The project background for JOYfuel stems from the pervasive issue of current social media platforms, whose default algorithms often prioritize engagement over user well-being, leading to passive consumption, digital distraction, and a significant ‘time tax’ on individuals’ productivity and mental health. Laroye AI’s core business idea is JOYfuel, an AI-powered mobile application that provides a […]

We are developing a next-generation cybersecurity tool that uses large language models (LLMs), a form of generative AI, to help small and medium-sized businesses (SMBs) detect hidden weaknesses in their systems before they can be exploited. Unlike traditional tools that rely on fixed rules and often flood users with too many alerts, our platform understands […]

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, […]

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. […]

This project focuses on the commercialization of a compact, high-efficiency heat exchanger developed using advanced lattice geometries and additive manufacturing technologies. Designed to meet the thermal management needs of space-constrained systems, the innovation offers significant advantages in size, weight, and performance over traditional heat exchangers. The intern, Sanjoy Dam, will conduct market research, customer discovery, […]

This project focuses on solving key problems in large-scale pellet-fed 3D printing, a technology that holds great promise for cost-effective, sustainable manufacturing. Unlike traditional 3D printers that use expensive filaments, pellet-fed printers use raw plastic pellets directly, making them more affordable and flexible for industries like construction, automotive, and tooling. However, the current systems have […]

This project aims to develop next-generation dental implants using Yttria (Y2O3)–Zirconia (ZrO2) composites through advanced ceramic additive manufacturing. The work will begin with a pre-prototyping validation survey to assess market needs, clinical requirements, and user preferences. Based on the survey findings, material and process optimization will be carried out to produce clinically viable prototypes. The […]

Increasingly, fungi are becoming resistant to the drugs, antifungals, that we use to treat fungal infections, necessitating research into alternative antifungal strategies. One way to increase the amount and delivery of antifungals to invading fungi within the body is using protein-based nanoparticles. The antifungals associate with the nanoparticles that are delivered and taken in by […]

This project focuses on developing a durable, low-power tracking device for small construction equipment, enabling contractors to automatically monitor machine usage, idle time, and location. This technology reduces theft, cuts down on fuel waste, and eliminates manual tracking, helping improve productivity across underserved construction SMEs across Canada. Over four months, the intern will enhance the […]

The proposed project is an ergonomic manual shovel that aims to decrease stress and injury. The project aims to improve manual transfer of materials for farmers, construction workers, landscapers, and homeowners. The goal of this project is to improve the technological readiness of an initial prototype to bring it closer to commercialization.

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 […]

The proposed project will leverage AI technology and citizen science to improve the efficient and responsible use of pesticides in agriculture. Farmers and agronomists face significant challenges in identifying insect species in their crops. Many insects look similar, but while some are harmful pests causing severe crop losses, others are beneficial, acting as natural pest […]