This project will help Insect Track Solutions improve and validate IPPM Now, a digital tool designed to make insect monitoring easier and more accurate for farmers, agronomists, and researchers. Today, insect data is collected in many different ways, making it hard to compare results or make fast decisions. The project will work with expert users […]

Disinfection is essential across households, industries, agriculture, and healthcare. But, choosing the right chemical disinfectant raises concerns, as residues, volatile compounds, and microbial resistance often force us to switch chemicals or increase dosages. What if we could disinfect without adding chemicals? Our project explores this possibility by altering the chemistry of air and water using […]

Periodontal disease (PD) is a chronic bacterial infection of the gumline and tissues that anchor teeth and according to the Canadian Dental Association (CDA) 7 out of 10 Canadians will experience some form of this disease over their lifetime. PD is caused by specific pathogenic anaerobic (those that prefer low oxygen environments) bacterial species known […]

The proposed project will use existing telecom fiber installed alongside railways to monitor the physical condition of Canada’s aging rail network in real time. By attaching small Fiber Bragg Grating (FBG) sensors at key stress points—such as bridges, track curves, and transitions—the system will continuously measure strain, temperature, and wheel impacts without adding new cabling. […]

Our project is about a novel hybrid 3D printing system that combines the best parts of two popular printing methods: Fused Deposition Modeling (FDM) and Stereolithography (SLA). FDM printers can make large parts but with low precision and limited surface quality, while SLA printers create very accurate parts but waste a lot of resin and […]

Reinforcement learning algorithms are successfully employed in diverse industries, for instance in autonomous driving, trading or gaming. However, their generalization especially in critical-decision making systems has raised concerns about their robustness to attacks. The 22nd recommendation issued by the White House (2016) to prepare for the future of AI states: ”Agencies (…) should ensure that […]

The Nexagon project aims to develop an innovative neck collar designed to help prevent concussions in sports like hockey by reducing rapid head and neck movements during impact. Inspired by natural structures such as the honeycomb, the collar will be lightweight, comfortable, and effective in absorbing and redistributing forces that can cause brain injuries. Using […]

This project aims to develop a cost-effective imaging system for the early detection of crop diseases, with a particular focus on Fusarium Head Blight which is a disease responsible for an estimated $1 billion in annual losses to Canadian agriculture. Fusarium Head Blight produces deoxynivalenol (DON), a mycotoxin that renders grain unusable at concentrations as […]

The LinkedWell Companion project is creating an intelligent and compassionate digital tool that helps families and healthcare providers communicate more clearly and stay connected beyond short medical appointments. In many clinics, appointments last only a few minutes, and patients often leave with unanswered questions, forgotten details, or confusion about what to do next. LinkedWell aims […]

Many Canadian companies and researchers struggle to find affordable, secure, and easy-to-use data labelling tools. Most existing platforms are foreign-owned, which can cause privacy issues and make it harder for small teams to work with sensitive information. It also prevents us from building local expertise and jobs in AI data management. Zester aims to solve […]

More than 90% of pharmaceuticals fail to impact fail to pass regulatory approval due to toxicity or lack of effectiveness. 50% of those failures have the potential to impact patient lives and existing therapeutics can be repurposed to expand therapeutic options if they can be delivered in smaller dosages to where they are needed most. […]

This project develops an intelligent automation system to revolutionize how we inspect safety-critical components in industries like aerospace, energy, and manufacturing. It focuses on Phased Array Ultrasonic Testing (PAUT), a powerful but skill-dependent method for finding hidden flaws in materials. Currently, interpreting PAUT data demands highly trained technicians to analyze complex signal patterns and images. […]