Subsystem Optimization of Intelligent Automated Distribution Kiosk

This project is an R&D project intended to solve the problem relating to a piece of machinery, a retail kiosk for distribution of age-restricted beverages, that has overall reliability issues due to a compounding of sub-optimally performing devices and subsystems exacerbated by competing timeouts; and unpredictability of human users.

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Culture Index Validation and Relationship Analysis: Enhancing Organizational Culture Assessment

This project, a collaborative effort between Saint Mary’s University and Wise Leadership Inc., seeks to address the pressing need for a more evidence-based approach to measuring workplace culture, especially in a post-COVID environment. Wise Leadership Inc., committed to enhancing organizational culture and leadership, faces the challenge of refining their tools and methods for more accurate […]

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Evaluation of a Photocatalytic Membrane Reactor for Treatment of Steroid Hormones

The presence of steroid hormones in the environment is an emerging global issue. Steroid estrogens are of particular concern due to their toxicity to humans and aquatic life at low (ng/L) concentrations and their considerable presence in human waste streams. Standard treatment processes in municipal treatment plants often do not completely degrade estrogenic compounds, and […]

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Copsys Intelligent Digital Skin

This project seeks to fully develop Copsys Intelligent Digital Skin (CIDS) technology, elevating it from Technology Readiness Level (TRL) 7 to market readiness. CIDS, a novel paint-based digital technology, aims to revolutionize corrosion and asset integrity management across various industries. It integrates impressed current cathodic protection (ICCP) within a coating, marking a significant innovation in […]

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Two-step CO2 Capture and Storage Technology using Seawater and Mineral Carbonation of Mine Water Pool of Sydney Coalfields

Our CBU Research Team is working with Net-Zero Atlantic under the NZA Program to develop a point-source carbon capture and storage technology that 1) uses a capture medium constituted from seawater and 2) employs a technique that permanently sequesters the captured carbon as metal carbonates using the contaminated water of flooded former mines. This work […]

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Machine Learning and Aerodynamic Optimization for Heavy Road Transportation

The need to reduce fossil fuel use is urgent, especially in sectors that produce a lot of greenhouse gases like heavy-duty road transportation. This is necessary because of increasing energy demand, urbanization, and global climate change. In Canada alone, more than $30 billion is spent yearly on fuel for heavy vehicles, resulting in a large […]

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L2M – ACTIVELY SOBER AI MODEL FILTER FOR INFLUECES IN SUPPORT OF ALCOHOL CONSUMPTION

The Actively Sober app is an ambitious project that combines advanced artificial intelligence with a keen understanding of cultural nuances to address the widespread issue of alcohol misuse. By employing AI algorithms that continuously scan digital platforms to identify and block alcohol-related content, the app aims to create a supportive environment for users, helping them […]

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Evaluation of Human Resource Efficiency Components in Northwood Care Employees Based on the ACHIEVE Model

The evaluation at Northwood Care, using the ACHIEVE model, aims to determine what factors make employees efficient. This model assesses seven key elements: Ability, Clarity, Help, Incentive, Evaluation, Validity, and Environment. Managers use it to identify and address performance issues affecting employee efficiency. The evaluation is crucial because employees are a significant driver of organizational […]

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Process development and pilot scale validation of the commercial scale rubber recycling process using an efficient novel devulcanizing agent

The “Be Tire Smart” campaign of the Canadian government and The Rubber Association of Canada strongly encourages the four R (reduce, reuse, recycle, and recover) principles to deal with the scrap tire problem in Canada. The constantly developing automotive industry and the growing number of vehicles generate massive tire demand while the management and recycling […]

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Synthesis and characterization of antimony and bismuth substituted Polyoxometalates

Polyoxometalates (POMs) represent a class of inorganic compounds, which are cluster compounds that can be formally described as oxo-metal complexes. Prominent transition metals are molybdenum and tungsten from group 6 and vanadium, niobium and tantalum from group 5 of the periodic table. A popular research area in POM chemistry is the selective substitution of one […]

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