L2M – NeurolAssist

We are developing a specialized AI-driven Clinical Decision Support System (CDSS) for neurology that integrates a large language model with domain-specific tools (such as neuroimaging analysis, EEG interpretation, and up-to-date medical knowledge retrieval). The system serves as an intelligent assistant for neurologists, helping analyze patient data (e.g. MRI scans, EEGs, clinical notes, etc.) and providing […]

Read More
L2M – LeanPrompt: Accelerating Generative AI with Smarter Resource Utilization

We aim to develop and implement a cost-efficient framework for communicating with proprietary generative AI platforms such as ChatGPT. In fact, these provider companies expose their models through an interface that can be accessed via API. However, calling their API will incur a cost considerably based on our request. Basically, smaller models are cheaper than […]

Read More
L2M – Next-Generation Multisource Thermo-Photovoltaic Receivers for Wireless Power Transmission Networks

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, […]

Read More
L2M – Load Forecasting Improvement in Smart Grids

This project focuses on improving short-term electricity demand forecasting, which is essential for ensuring the reliable and cost-effective operation of the power grid. Many Canadian utilities are now using demand-side management strategies such as peak shaving, reducing electricity consumption during peak hours, to lower costs and reduce strain on the grid. However, these strategies can […]

Read More
L2M – AllerEase: Personalized Allergy-Safe Grocery Tool

AllerEase is a personalized grocery recommendation tool that helps allergy-sensitive users shop safer and easier. It generates user-specific shopping lists based on allergy profiles and live product data. This project aims to refine matching logic and validate usability through real-world testing.

Read More
L2M -Bringing Compact RF Drone Detection Technology to Market

This project aims to develop a business strategy to bring a new drone detection technology to market. The system uses a compact, reconfigurable antenna to detect and locate drones by listening to the radio signals they emit. Unlike current systems that are expensive or complex, this solution is designed to be affordable, portable, and easy […]

Read More
L2M – Enhancing 3D Bioprinting with Advanced Nanofillers for Regenerative Medicine

This project focuses on developing advanced bioinks enhanced with tiny filler materials to improve 3D bioprinting for tissue engineering. By creating stronger, more printable, and biologically compatible materials, the project aims to help the partner organization advance regenerative medicine technologies. This will support the development of new personalized medical treatments and open up commercial opportunities […]

Read More
L2M – Path Forward Neurotech

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 […]

Read More
Enhancing 5G-based telemedicine solution: cloud migration and EMR integration for secure remote healthcare

This project will enhance an innovative telemedicine system that enables clinicians to monitor and consult with patients remotely. The system goes beyond video calls by transmitting real-time medical data from point-of-care devices. The project will focus on ensuring that personal health information is managed and stored within Canada and that the system is compatible with […]

Read More