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. Wildfire workforce planning […]

Accurate prediction of fundamental chemical properties such as bond dissociation energies and reaction barrier heights remains a central challenge in chemistry and materials science. Classical machine learning methods have achieved notable success, yet they often face scalability limitations and difficulty capturing complex, high-order correlations in molecular graphs. Quantum Machine Learning (QML) offers a fundamentally different […]

Sometimes, there is a belief that doctoral degrees are quite challenging to attain. The majority of previous studies have an emphasis on subjective reasons for doctoral degree incompletion. Therefore, many past studies applied qualitative inquiries (Wollast et al., 2018). Thus, there is a lack of mixed-method studies in the areas of how particular factors influence […]

This project develops a framework to identify and track inactive space objects, using observations from space-based sensors. As space becomes increasingly crowded, knowing the location, orientation, and physical properties of these uncontrolled objects is essential for avoiding collisions and ensuring safe space operations. The research combines sensor data with advanced mathematical techniques to estimate key […]

International doctoral students play a significant role in host countries by supporting research, innovation, and economic growth. While the journey through doctoral education is often described as transformative, the path to completing a doctoral degree is rarely straightforward. Beyond completing coursework and writing a dissertation, it requires learning unspoken academic rules, building relationships with faculty […]

This project develops a dynamic, self-learning wildfire evacuation routing system designed to improve public safety during fast-moving wildfire events. Traditional routing methods can identify effective paths but often fail to adapt quickly to rapidly changing fire behaviour and real-world driver responses. To address these limitations, the project introduces a Deep Reinforcement Learning (RL) framework in […]

Medical imaging techniques, such as X-rays and CT scans, are vital for the accurately detecting diseases. However, medical imagining techniques subject the patients to ionizing radiation, with the cumulative effect of these repeated imaging procedures over one’s lifetime leading to higher risk of cardiovascular disease and cancer. Children are more vulnerable to radiation effects. To […]

This one-year Accelerate project is the initial phase of a larger collaboration aiming to improve outcomes for men undergoing a specific prostate cancer treatment. The treatment, called MRI-guided transurethral ultrasound ablation (TULSA), is a minimally invasive procedure that uses high-intensity ultrasound to destroy prostate tissue, with MRI technology helping to plan and monitor the process. […]

The goal of this project is to develop effective strategies to improve the quality of CarboMat’s asphaltene-derived carbon fibers for various multifunctional composite applications. Through this project, the partner organization, CarboMat Inc., would be able to leverage their funding because of the grant from Mitacs Elevate to work towards further development of their existing asphaltene-derived […]

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Canola is an important oil seed crop grown in western Canada and many parts of the world for its oil, biofuel, and meal utilization. One of the challenges faced by Canola growers is pod shatter which can lead to significant yield losses. With the advancement in seed technology and trait improvement there are now innovative […]

The project will investigate the relationship between Deep Vein Thrombosis (DVT) and temperature. The intern will use researched knowledge and thermal metrics to create a phantom, design a simulated trial to gather data (acquiring and processing several images), analyze (reviewing data and performing analytics), model (create specific DVT data models) and validate the simulated data […]