Vacuum residue (VR) is the heaviest part of crude oil accounting for a large proportion in modern refineries, while its utilization routes are generally of low efficiency and high energy intensity, and thus economically and environmentally unfavorable. Similarly, bitumen recovered from Steam-assisted gravity drainage (SAGD) process experiences high viscosity and density as well as high […]

There has been an increased commitment to capping GHG emissions from oil/gas (O/G) operations. However, reliable monitoring and quantification of methane emissions from particular sources are difficult for several reasons: (1) high-resolution sampling data over an extensive geographical area is rare; (2) identifying emission sources from large-scale monitoring satellite data is extremely challenging, often yielding […]

Calves are born without antibodies needed to fight off disease. The only source of antibodies available for the first few weeks of a calf’s life comes from maternal colostrum, the first milk produced by the cow. Calves are able to absorb these antibodies for approximately 24 hours of life, and absorption rates vary widely. Currently, […]

The mineral resource sector is one of the key industries in Canada and Canadian companies are major stakeholders in global mineral exploration and mining activities, including gold exploration. Prospecting takes time, resources, and substantial financial support. Currently, samples collected in the field are shipped to specialized laboratories for analysis. In addition to substantial costs, results […]

AltaML is a purpose-driven organization, with a mission to apply AI to elevate human potential. We describe ourselves as an Applied AI Studio, meaning we operate as a venture studio for applied AI. We work with large organizations through Corporate Lab engagements, continuously examining different AI use cases and moving the most valuable models to […]

The goal of this project is to train and test a machine learning algorithm to detect pharmaceutical contaminants in water. Surface nanodroplets will be generated for several key compounds. These, will be used as independent extraction medium with varying contaminant concentration. The large number of droplets will enable collection of a high quality training data […]

Using simplified language understandable to a layperson, provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100-150 words) The project has been developed in concurrence with the Sinneave Foundation’s aim to improve outcomes in education, employment and housing […]

Sequestration of atmospheric and industrial CO2 through carbonation of reactive waste minerals is a proven method for curbing emissions from the mining sector. Carbonation technologies have also been shown to be effective at reducing potentially toxic metal mobility in alkaline mine wastes. However, the molecular scale mechanisms of metal cycling associated with mineral transformation reactions […]

This continued project is aimed at using state-of-the-art machine learning, mathematical and AI techniques to create profitable trading strategies in derivative markets. Using our existing framework, we now seek to apply modern algorithms/models with the explicit purpose of implementing fully independent algorithmic trading strategies.

An individual’s voice is unique due to a combination of their physical and social characteristics. For children who present with complex communication needs (CCN), sometimes the only functional way to communicate is by using an augmentative and alternative communication (AAC) device. AAC devices with speech output capability are known as voice output communication aids (VOCAs). […]

IHE has a variety of relevant work for MPH students with a quantiative background. In addition to work examining cost effectiveness of health interventions, IHE has ongoing work on long COVID, on the integration of infectious disease models with other domains of modelling, and other topics where the student and IHE can collaboratively define a […]

Currently, most small or medium manufacturers inspect products or parts’ visual quality manually. The manual visual quality inspection is error prone, subjective, and labor intensive. In recent years, image-based automated inspection has seen exciting uptakes in many modern factories. One critical challenge that limits their vast potentials lies in its ability to detect anomalous situations […]