Manitoba Mathematics Action Research Project

Recently PLS has signed a contract with the Ministry of Education in Manitoba. The province has been experiencing declining math scores across the province in both international tests such as PISA and in their provincial standardized tests. Manitoba is deeply committed to improving students mathematical achievement and as a result has hired PLS to develop […]

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Development of Spatial Normalization Methods for Ventilation-Perfusion Scintigraphic Images

Ventilation-perfusion (V/Q) scintigraphy has a major role to play in the diagnosis of pulmonary embolism (PE). V/Q scintigraphy rather helps infer the presence of PE based on compromised perfusion of the occluded segmental and sub-segmental pulmonary arteries. Therefore, expert knowledge of the bronchopulmonary segmental anatomy on the various 2D planar projections of the lung and […]

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Development of field-ready AI model for estimation of compressive strength of concrete using non-destructive testing methods

The proposed project aims to apply artificial intelligence methods to augment in-place non-destructive testing technologies in order to reduce or eliminate the need for intrusive methods (i.e. concrete core extraction) for concrete strength estimation. The proposed approach is based on the SonReb method, which combines two non-destructive testing technologies, namely ultrasonic pulse velocity and rebound […]

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Risk-Aware Decision Support Systems for Critical Infrastructure Protection and Territorial Security

Robotic sensor networks (RSN) are increasingly applied to Critical Infrastructure Protection (CIP). In such an application, a RSN is deployed to safe-guard some critical infrastructure (e.g., building, pipeline, etc.) in a secure and reliable fashion. By actively considering risk as a major driving force, this project aims at deciding on the optimal configuration of an […]

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Machine Learning for Particle Detection

The overall goal of the project is too improve the precision of CMS, a detector used in particle physics experiment. The project will focus on two aspects: improving photon and electron detection and improving jet detection (a shower of particles). In the detector, multiple particles are detected at the same time. Photons and electrons are […]

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New Membrane Technology for Clean Drinking Water

Pharmaceuticals are considered intractable and easily transported into the water system. As a result, wastewater treatment plants (WWTPs) are unsuccessful in completely removing these contaminants. The successful removal of these pharmaceuticals depends on the removal and purification technologies that are being used and the physiochemical properties exhibited by these pharmaceuticals. Recent research from Canada concludes […]

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Evaluating rapid bacterial sequencing for clinical diagnostics

Antibiotic resistance is a major threat to the health of Canadians. The spread of antibiotic resistance organisms and lead to inappropriate antibiotic treatment and adverse health outcomes. With this project, one intern will be supported to learn and develop approaches for rapid bacterial diagnostics and surveillance, with direct relevance for knowledge translation and knowledge generation. […]

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Knowledge, awareness, and uptake of new Canadian Physical Activity Guidelines

Being physically active is associated with many health benefits. To help guide people on how much activity they need for optimal health, the Canadian Society for Exercise Physiology developed new Canadian Physical Activity Guidelines for all age groups. Specifically, this work will look at assessment, awareness, and uptake of the new guidelines as it relates […]

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Creating AR computer vision applications for children’s toys

The objective of this project is to explore the uses of Augmented Reality (AR), a technology that superimposes computer-generated animations, on a mobile user’s view of the real world, in the context of children’s gaming applications. These applications will allow children to experience a game as being directly tied to reality. Specifically, using for example […]

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Schroedinger Bridges and Generative Models

Conventional molecular discovery relies on high-throughput screening strategies (HTS) to identify molecules that match a specific set of user-defined properties. Unfortunately, due to the enormous size of chemical spaces (10^60 molecules in the case of the drug-like chemical space), HTS is usually performed over pre-built chemical libraries of moderate size, often by employing computational/AI methods […]

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Alacrity Ottawa – Startup Builder

The Alacrity Ottawa – Startup Builder is a program between L-SPARK and University of Ottawa to work with selected students from the MEED program to assist them in creating and launching a new company.

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