A Multi-Agent System (MAS) platform for AI-Assisted Patient Assessment and Prognosis in Obesity

This project will develop a multi agent-based personalized healthcare platform that helps healthcare providers better understand and support people living with obesity. The tool will use artificial intelligence, large-language models to ask questions about a patient’s mental health, lifestyle, and quality of life, then use that information to suggest more tailored treatment options, such as […]

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Enhancing or restoring ecosystem services in oxygen stressed water bodies – exploring potential applications for a novel aeration device

Many bodies of water are facing a decline in concentrations of oxygen in the water. This is mainly because human activities have increased the amount of nutrients and organic matter entering these water bodies, which in turn fuels microbial activity that consumes available oxygen. When oxygen levels drop, the health of the ecosystem suffers, and […]

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An inboard flap system for Superwake’s solar-electric drone

Superwake designs, manufactures, and operates fixed-wing solar-electric drones, delivering long-endurance aerial services for government and commercial clients. The company’s core activity is providing persistent, energy-efficient data collection and monitoring via solar-powered flight. This project aims to design and implement an inboard flap system to enhance aerodynamic control, with a specific focus on improving landing performance. […]

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Digital Transformation for Folk Canada

Folk Music Ontario is transitioning into Folk Canada, a national organization aiming to expand its reach and impact. This project supports that transformation by developing a cohesive digital strategy, upgrading outdated systems, and exploring tech-enabled solutions—including automation and AI—to enhance national visibility, audience engagement, and operational efficiency. The work is being led by Sympl Solutions, […]

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Agentic AI for Automated Essay Scoring

This research project aims to develop an AI-powered essay grading system that is both cost-effective and highly accurate. The project will explore how a dual-agent AI system, one that optimizes the cost and another that performs prompt refinement, can improve automated essay scoring at scale. By using advanced techniques such as Retrieval-Augmented Generation (RAG) and […]

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Energy efficient iGrow air circulation system for raspberry cultivation (2)

Despite being the world’s third-largest raspberry importer, Canada faces challenges like high local wholesale prices, erratic climate, pest issues, and labor costs. This project offers a breakthrough solution—an innovative, scalable indoor farm—to address these issues. The goal is to create a cutting-edge platform that overcomes horticultural challenges, empowers future growers, and transforms Canadian indoor farming […]

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L2M – Probes to Enable Imaging Small Molecules in Cells

Cellular imaging enables the study of diseases in myriad ways, consequently impacting human health. Through visualizing individual cells, clinicians are able to diagnose diseases and scientists are able to develop drugs to treat them. There are many powerful tools to visualize cells, including fluorescence and electron microscopy. However current common imaging techniques fall short for […]

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L2M – Approaches to Novel Anticancer Therapeutics via MRCK Inhibition

MRCK is an enzyme that has shown promise as a target for the development of new drugs to treat several aggressive cancers, including glioblastoma (GBM) and high grade serous ovarian cancer (HGSOC). BDP9066 is a highly potent and selective inhibitor of MRCK reported first in 2018. Despite excellent activity profile, BDP9066 is not a realistic […]

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Developing methods in the field of structural dynamics for the analysis of Functionally Graded Materials (FGM) plates

This project revolves around advancing the field of structural dynamics, with a specific focus on the structural analysis of plates, particularly those made of Functionally Graded Materials (FGMs). The work will use three approaches for structural analysis: • The first one emphasizes developing novel and highly convergent analytical and semi-analytical methods that address the complexities […]

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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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Waste diversion becomes art inspiring education

Working with Sunnybrook hospital’s Green Task Force, we will be collecting information on their reduction of material and textile waste, innovative technologies as to the process of change, and then creating an interactive art piece in the central lobby to showcase the advancements and celebrations that these new processes have helped the hospital, the diversion […]

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Convection in porous structure for cooling heat sink

The proposed scientific collaboration is toward developing a new class of porous structure using mathematical design. The structure must be lightweight and capable of removing heat. This structure is advantageous in engineering, such as heat enhancement, heat exchangers, and biomedical engineering (hip, jaw, or femur replacement). The global importance of the proposed research is in […]

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