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

Sensor-Agnostic Machine Learning Models for AAL and Domotics Sensors

In an innovative collaboration, Ubilab at Waterloo University and the eBioMed platform at BMBI have developed a sustainable technological system to support elderly individuals living alone in retirement homes. This project, set to be deployed across six retirement homes in Canada, involves the use of minimal sensors to monitor and analyze the daily activities and potential emergencies of the residents. The system integrates sound recognition IoT devices, including microphones with Raspberry Pi boards, along with smart home sensors such as door contacts, motion detectors, temperature, and air quality sensors. Over a 12-month period, these devices will collect continuous data to provide insights into the Activities of Daily Living (ADL) and detect situations like distress or infectious illnesses. Leveraging Artificial Intelligence (AI) techniques, the project aims to analyze this data to enhance the safety and well-being of elderly individuals. Participants in this initiative will also focus on the maintenance and evolution of the system, ensuring its effectiveness and adaptability. This project represents a significant step towards utilizing technology to improve elderly care, showcasing the potential of AI and IoT devices in creating a safer environment for the aging population.

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Faculty Supervisor:

Plinio Pelegrini Morita;John McPhee

Student:

Partner:

Université de Technologie de Compiègne

Discipline:

Engineering

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

Study the heterostructures of CVD-grown transition metal dichalcogenides and metal oxides from spatial atomic layer deposition

2-dimension (2D) materials have gained academic and industrial attention due to their high surface area-to-volume ratios, strong interatomic bonding, and good mechanical flexibility, making them suitable for a wide range of applications including energy storage, optoelectronics, and healthcare. An important step in realizing their potential is to build heterostructures by stacking 2D materials with thin metal oxide films. This can be primarily achieved by
1. Depositing metal oxides via Atomic Layer Deposition (ALD) onto 2D materials.
2. Growing 2D materials directly on metal oxide substrates.
While the former method might appear straightforward, metal oxide deposition remains challenging due to the passivated surface of 2D materials lacking dangling bonds, hindering the deposition of a thin, uniform film. This process could also induce electron doping, compromising the properties of the 2D materials. Hence, it’s imperative to investigate the second method of growing 2D materials directly on metal oxides providing solutions to the concerns. In this research project, we aim to develop a chemical vapor deposition technique to grow 2D materials directly on spatial ALD-grown metal oxides. We believe that the methodologies developed herein will serve as a fundamental approach for other combinations of 2D materials and oxides, yielding novel device functionalities.

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Faculty Supervisor:

Kevin Musselman

Student:

Partner:

Universität Duisburg-Essen

Discipline:

Engineering

Sector:

Nanotechnology; Quantum Science

University:

University of Waterloo

Program:

Globalink Research Award

Forest Carbon Storage in Southwest British Columbia: a remote-sensing approach to scale from individual trees to the landscape level

Addressing the harmful effects of climate change presents an urgent challenge for society. The intern will assess the amount of carbon storage within the forests of southwestern British Columbia in order to facilitate carbon storage accounting. To do this, the intern will conduct forest inventories to measure the diameter and height and identify the species of each tree within dozens of forest plots, and will apply this information to well-defined forestry equations to determine the biomass and carbon of each tree. The intern will then use fine-resolution satellite images and lidar data (to give the height of trees) and apply statistics to these data to determine the amount of carbon in each tree. The intern will characterize the accuracy of our predicted values and apply the model to produce a map of carbon storage across the study area. This map will provide a baseline from which to identify changes in carbon storage from forest fires, harvesting, and other forest disturbances. This map will help the partner organization and local governments determine the contribution of forests towards efforts to reduce the harmful effects of climate change.

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Faculty Supervisor:

Mathieu Bourbonnais;Erin Crockett

Student:

Partner:

BC Conservation Foundation

Discipline:

Life Sciences

Sector:

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

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Enhancing Corporate Digital Responsibility: Evolving Reporting Frameworks for Transparency and Ethics in the Era of AI

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

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Faculty Supervisor:

Jeffrey Wilson

Student:

Partner:

Centre for International Governance Innovation

Discipline:

Business

Sector:

Education; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Vessel-mounted lidar for navigational depthfinding, underwater bathymetry and environmental assessment: Data Collection and Analysis

Sonar, a widely used technology aboard vessels for tasks such as depth measurement and fish identification, has drawn significant environmental concerns, particularly regarding its impact on marine mammals like whales and dolphins due to its high-frequency sound emissions. In response, Envisioning Labs, an innovative company based in Vancouver, has developed a groundbreaking solution: a quieter bathymeter utilizing lidar technology. This innovative hybrid lidar-sonar device marks a significant advancement in environmental conservation by reducing disturbances to marine life. The primary objective of this pioneering project is to comprehensively assess the potential of the cutting-edge technology known as QUELL (Quiet Underwater Exploration Lidar) across various applications for characterizing the water column. These applications encompass fish detection, identification of floating debris, and underwater bathymetry, all accomplished through the detailed analysis of the complete waveform return of laser pulses captured by the QUELL system. By harnessing the precision and reduced environmental impact of lidar technology, the QUELL system aims to revolutionize underwater exploration while prioritizing the protection of marine ecosystems. Through rigorous testing and evaluation, Envisioning Labs aims to establish QUELL as the leading eco-friendly marine sensing solution, fostering sustainable practices and conservation efforts worldwide.

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Faculty Supervisor:

Mir Abolfazl Mostafavi

Student:

Partner:

Envisioning Labs

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Quantifying seabird distribution in relation to resources development and associated shipping activities in the Arctic

This MITACS and its proposed support of interns is designed to expand an ongoing collaboration that exists between Baffinland Iron Mines Corporation, Environment Canada, aboriginal Wildlife Co-Management Boards, and academic collaborators. Together the group will collectively address several marine wildlife issues using a diversity of innovative research techniques including wildlife tracking devices attached to seabirds, computer simulation modelling, and geo-spatial habitat mapping. This new information will quantify the abundance and distribution patterns of marine birds and identify their use of key habitat areas within the marine study area of interest to Baffinland. This information is necessary to assess how marine birds may respond to resource development activities such as marine shipping as well as assist the company when planning mitigation measures, emergency preparedness procedures, and long-term environmental monitoring plans in the region; all of which are stated priorities of the Nunavut Impact Review Board and legal conditions of the development permit for Baffinland Iron Mines Corporation Mary River Project to proceed.

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Faculty Supervisor:

Oliver Love;Mark Mallory;Kyle Elliott;Christina Semeniuk;Grant Gilchrist;Joel Bety

Student:

Partner:

Baffinland Iron Mines Corporation

Discipline:

Life Sciences

Sector:

Mining

University:

Acadia University; Carleton University; McGill University; Université du Québec à Rimouski; University of Windsor

Program:

Accelerate

Management of Powdery Scab of Potato in Alberta

In 2022, the potato industry contributed $2.87B to the Canadian economy and $2.31B to the Alberta economy. Powdery scab has been present in Alberta for decades but because of no above-ground symptoms it has been ignored and no registered products are available to mitigate it. Syngenta suspectsthat the pathogen’s population levels are increasing because of no available treatment. They also need a site with disease which is not possible in Guelph, so they need to have trials in Alberta. The main benefit to the partner organization is that arm’s length research trials are required to expand label uses of fungicide products. In addition, Syngenta has research personnel in Guelph, but not in Alberta and data from Alberta sites are required for product registration. The intern can provide support for the field research while learning about powdery scab in Alberta.

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Faculty Supervisor:

Dmytro Yevtushenko

Student:

Partner:

Syngenta Canada Inc.

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Lethbridge

Program:

Accelerate

High-speed assessment of bread quality through optimal non-contact methods

Being a bio-process, the quality of yeast-fermented bread is highly dependent on several factors such as temperature, static time, and humidity as well as on the type of flour. As such an active control/feedback strategy is often needed to monitor and optimize the baking process. Many studies have focused on post-baking the assessment of the breads using food’s color and other optical testing to implement a closed feedback control. Other studies have evaluated the height and slope of the bread to infer quality. Quality in food in general, and bread-making in particular is often judged subjectively by humans. As such machine learning methods are increasingly applied to quality inspection of food. There are several versatile machine learning tools such as k-nearest neighbor (KNN), neural networks, support vector machine (SVM), and artificial neural network (ANN).
Silver Hills Bakery is looking to significantly expand and scale up production. The current method of manual inspection and evaluation would not be sufficient for the expected increase in production. To this end, the project will develop an optimal non-contact methodology for estimating bread quality for controlling baking parameters

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Faculty Supervisor:

Krishna Vijayaraghavan

Student:

Partner:

Silver Hills Bakery

Discipline:

Engineering

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Current and Potential Uses of Transformative Technologies in Military Culture Change

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

View Full Project Description
Faculty Supervisor:

Jennifer Welsh

Student:

Partner:

Centre for International Governance Innovation

Discipline:

Sociology

Sector:

Education; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Stage de recherche TUW

Notre projet vise à développer un mécanisme formel d’aide à la décision, permettant aux développeurs de systèmes informatiques d’optimiser la stabilité de leurs systèmes en considérant leur durabilité économique et environnementale. Ce mécanisme se basera sur les objectives de stabilité des systèmes, les composantes disponibles pour réutilisation et le contexte de développement. Cela permettra d’améliorer les pratiques de conception tout en s’adaptant aux différents contextes organisationnels, résultant en de systèmes logiciels fiables et robustes, impactant positivement les utilisateurs finaux de ces systèmes.

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Faculty Supervisor:

Mehdi Adda

Student:

Partner:

Technische Universität Wien

Discipline:

Computer science

Sector:

Information and Communications Technology; Sustainability & the Environment

University:

Université du Québec à Rimouski

Program:

Globalink Research Award

Efficient Parsing Technique for Console Logs

Software systems produce large amount of logs of different types. Event logs and system traces have been the focus of many research for their information content and often machine friendly format; but another type of logs often overlooked are console logs. Parsing console logs presents two main challenges: their formatting is inconsistent and they contains large amount of noise. We propose to research efficient and practical techniques to tackle these challenges.

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Faculty Supervisor:

Weiyi Shang

Student:

Partner:

Kyushu University

Discipline:

Computer science

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

An investigation on software quality measurement

The TEC Company has a complete list of vendors and software products. On the other side, the software buyers have their own functional and technical requirements. The TEC’s product list empowers the software buyers to employ the TEC’s software selection methodology in order to find the product which is properly matched with their requirements. The TEC’s methodology considers several functional attributes for each software product. However considering the Quality properties from software engineering point of view will make the outcome of TEC’s methodology more reliable. In this project we try to develop a quality model and then measure the quality factors for a set of software products which are listed in TEC’s products’ list. The outcome of this project are expected to resulted in developing original and significant quality models and measurement methods as well as enriching the TEC’s software selection methodology.

View Full Project Description
Faculty Supervisor:

Pierre Robillard

Student:

Partner:

Technology Evaluation Centers Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École Polytechnique de Montréal

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.