Low Data Drug Discovery

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]

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Improving Receipt Classification Through Text Processing

10sheet is a third party software company aimed at providing easy bookkeeping to client companies. One of the steps in bookkeeping is classifying receipts based on their content. Without relying on a human bookkeeper, 10sheet uses a classification algorithm to build an automatic classifier for this purpose. However, such a classifier needs to have a […]

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Revitalizing Indigenous traditional management of salmon – evaluating risk, opportunities and needs for re-emergence of traditional terminal fisheries

First Nations have fished for salmon in British Columbia for more than 10,000 years. Traditionally, many First Nations fisheries were conducted using weirs – fences constructed in the river – or stone fish traps, and these traditional technologies were used for thousands of years to manage and harvest salmon. However, with the arrival of commercial […]

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New Catalysts and Chemical Processes for the Pharmaceutical Industry

Synthetic chemistry is used to assemble the small organic molecules that comprise many of the important consumer products used by society every day. Such fine chemicals are used to assemble drugs, agrochemicals, electronics, materials, dyes, etc.. Metal catalysts are part of the arsenal that the synthetic chemist uses to make such prized small molecules and […]

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Computational and Experimental Evaluation of Leading-Edge Droops for Performance Enhancement of Wind Turbine Rotors

Wind power is becoming an important source of clean electricity. However, wind turbines operating at low wind conditions suffer from reduced efficiency and reduced electricity generation. Leading-edge droops are small extensions added to the front of the blade that can potentially improve the turbine efficiency under low wind speeds. The Mitacs project will investigate how […]

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Integrated Configurable Power Input/Output Systems for Avionic Applications

Thales Canada develops control systems for avionics applications, which operate in harsh environments that may compromise the functionality of very high density chips. The company needs to develop a generic power interface for different avionics applications with a high level of criticality. However, such circuitry requires a lot of space on printed circuit boards when […]

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Application mobile pour collecter en temps réel les données de blessures post-traumatiques des pompiers

Le personnel de sécurité publique, y compris les pompiers et les premiers répondants, peut être exposé à des événements troublants ou menaçants, tels que des blessés graves, des enfants décédés et des personnes en détresse. En moyenne, les pompiers assistent à environ huit différents événements potentiellement traumatiques au travail chaque année. Des blessures de stress […]

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Optimization of a calibration procedure for Mecademic’s Meca500 robot arm

Mecademic manufactures the smallest and most precise six-axis robot arm. The repeatability of this robot is better than 0.005 mm, but like any industrial robot, the robot’s accuracy is far worse. The only practical way of improving the robot’s accuracy is to calibrate each individual robot. While various methods for the calibration of six-axis robot […]

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Arsenic solubility and its mechanism from DST glass arsenic product; an arsenic solubility study and comparison with other stable arsenic minerals (scorodite, encapsulated scorodite, and calcium arsenate)

The project focuses on the evaluation of the arsenic-containing glass material that the new Dundee Sustainable Technologies (DST) process produces. The idea is to evaluate the stability of arsenic in the material, and through a feedback process to DST improve the quality of the process for the production of arsenical materials.

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Temporally consistent employee group labels

Analytical applications in large organizations across even intermediate time ranges are often made complex, costly or even impractical due to temporal inconsistencies in the available data. The ever-changing nature of organizations causes categorical labels in data to change over time. This is particularly true for HR data, as the organization adjusts to changes in skillsets, […]

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Pan-Canadian Survey of Education Funding Structures and Processes

Across Canadian provinces, there is little standardization or coordination in terms of public education financing. As such, there is no coordination or standardization in public education across Canada. The IPE/BC is interested in producing a report that outlines the diverse funding models used across Canadian provinces and territories. The aim of this project is to […]

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