Energy Audit Reporting Automation with Artificial Intelligence (AI) and Machine Learning (ML)

Currently, energy audits at Dillon Consulting Limited take 2 to 3 days to generate comprehensive reports, consuming significant auditor time due to the manual process. This inefficiency diverts auditors from critical tasks and introduces inconsistencies, especially in buildings with multiple facilities. It limits Dillon Consulting’s ability to meet increasing demand for energy management practices. There […]

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Ultrafast Probing of Defect-Engineered 2D Quantum Materials

Two-dimensional materials (2DMs), such as graphene, have revolutionized the field of nanotechnology due to their exceptional electronic, optical, and mechanical properties. However, the introduction of controlled defects into these materials offers an exciting avenue for tailoring their functionalities for next-generation technologies. This project focuses on studying the effects of defects, such as grain boundaries and […]

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Adaptive ML-Driven Detection of Scheduled Task Anomalies and Automated Threat Attribution

As cyber threats grow more sophisticated, attackers increasingly exploit scheduled tasks to maintain persistence and evade detection. Traditional security measures struggle to distinguish between legitimate and malicious task executions, especially when attackers modify execution parameters. Additionally, identifying and attributing threats to known adversaries remains a complex and resource-intensive process, relying heavily on human analysts and […]

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Efficient large scale quantum error characterization

Quantum computing holds great promise in solving some problems that are intractable to its classical counterpart; however, current quantum devices are prone to errors, especially as they scale up. Our project focuses on developing efficient tools to detect and analyze these errors; we will construct an error map that characterizes where the different errors occur […]

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Fabrication of Antifouling Liquid-Infused Catheters

Catheter-associated infections (CAIs) pose a significant healthcare challenge in Canada and worldwide. CAIs contribute to increased patient morbidity, prolonged hospital stays, and a significant burden on the healthcare system. With an aging population and growing antimicrobial resistance, there is an urgent need for innovative infection prevention strategies. This project explores using repellent liquid-infused catheters to […]

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Developing a dichromatically-gated light-inducible transcription factor for spatiotemporal control of gene expression in 3D cellular architectures

Light can be used to control biological processes in living cells, a technique called optogenetics. Originally developed to control neural activity, optogenetics has been expanded to control protein interactions and gene expression with a high degree of spatial and temporal control. This has opened exciting possibilities in developmental biology and tissue engineering. However, current optogenetic […]

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Business Model Innovation with the Cansbridge Fellowship

The Cansbridge Fellowship, a leading Canadian non-profit dedicated to fostering entrepreneurial leadership, seeks to modernize its operations and programs to better serve students and ensure long-term sustainability. This project will bring in specialized interns to tackle key challenges, including redesigning the business model for financial stability, optimizing programs to meet the evolving needs of students […]

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Surface modification of Petcoke Activated Carbon for Removal of Recalcitrant Naphthenic Acids from Oil Sands Process Effected Waters

The oil sands industry in Alberta, Canada, generates large amounts of wastewater, known as oil sands process-affected water (OSPW), which contains high levels of toxic naphthenic acids (NAs). NAs, which can reach concentrations of up to 120 mg/L, are the main contributors to the water’s toxicity, posing significant risks to nearby ecosystems like the Athabasca […]

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