Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
BC
801
MB
663
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825
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8841
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9197
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95
PE
568
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1088
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Projects by Category

Optimization of new inhibitors of type 2 serine proteases as anti-influenza agents

The proposed project aims at optimizing new antivirals to fight influenza. Current antivirals, which target proteins of the virus, suffer from severe resistance owing to mutations in the virus. Our group has identified some enzymes in the human lung that are critical for the maturation of the influenza virus. By blocking these enzymes, we expect that the proposed treatment will be a lot less prone to the development of resistance since the target is the host and not the highly mutable virus. In order to achieve this, we plan to finance, with the help of Mitacs and our partner Neomed, three post-doctoral fellows and one PhD student to optimize compounds and test their activity on the specific enzymes expressed in the human lung. This project will allow our partner Neomed to advance these molecules toward clinical development and provide a much needed alternative to current anti-influenza agents.

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Faculty Supervisor:

Eric Marsault;Richard Leduc

Student:

Partner:

Neomed;IntelliSyn R&D;Amplia PharmaTek;Université de Sherbrooke

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Understanding and Predicting Daily Shifts in Emotion with Machine Learning

Individuals’ mood can change on a moment-to-moment basis. Understanding and predicating changes in mood, however, is difficult. A Canadian technology company, called UpBeing, has developed a mobile app to help collect data on mood (among other data) multiple times in a given day. The proposed study will use cutting-edge machine learning techniques and data provided by UpBeing to predict how individual’s moods will change over time. Additional statistical analyses will also be used to help carry out the goals of this study which include: (1) identifying patterns in how people’s mood change in a given day, (2) better understanding what contributes to changes in mood, and (3) determining the best approaches to data analyses to help address missing data.

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Faculty Supervisor:

Ga Wu

Student:

Partner:

UpBeing Inc.

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Efficient Data Representation for Wildfire Predictions

Wildfires continue to pose severe threats to ecological systems, communities, and economies worldwide. Early and accurate prediction of wildfire occurrences is crucial for effective preparedness and response strategies. This study investigates the application of machine learning methods to predict global wildfire events, utilizing the SeasFire Cubes dataset — a scientific datacube designed explicitly for seasonal fire forecasting on a global scale. Data cubes, representing three-dimensional data (time, latitude, and longitude) with 54 features, present a holistic view of the Earth’s climate variables.
The outcomes of this research contribute valuable insights into the potential of machine learning for wildfire predictions. By evaluating three different approaches on the SeasFire Cubes dataset, we offer a thorough and meaningful comparison of their performance. This comparative analysis assists wildfire management and emergency response agencies in making informed decisions regarding the adoption of machine learning methodologies based on data availability and prediction requirements. The direct comparison of three diverse approaches using the same data facilitates the extraction of best practices from each method, potentially leading to the development of new machine learning models based on these insights.

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Faculty Supervisor:

Steve Easterbrook

Student:

Partner:

Lviv Polytechnic National University

Discipline:

Computer science

Sector:

Artificial Intelligence; Environmental Science and Technology; Forestry

University:

University of Toronto

Program:

Globalink Research Award

Détection automatique de semences de résineux pour l’évaluation en temps-réel de l’efficacité d’un semoir

Dans le but d’améliorer le taux d’ensemencement d’un semoir pneumatique de graines de résineux, un système automatisé de vision par ordinateur permettant la détection automatique des graines de semences de résineux permettant ainsi l’évaluation en temps-réel de l’efficacité d’ensemencement du semoir sera développé. Ce système automatisé sera constitué d’un système de capture d’images par caméra proche infrarouge et d’une interface logicielle permettant la mise en route du logiciel, l’analyse des images pour la détection des graines de semences et l’affichage des résultats découlant de la phase d’analyse de ces images. L’utilisation d’un système de capture d’images proche infrarouge découle du fait que la couleur du médium d’ensemencement est très similaire à celle des graines de semences de résineux, rendant impossible l’utilisation des systèmes de vision dans le visible. De par la nature continue des semoirs de graines de résineux, il est alors requis d’utiliser un système de vision par ordinateur fonctionnant en temps-réel ce qui permet alors l’ajustement rapide des défectuosités d’ensemencement du semoir.

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Faculty Supervisor:

François Meunier

Student:

Partner:

Jiffy Products of America;Quebec Ministère des Ressources naturelles

Discipline:

Computer science

Sector:

Advanced Manufacturing; Forestry

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Strategic planning for wildlife connectivity and habitat within current and future landscapes

The Toronto and Region Conservation Authority (TRCA) jurisdiction is one of the most densely populated areas in Canada, where urban land cover makes up over half of all land cover types (TRCA 2021). This has contributed to habitat loss and fragmentation for many species, which is a major contributor to biodiversity declines, hence the need for a conservation plan to better account for wildlife needs. Here we consider the movement and habitat needs of more sensitive species (e.g., amphibians, reptiles) to determine where priority wildlife crossings and habitat can currently be found. Secondly, using future landscape plans (2051) for urban development and natural cover we assess where priority crossings and habitat could be created to promote biodiversity and determine what type of potential enhancement action would be best (e.g., forest, wetland, meadow). This work addresses current and future planning that will aid in the reduction of biodiversity loss.

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Faculty Supervisor:

Marie-Josée Fortin

Student:

Partner:

Toronto and Region Conservation Authority

Discipline:

Life Sciences

Sector:

Arts, entertainment and recreation; Professional, scientific and technical services; Public administration

University:

University of Toronto

Program:

Accelerate

Capacity Planning and Optimization of WiMAX for Smart Grid, Part 2

Smart grid (SG) aims at modernizing the current power grid which can better manage the electricity through the grid and react to the system faults quicker. To realize this goal, many sensors are attached to different points of the power grid infrastructure. These sensors collect data and can be used for controlling, protecting, and monitoring the status of the grid by receiving comands from the utility control center. Hence, a two-way communication infrastructure seen to be required for smart grid realization.
One of the Hydro companies intends to modernize their power grid and our task is to design a wireless infrastructure given the number of end-user devices and the system specifications. It is one of the potential solutions considered for smart grid implementation. My task is to simulate the network architecture based on one of the wireless technologies and optimize the system performance in terms of delay, reliability and capacity using a network simulator before the implementation.

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Faculty Supervisor:

Lutz Lampe

Student:

Partner:

Powertech Labs Inc.

Discipline:

Engineering

Sector:

Energy and Utilities; Technology; Energy and Utilities; Technology

University:

The University of British Columbia

Program:

Accelerate

Crystallization-induced asymmetric transformation

Any new tool must match the sensitivity and ease of the best homogenous liquid sampling techniques. It must execute automated slurry capture, phase separation, and sample delivery without perturbing solute-solid equilibria. Our in-line slurry manipulation utilizes EasySampler™ slurry probe, capturing solids and liquids. The sample is delivered via a weak solvent to an inline filter for rapid solid-liquid phase segregation. This supernatant is analyzed to quantify dissolved components. Crystals are then rinsed, dried, dissolved and analyzed through high-performance liquid chromatography (HPLC). Proof of concept involves accessing enantiopure atropisomers, crucial for advanced materials. A recent example involving Bruton’s tyrosine kinase inhibitor highlights the challenge. We aim to employ real-time analysis of dynamic slurry systems to develop CIAT routes to access traditionally inaccessible atropisomers. Our methods could provide access to an entire category of asymmetric molecules via optimized CIAT. This breakthrough could potentially accelerate pharmaceutical development, countering significant R&D barriers.

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Faculty Supervisor:

Jason Hein

Student:

Partner:

Université de Rouen Normandie

Discipline:

Physics

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Identification and Characterization of Antioxidant Activity in Canadian Wild Plants: A New Horizon in Wellness Industries

The proposed research project aims to explore and study natural substances called antioxidants that can be found in plants native to Canada. Antioxidants from plants are natural products that promote wellness by protecting our bodies from harmful molecules called free radicals. Certain plants that flourish under the conditions found in the Canadian prairies are likely to be rich in antioxidants. The research will be conducted by a team that includes young adult science students, in collaboration with a new biotech company in Canada. By identifying and understanding these antioxidants, we can develop new products that promote better health and well-being for Canadians. The project will benefit the biotech companies by providing them with valuable knowledge and potentially lead to the creation of innovative products that harness the power of Canadian plants.

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Faculty Supervisor:

Trushar Patel

Student:

Partner:

Partage Biotech

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Lethbridge

Program:

Accelerate

An Examination of Invertebrate Community Composition and Density Differences Between Poor- and High-Quality Restored Wetlands in Central Interior British Columbia

Wetlands restored by Ducks Unlimited within the Central Interior of British Columbia are experiencing differences in the reproductive success of waterfowl. While some wetlands are facilitating the production of large broods of young, others are seeing low yields. During their breeding periods, waterfowl are dependent on food resources within wetlands to reproduce. Benthic macroinvertebrates (BMIs) are one of the primary food sources forged by dabbling ducks and are a key factor affecting their breeding success. Since BMIs play a critical role in dabbling ducks’ life cycle, food could be the predominant issue affecting reproduction. This project will compare the relative abundance and biomass of benthic macroinvertebrates between wetlands with high- and low-reproductive success as a potential cause of site differences. The results from this study will help build a greater understanding of factors that affect dabbling duck populations and improve wetland-restoration practices aimed at supporting dabbling duck populations.

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Faculty Supervisor:

Douglas Ransome

Student:

Partner:

Ducks Unlimited Canada (BC)

Discipline:

Earth science

Sector:

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

University:

British Columbia Institute of Technology

Program:

Accelerate

Towards fisheries reconciliation: developing a Kitasoo Xai’xais-led multi-species fisheries monitoring program

The goal of this research is to re-envision fisheries management in Canada, using the Kitasoo Xai’xais Nation as a case study. This objective of this project is to weave together culturally appropriate components of Kitasoo Xai’xais and western fisheries management by using an Indigenous methodological approach that centers Indigenous voices. To do this, we will interview fishers, knowledge holders, staff, and will hold community meetings to develop a Nation-led catch monitoring methodology. We will then pilot that methodology in the food, social, and ceremonial (FSC) fishery and the halibut community-based fishery. We anticipate that the methodology developed may be relevant and can be adapted by Indigenous nations in Canada and beyond.

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Faculty Supervisor:

Natalie Ban

Student:

Partner:

Spirit Bear Research Foundation

Discipline:

Sociology

Sector:

Professional, scientific and technical services; Public administration

University:

University of Victoria

Program:

Accelerate

MULTI-CRITERIA DECISION MAKING MODEL FORENVIRONMENTAL SUSTAINABILITY ANALYSIS IN ICT

While Information and Communication Technology (ICT) and related software development is growing with different opportunities, ICT related energy consumption is also dramatically increasing. In the parallel of this growth, it is wanted to minimize the negative effects by encouraging equipment that is sustainably produced, lasts longer, wastes less energy, used in an efficient way and disposed of responsibly. Considering the above-mentioned development on software and computer service industries, ICT impact needs to be investigated on environmental sustainability. As such there is a strong need a multi-criteria decision making model (MCDM) satisfies both customer requirements as well as environmental sustainability. Research is planned with the “adaptive multi-criteria decision-making model” that helps decision makers manage change and govern complexity in environments where economic, social, and natural forces interact in unpredictable ways. There is a strong need for more input from ICT’s toward creating more sustainable environment. Therefore a successful completion of this research will ultimately create a body of knowledge that can be utilized to save energy for future generations with the wider social and economic benefit.

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Faculty Supervisor:

Ayse Basar Bener

Student:

Partner:

Galatasaray Univerisity

Discipline:

Engineering

Sector:

University:

Toronto Metropolitan University

Program:

Globalink Research Award

Operationalizing Two-Eyed Seeing

As the conservation sector moves forward to support Canada’s international commitments to protect the environment and honour Indigenous rights, there is increasing interest in pairing Indigenous with
mainstream knowledges. Etuaptmumk, or Two-Eyed Seeing in Mi’kmaw as introduced by Elder Albert Marshall, offers a way to do this by leveraging the strengths of both indigenous and Western ways of knowing. Despite growing support for this approach, a gap remains to be bridged between the theory and operationalization of Two-Eyed Seeing in conservation work documented outside of academia. This placement will explore lessons learned from the application of this principle within partnerships and organizations, to be shared with those interested in partnering with the host organization, Plenty Canada, as well as the broader conservation community, in support of successful cross-cultural collaborations into the future.

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Faculty Supervisor:

Robin Roth

Student:

Partner:

Plenty Canada

Discipline:

Sociology

Sector:

Agriculture; Arts, entertainment and recreation; Education; Health and Related Sciences & Technology; Other services (except public administration); Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

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