This research would offer a new, policy-oriented comparative analysis of international digital literacy strategies aiming to lessen the digital divide. Unlike much of the existing literature, this research would place the focus on initiatives made to further develop digital literacy, rather than digital infrastructure rollout. This research would build on Chetty’s (2018) findings about the […]

We are developing DePerio, a fast, non-invasive test that uses saliva and artificial intelligence to detect early signs of gum disease. Traditional dental methods are slow and only find problems after damage has occurred. Our solution uses a small chip and smart software to analyze immune cells in saliva, giving results in seconds. This tool […]

The proposed project focuses on developing and commercializing a novel method called Compressible Flow Exfoliation (CFE) for producing high-quality 2D materials like graphene and boron nitride. Traditional production methods are expensive, inefficient, and environmentally harmful, limiting their widespread use in industries such as electronics, energy storage, and composites. The CFE method offers a scalable, cost-effective, […]

WearNovAI is a smart, wearable device that can detect early signs of neurological conditions like Alzheimer’s and epilepsy by analyzing sweat. Traditional tools used to diagnose these diseases are often invasive, expensive, and difficult to access, especially in remote or underserved areas. This new wearable sensor offers a non-invasive, real-time alternative by identifying inflammation-related biomarkers […]

This project aims to develop a continuous monitoring system to detect cancer-causing chemicals called polycyclic aromatic hydrocarbons (PAHs) that firefighters are exposed to during their work. These harmful substances stick to their gear, skin, and even enter fire stations and vehicles, increasing long-term health risks like cancer. The project will create smart sensors using advanced […]

This project aims to develop a low-cost, easy-to-use water sensor for hydroponic farming using printed organic electrochemical transistors (OECTs). The sensor will help growers quickly check the levels of nutrients in their water without needing expensive lab equipment. We will improve the sensor’s performance in the lab, test it in real hydroponic systems, and collect […]

FiberTrap is a new filter designed to stop microplastics from washing machines before they reach our water systems. Every time we do laundry, tiny plastic fibers come off synthetic clothes and go down the drain. These fibers are too small for regular water treatment plants to catch, and they often end up in rivers, lakes, […]

This project develops WearNovAIN, a wearable sweat-based diagnostic patch for early-stage breast cancer detection. Combining colorimetric sensing and AI analysis, it aims to provide a low-cost, non-invasive solution for underserved communities.

Online dating platforms struggle to balance emotional intimacy with user privacy. Most rely on static profiles and text-based chats, which lack the non-verbal cues—like gaze, facial expressions, and body language—that are essential for building trust. While video calls attempt to fill this gap, they introduce two critical issues: First, fixed camera angles in conventional video […]

We’re developing the first high-efficiency, ultra-long-range, multi-source thermophotovoltaic (TPV)-based wireless power transmission (WPT) receiver, designed to convert laser beams into electricity without relying on fragile PV surfaces. It uses a spectrally selective absorber to convert laser into tailored thermal emission, matched to low-bandgap GaSb cells. Unlike traditional laser WPT systems, it performs effectively in space, […]

This project will develop a small, energy-efficient hardware device that can quickly analyze DNA to detect harmful viruses or bacteria in real time. Unlike current systems that rely on internet access and cloud computing, this device will do all the work on its own, making it ideal for use in remote or low-resource areas such […]

Path Forward Neurotech is bringing cutting-edge brain training technology from York University’s research labs to the business world. The company has developed special exercises that combine thinking and movement using augmented reality (AR) technology, which has been shown to significantly improve brain function and quality of life in just 8 weeks. This project will help […]