Cement kiln dust (CKD), a highly alkaline byproduct of cement manufacturing (Elbaz et al., 2019), is produced in large quantities and is commonly disposed of in landfills despite its potential value as a soil amendment. CKD may improve soil pH, nutrient availability, and soil functioning, and it may also help reduce greenhouse gas (GHG) emissions […]

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 […]

The project aims to modernize Bravo Target Safety’s HR operations by documenting all HR processes, assessing data integrity across employee files, and identifying opportunities for digitization and automation. Through structured research—including interviews, workflow mapping, systems analysis, and technology assessment—the intern will evaluate current practices, uncover bottlenecks, and recommend improved, scalable workflows. Over a four-month period, […]

This project studies the vISA, and associated compilation pipeline for quantum hardware architecture, working to improve its feature set and efficiency. It will also investigate hardware constraints such as qubit connectivity, by studying qubit mapping and routing across the memory and compute regions.

Muhammad Soban Shoaib (Soban) will work alongside the Brilliant Harvest Team on the white label app shared component layer for web and mobile applications Description: This project is to capitalize on the efficiencies of having our front end applications being in React and React Native. Due to the similarities of the two frameworks, it is […]

Daman will work alongside the Public Sector Team as an Associate Software Developer. Unlike traditional single-project placements, Daman will operate as part of a cross-functional technical cohort supporting a diverse portfolio of Government of Alberta initiatives. This flexible model allows the team to deploy the interns across multiple high-priority use cases, such as document classification, […]

This project will help Westrich Pacific strengthen the internal systems that support its high-rise development, construction, and leasing operations as the company continues to grow across Western Canada. The proposal notes that Westrich faces increasing complexity in areas such as “internal communication between development, construction, and leasing teams” and “workflow standardization across projects and regions.” […]

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 practical analytics framework to examine how early-stage quantum startups present their business models, target markets, and commercialization plans. Using structured data collection and interpretable machine learning methods, the project will assess whether startups’ technical positioning aligns with clear and realistic market pathways. The result will be a transparent Commercialization Alignment Index […]