Enhancing the Accuracy of Digital Twin Simulation with Machine Learning and Predictive Analytics

Manufacturing companies often face challenges like unexpected equipment breakdowns, shifting production needs, and resource shortages or surpluses, which can lead to delays in production schedules. Traditional systems struggle to manage these issues effectively. Our project introduces a better solution using Digital Twin (DT) technology, which creates a real-time digital replica of a factory’s operations. This […]

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Biofilm blocking

Pathogenic biofilms are a major food safety challenge. They are difficult to detect and very difficult to control after they form as biofilms protect bacteria from sanitizers, heat and other stressors that might otherwise be used to control the bacteria. As well, trying to remove the biofilm may break off chunks of biofilm which can […]

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Optimizing Copper Extraction from Metal Sulfides Using Wetting Agents together with Thiocarbonyl Functional Group Reagents

This project explores the use of wetting agents containing thiocarbonyl functional groups to enhance copper extraction from metal sulfides. By investigating reaction mechanisms, optimizing reagent concentrations, and refining leaching conditions, the research aims to improve copper recovery while minimizing environmental impact. The study will assess the catalytic behavior and reaction kinetics of these agents in […]

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Mobilizing Environmentally Sustainable Learning Health Systems in Nova Scotia

Canada’s health sector is among the top three worst polluters per capita in the world. Medications are estimated to contribute to 25% of the carbon footprint of healthcare in Canada. Decarbonizing hospital pharmacy requires coordinated decision-making and implementation of low-carbon healthcare practices. This Mitacs Elevate research project aims to explore how to mobilize low-carbon pharmacy […]

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The Annual Canadian School Survey

Public education is the starting point for building a prosperous, inclusive, entrepreneurial, and equitable society in Canada. However, education systems in Canada are compartmentalized from one another with little shareable data to help understand differences, promote cross-jurisdictional learning, or develop Canada-wide strategies to support change. People for Education and the Centre for Leading Research in […]

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Assessing the Efficiency of Extracellular Vesicles for the Therapeutic Delivery of Modified mRNA

Extracellular vesicles (EVs) are tiny, membrane-based particles that cells release into various bodily fluids. They serve as messengers, facilitating communication between different cells in the body and, therefore, playing pivotal roles in modulating various biological processes. They achieve this by transporting a diversity of bioactive cargos, including RNA molecules. Over the past decade, our understanding […]

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Investigating the Feasibility of Utilizing Aluminum Production Residues in Asphalt Pavements for Sustainable Road Construction

This research is highly beneficial to the partner organization, as it provides a sustainable approach to valorize its unused waste materials and offers insights into the feasibility of large-scale incorporation of APRs into road pavements, considering long-term applications. Furthermore, since processing APRs for use as filler in asphalt mixtures is costly, this project will help […]

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Advanced FLIM-Hyperspectral confocal microscopy

This project aims to develop a high-resolution and high-speed microscope for capturing fast cellular biological interactions and processes. CoVision, a custom microscope instrumentation company, will directly work with the research fellow to develop and build this custom system. This includes designing the commercial grade packaging, sourcing components, and development of the user interface to be […]

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Furthering the development of AI based Historical Homicide files analysis with the help of Large Language Models

In this project, we are working on a large repository of historical homicide case files, which is majorly unstructured text. We are building a framework for knowledge graph extraction with the help of existing information extraction models further augmented and made robust with the help of existing state-of-the-art publicly available LLMs’ zero/few shot capabilities. We […]

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Optimization of photodynamic inactivation (PDI) compounds for control of plant pathogens in vitro and in vivo

This project aims to develop innovative and effective photodynamic inactivation (PDI) formulations as environmentally friendly biopesticides for managing plant diseases in vegetables, fruits, and ornamental crops grown in field and greenhouse settings. By addressing key challenges such as phytotoxicity and optimizing efficacy, the project is expected to create new agrochemical solutions that expand Nutrien’s product […]

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