Drying Fuel Alcohols and Natural Gas with Biosorbents Based on Agricultural By-products

Saskatchewan is one of the key provinces in Canada to produce canola, flax, barley, wheat, and other agricultural products. In this research work, high performance bio-adsorbents will be formulated from the agricultural by-products for drying bio-alcohols and natural gas at low costs. These biosorbents are re-usable for dehydration and regeneration cycles. The exhausted biomaterials may […]

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Intelligent Knowledge-based Digital Assistant for Enhancing Customer Service in a Fundraising Management Organization

Customer service operations in fundraising management organizations often face the challenge of handling large volumes of repetitive inquiries during high-demand periods such as festival seasons, raffle result announcements, and charity campaign launches. Traditional customer service support methods cause delayed responses due to limited staff availability, resulting in customer dissatisfaction. To address these challenges, we propose […]

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PatchUp Summer Education Student BSI

PatchUp is a web-based resource that offers a smarter, more scalable way to support classrooms by addressing behavioural needs through technology and innovation. Designed to assist students during moments of dysregulation, PatchUp provides interactive emotion regulation activities that can be used independently or alongside support staff, making it a flexible solution across a variety of […]

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Metabolomic Characterization of Wild Canadian Haskap (Lonicera caerulea var. villosa) Germplasm

Haskap is an emerging berry crop in North America known for its unique flavour and high nutritional value. Commercial haskap cultivars have received considerable attention from researchers, however, Canada’s native wild haskap populations remain largely unstudied. This project aims to comprehensively analyze the metabolomic profiles of 150 wild Canadian haskap accessions maintained by the Fruit […]

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L2M – NutraMate

The NutraMate project aims to revolutionize prescription management in pharmacies by implementing an AI-driven automation system that replaces traditional manual processes. Our cutting-edge technology will significantly reduce the documentation and data entry time while also having high accuracy and improving patient safety through advanced verification processes. Our product is seamlessly integrated into existing pharmacy workflows […]

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L2M – Patient Repositioning Device

Healthcare workers face increasing challenges in protecting themselves from injuries caused by physically demanding tasks. One of the most injury-prone activities is repositioning patients in bed, such as sliding them up or down the mattress or turning them onto their side for sling placement and backside care. These tasks often require significant manual effort and […]

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L2M – Plant based adhesives for a greener future

The goal of this research is to employ protein derived from canola meal, a readily accessible agricultural byproduct generated in Canada, to create a biodegradable, non-toxic adhesive. This breakthrough contributes to Canada’s agriculture sector, lowers environmental and health concerns in the wood production industry, and promotes the country’s green economy goals by eliminating synthetic, petroleum […]

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L2M – Automating Chromatography Process

Minerva Analytics Inc. is a technology startup focused on automating manual and repetitive processes in research laboratories. The goal is to free scientists from routine tasks so they can concentrate on complex analysis and innovation. Through AI-powered software tools, Minerva transforms traditional lab workflows—often reliant on manual data entry, disconnected spreadsheets, and inefficient communication—into streamlined, […]

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L2M – Cross-Modality Translation in Medical Imaging: Bridging Diagnostic Domains

Medical imaging is vital to modern healthcare, yet high costs and limited access slow patients’ paths to diagnosis. Radiologists often correlate imaging findings across multiple imaging modalities and sequences to arrive at a specific diagnosis, but each extra scan or sequence increases scanner time, healthcare costs, wait-list pressure, radiation for ionizing exams, and energy use. […]

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Bosonic Theory via Nonstandard Harmonic Analysis

The project is part of the PhD research conducted by Madeline Berezowski. It is also part of a multifaceted research program developed collaboratively by Dr. Sowa and Dr. Fransson. It revolves around the idea of developing custom mathematical methods in support of frontier quantum physics research. Our specific target is an analysis of systems of […]

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Allowing Athletes to view Trended Data in the mobile App – Dylan Froh

SkillShark Software is a SaaS model company leading the industry in making youth athlete evaluations easy. Current sport organizations do evaluations on pen and paper and spend countless hours re-entering the data onto a spreadsheet and are even then unable to provide report cards to athletes and parents. SkillShark has signed contracts with the largest […]

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Enhancing Legal Document Processing with Large Language Models: A Specialized ChatGPT Model for Corporate Law

A key challenge in corporate law is the efficient indexing and retrieval of legal documents. This project focuses on enhancing the accuracy of AI-driven legal document processing, making it easier for law firms to manage client records. With improved document indexing and data extraction, legal professionals will have better access to structured, reliable legal information. […]

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