycling biotechnologies will also promote a circular bioeconomy for Canada to accomplish net zero emission.

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Faculty Supervisor:

Tiz Mekonnen;Hyung Sool Lee

Student:

Partner:

CTK Bio Canada

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

The Search for Unconventional Ores at the Sudbury Structure: Offset Dyke and Sudbury Breccia-Hosted Deposits

The Ni–Cu ores of the Sudbury region were first discovered in 1883. Since then, Sudbury has grown to be the richest mining district in North America. Sudbury represents the site of a meteorite impact structure originally greater than 200 km in diameter and that formed 1.85 billion years ago. Despite the proven and potential economic benefits of resource development at Sudbury, there are still major outstanding questions concerning our understanding of the structure and its ore deposits, in particular the Cu-Ni-PGE deposits in the footwall of the Sudbury Igneous Complex. This proposal seeks to further the understanding of the origin and emplacement of so-called Sudbury Breccia and Offset Dykes that will enable new exploration strategies for finding new deposits in the large, relatively unexplored properties owned by Wallbridge Mining Company Limited.

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Faculty Supervisor:

Gordon Osinski

Student:

Partner:

Wallbridge;Centre for Excellence in Mining Innovation

Discipline:

Earth science

Sector:

Natural Resources; Natural Resources

University:

Western University

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.