AI-Driven Ingredient Recognition & Measurement for Meal Planning

MealLens Inc. is developing an AI-driven meal-planning solution designed to help users efficiently manage food ingredients and optimize meal preparation. This project focuses on enhancing the system’s ability to recognize and process ingredient information while improving overall accuracy, user experience, and scalability. The expected outcome is a more intelligent and adaptable platform that will contribute […]

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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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Multi-disciplinary Associate Project Manager

The project is composed of several Microsoft Identity Access and Management projects within the Enterprise team at CrucialLogics. The intern will be closely working with the Project Management Office to deliver Microsoft security solutions for a large Enterprise customer.

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Ethics Bowl Canada: Bilingual coordinator position

Ethics Bowl Canada (EBC) is a not-for-profit that operates exclusively for the advancement of education. It’s purposes include (a) promoting and developing the teaching of critical thinking to the public in a way that is compatible with the standards of excellence of academia and (b) advancing education by providing a public forum for students and […]

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Nitrous oxide emissions monitoring and remediation approaches during wastewater treatment using partial denitrification anammox process

Wastewater treatment plants contribute to greenhouse gas emissions through the release of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), which are produced during various treatment processes. During biological nutrient removal in wastewater treatment, processes such as activated sludge can generate N2O (a potent greenhouse gas) during total nitrogen removal. Further energy consumption in […]

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Fast approximate solutions to large and sparse systems of equations via convex optimization

Many effective Convex Optimization techniques face a common bottleneck: the resolution of large, sparse systems of equations. Despite the important advances in the state-of-art at theoretical and algorithm development, a significant challenge persists in the tendency to overlook the commercial viability of these algorithms. Recent strides in computer hardware, driven by advancements in AI and […]

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Investigation of the Fluid Flow and Heat Transfer in Fluidized Bed Combustor and Fluidized Bed Cooler During the Thermal Sand Reclamation Process to Improve its Performance

Foundries play a crucial role in recycling metals However, they face challenges, especially with sand, which is essential for making molds. During casting, sand gets contaminated from binder materials, making it impossible to reuse and causing environmental issues when disposed of. Sand reclamation, like thermal sand reclamation (TSR), helps by cleaning the sand through burning […]

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Monark Leadership Training Engagement

Many organizations feel unsatisfied with the results of leadership training programs. To tackle this problem, this research project explores new ways to make leader training more engaging and effective. Drawing on theories about human motivation and self-views, the project tests three different intentions to improve leader training. The first study investigates whether focusing on personal […]

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Pragmatic Automated Code Transformation Leveraging Large Language Models

With recent advancements in Large Language Models (LLMs) designed for coding, Artificial Intelligence for Software Engineering (AI4SE) remains pivotal in enhancing both developer productivity and software quality. However, to excel at more specialized SE tasks like code transformation, companies still need to optimize LLMs to their specific context to avoid LLMs’ tendency to “hallucinate”, i.e., […]

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