Experimental validation of data enabled predictive control

Developments in machine learning have increased interest in data-driven methods, particularly in predictive control. Data-enabled predictive control has been claimed to provide a data-driven end-to-end solution. It includes robustness guarantees obtained through regularization, borrowed from popular machine learning methods. These novel methods use data in a new framework, where analysis methods used in adaptive control […]

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Image Processing for Digitalizing Engineering Drawings

This project will focus on digitalizing one specific type of engineering drawing by applying image processing technology. IPS has developed technology to digitalize different types of engineering drawings, and identified different technology and product development needs on a technology road map. This project is established for image processing for piping isometric drawings, and is important […]

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Natural Language Processing (NLP) powered Clinical Documentation

Our company is developing an AI-powered clinical documentation platform. In the proposed project, the intern will assist us in improving our Natural Processing (NLP) models designed to automate clinical documentation for Orthopedic Physical Therapy clinics. These NLP models will be capable of processing text comprising medical vocabulary and terminologies. With this project, we aim to […]

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Newmont Nature-Based Decarbonization (scoping study)

Like many of the world’s largest mining companies, Newmont is voluntarily targeting net-zero carbon emissions by 2050. Recent research on technical feasibility of mining operation decarbonization has shown that mining companies may be able to achieve up to 70% carbon emissions reductions through internal initiatives, but may require options to capture and store carbon (either […]

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Blood single-cell RNA profiling of interstitial lung diseases

Interstitial lung diseases (ILDs) are debilitating disorders that cause patients to slowly lose their lung function, resulting in shortness of breath, limited capacity for movement, and subsequent death. Over 15,000 Canadians currently suffer from some form of ILD, yet not all of them receive proper therapy, partly due to difficulties in identifying the precise ILD […]

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Seasonal Habitat Use and Sources of Environmental Stress of Fish in an Urbanized Coastal Inlet (the Port Moody Arm)

Burrard Inlet’s marine environment has been impacted by industrial and commercial activities and residential development for many decades. These coastlines provide critical habitat for various fish species. Port Moody Arm is one sub-basin of Burrard Inlet which has particular importance for Pacific salmon and forage fish. Industrial activity and development patterns in this area have […]

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Optimization of the detection of mycotoxins in plant material using LCMS

Mycotoxins are acutely toxic compounds produced by fungi when they infect food crops such as grains and cereals but can also be found in cannabis flower and products. These compounds are known to cause cancer and kidney failure when ingested and are therefore closely regulated by Health Canada. There are 4 main mycotoxins that are […]

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Hardware In The Loop Model for Complex Energy Systems

As the global demand for clean energy increases, the next generation power systems design has become more complex than ever. Since renewable electrical power can be generated locally, the power flow is not only from the utility to consumers, but also from any sources (i.e. photovoltaics, internal combustion generator, electric vehicle battery pack, etc.) to […]

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Insect community metabarcode sequencing for mine reclamation monitoring

Mining is important to the Canadian economy, contributing an estimated $43.9 billion in 2020 while addressing growing demand for minerals. Mine operations disturb natural environments, and Canadian federal and provincial authorities have instituted the Mines Act, and the Health, Safety and Reclamation Code for Mines in British Columbia, providing a regulatory framework for mine closure […]

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Endur Apparel Digital Marketing Strategy

Digital marketing is central to the success of many small businesses and particularly important to e-commerce businesses such as Endur Apparel. Endur Apparel sells high performance custom socks, subscription socks, and individual pairs of socks to athletes and other customers who seek a unique combination of style and performance, with an exclusively digital strategy. The […]

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Machine learning classification of Canadian mammal bones

Natural history collections and the specimens stored within are vital to our understanding of biodiversity, ecology, and evolution. To both preserve and increase their accessibility, efforts are being made to digitize the world’s natural history collections. In herbariums (natural history collections for plants), machine learning is being used to assist the digitization process by classifying […]

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