Oculum is developing a new imaging system to improve how eye surgeons see delicate, transparent tissues during surgery—without the need for chemical dyes, which are often risky and not approved for many procedures. This project will help Oculum move from early research to real-world use by building the business and operational tools needed to bring […]

mTatt is a medtech startup developing functional microtattoos for real-time, at-home health monitoring. Using dissolving microneedles — biocompatible structures under 1 mm in length — we painlessly deliver fluorescent sensors into the skin, creating a functional tattoo. These sensors respond to key biomarkers like NT-proBNP, glucose, or electrolytes, providing clinically valuable insights without blood draws […]

**Public Project Overview** This project will develop a new type of robotic tool for sanding, grinding, and polishing using advanced magneto-rheological (MR) actuators. Unlike traditional tools that rely on air pressure or electric servo motors, the MR-based tool can quickly and smoothly adjust how hard it pushes on a surface, making it ideal for high-precision […]

This project will support the early development of CORIMA, a new digital platform designed to help ports and other industries improve how different organizations work together to manage safety and risk. The platform is based on research done at Dalhousie University and uses a systems-thinking approach to identify gaps in coordination that can lead to […]

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 […]

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 […]

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 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 […]

This project involves histopathological analysis of canine airways with stenosis, a type of obstructive disease that impedes airflow. This research is aimed to characterize the disease and understand the cellular mechanisms that drive the disease progression, and therefore inform the future directions of treatment innovation.

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.

The first year after pregnancy is a critical but often overlooked by healthcare systems globally. Many people face physical, emotional, and social changes, yet there is very little formal support. In Canada, most people receive only one six-week follow-up appointment, and support varies depending on who their care provider was. As a result, people with […]

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 […]