We propose the construction of novel ultrasound transducer structures based on existing MEMS technology that has been in development through collaboration between Micralyne and Prof. Roger Zemp. We will be exploring linear array transducers intended for medical imaging, and individual transducers for automotive use for ultrasound range finding. We will undertake the design, modelling, fabrication, […]

Hydrogen (H2) offers a strategic opportunity for Canada’s energy transition and more broadly is viewed as an essential part of the global solution to reducing carbon emissions and addressing climate change. Industry, governments and research agencies at regional and national scales are looking at the feasibility of H2 hubs that incorporate local logistics for H2 […]

Colorectal cancer (CRC) is the second most common cancer-related cause of death in Canada. This high mortality rate is largely due to the lack of a cost-effective, patient-accepted and sensitive screening tool. Metabolomic Technologies Inc. (MTI) has developed a nuclear magnetic resonance (NMR)-based urinary diagnostic test for detecting colonic polyps (PolypDx™). Identification of adenomatous polyps […]

Whether conforming safely with the movements of humans, executing adaptable motion to navigate unpredictable terrain, or handling delicate objects with precision, soft robots are revolutionizing the way machines interact with the world. Soft robots take inspiration from biological systems, incorporating soft and stretchable materials to achieve lifelike motion. However, the fabrication of these advanced systems […]

This project aims to develop and evaluate an advanced augmented reality (AR) and artificial intelligence (AI)-based system designed to enhance conversational fluency for intermediate-to-advanced language learners. By integrating language practice into everyday environments, the system will offer immersive and interactive learning experiences without reliance on traditional classroom instruction or physical conversation partners. Existing literature indicates […]

We address the limitations and hazards of current wildfire detection and suppression methods, focusing initially on Alberta’s boreal zone. Alberta Wildfire uses aircraft, helicopters, specialized equipment, and trained personnel, but these methods have critical drawbacks. Crewed aerial systems cannot operate 24/7, leaving gaps when fires can go undetected. Additionally, deploying personnel is expensive and not […]

The cleanliness of restroom drives people’s preferences. In places such as hotels, restaurants and hospitals, a dirty bathroom will drive away potential customers as it lead them to question the cleanliness of the whole facility. Visionstate Inc. developed WANDA (Washroom Attendant Notification Digital Aid), a LCD touch screen that display the time of most recent […]

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Qilong Yu (Machine […]

This project focuses on developing new types of catalysts by designing and testing innovative molecules (ligands) that can better interact with metals and tune their properties. Catalysts are chemical species that help speed up chemical reactions, making them more efficient, selective, and sustainable. They are essential in many industries, from pharmaceuticals and petrochemicals to energy […]

Canada’s northern communities are overly dependent on diesel fuel, which poses an economic threat in the event of a supply disruption (e.g., river flooding, forest fires). Therefore, the use of geothermal energy is an essential step towards independence and self-sufficiency. In the Northwest Territories, high geothermal gradients offer long-term, year-round heating and power for northern […]

Renal cell carcinoma (RCC) is a common and aggressive form of kidney cancer, often diagnosed at advanced stages due to the lack of early symptoms. This project aims to improve RCC diagnosis by identifying metabolic biomarkers through a multiomics approach, integrating metabolomics and transcriptomics data. Using advanced mass spectrometry (LC-MS) and computational tools like CAT […]

Cryptography is an important tool for safeguarding our data from attackers. The security of several modern cryptosystems relies on unproven properties of an algebraic structure called the class group of an algebraic number field. In the absence of proofs, tabulating class groups in order to generate numerical evidence of these unproven properties remains the best […]