Beyond the COVID-19 pandemic: Identifying and analyzing inter-systemic cascades

This project aims to improve our understanding of the impacts of COVID-19 and its related impact on economic, food, and energy systems. While conventional attempts to understand these trends and help decision makers prepare for possible shocks tend to fixate on individual systems, this project investigates the complex interactions between these systems and the possibility […]

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Développement d’un algorithme de classification des nuages de points lidar aéroporté par apprentissage profond

La compagnie XEOS Imagerie oeuvre dans le domaine de l’acquisition de données lidar (Light Detection and Ranging). Elle désire extraire automatiquement les points associés au sol et aux objets à partir du nuage de points 3D brut de l’acquisition lidar. La procédure actuelle pour classifier les points repose sur une combinaison d’algorithmes spécialisés et d’interprétation […]

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Low cost wearable and continuous temperature sensor for COVID-19 pre-screening with remote monitoring (TEMPOS)

This project will undertake the development of a cost-effective, continuous monitoring, wireless temperature sensor. The sensor development undertaken with NURO will integrate the hardware with software algorithms designed to track and deliver a simple output for healthcare monitoring. The device is anticipated to be employed for tracking of COVID-19 in front line workers by monitoring […]

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Impact of oil and gas activities on shallow aquifers in the Fox Creek area

In this project, in order to analyze aerial deposition of contaminants resulting from oil and gas activities in west-central Alberta, samples of snowpack will be collected from the Fox Creek area for chemical analysis. Using the chemical analyses results, a map of the contaminants deposition and their potential sources of release will be delineated. The […]

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Evaluating the Performance of Real-Time Collaboration on Mobile Devices

Real-time distributed groupware systems are becoming common, but real-time interaction is still poorly supported, particularly on mobile devices. The problem to be addressed in this project is that current mobile groupware systems do not provide adequate support for high speed tightly-coupled interaction. The two main activities will be to evaluate the capabilities of mobile devices […]

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Integration of Data Mining into a Homomorphically Encrypted System: Enabling COVID-19 Researchers to Discretely Mine Sensitive Data

Krate Distributed Information Systems Inc. (Krate) and Saskatchewan Polytechnic (SP) are developing an advanced encryption module that will integrate with the distributed computer platform of fellow startup Distributed Compute Labs (DCL). DCL’s distributed computer is already functional and in use by scientists and researchers across Canada. This module will equip DCL’s distributed computer with the […]

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Étude des systèmes de communication V2X pour l’automatisation des mines souterraines

L’industrie minières ne cesse de développer les moyens lui permettant d’améliorer à la fois la sécurité de ces travailleur et l’efficacité de sa productivité. L’usage des véhicules connectés et automatisés (CAV) représente la future étape transformatrice de cette industrie lui permettant d’atteindre ces deux objectifs toute en permettent à celle-ci de prendre le virage de […]

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Transfert de données anonymes en mobilité à travers la « preuve à divulgation nulle de connaissance »

A-Malgam Technologies Inc. est une entreprise québécoise spécialisée dans le développement Blockchain et IoT pour la mobilité des données massives. Dans un souci d’offrir des solutions plus conviviales et sécurisées à ses membres-clients, A-Malgam souhaite explorer les capacités des technologies émergentes et ce qu’elles peuvent apporter lorsqu’il est sujet de transfert de données anonymes en […]

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Mobile Data Usage & Signal Strength – Manage, Analyze and predict estimated data usage and signal strength to conduct automatic cause analysis using deep neural network and unsupervised learning techniques

Enterprise mobility management enables to collect various metrics from million of devices. This industrial research project focuses on identifying the key performance indicators and formulas to identify and predict coverage issues and identify data usage problems within a device. Using the key performance indicators, the intern will explore all feasible machine learning approaches. Final goal […]

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Exploratory pharmacokinetic and preliminary efficacy modelling of select orally administered antiviral compounds following DehydraTECH formulation enhancement

Researchers around the world are racing to find treatment solutions to combat COVID-19, the disease cause by infection of the novel coronavirus (SARS-CoV-2). The use of antiretroviral therapy has recently shown preliminary promise. However, a barrier relates to bioavailability challenges, i.e., poor uptake, of these drugs. Poor bioavailability limits drug utility which could be paramount […]

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Quantifying the Effects of Stress and Mycorrhizal Relations on the Production of Phytocannabinoids in Rhododendron dauricum and its Fungal Symbiont Albatrellus ovinus

Rhododendron dauricum produces medicinal compounds that are similar to cannabinoids (e.g. CBD). Cannabis plants are exposed to stress to increase their production of cannabinoids. The effect of stress on the production of medicinal compounds in R. dauricum is unknown. R. dauricum has a symbiotic relationship with a fungus, Albatrel/us ovinus, that produces similar medicinal compounds. […]

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Indoor Mapping based on recorded videos

Knowledge of indoor spatial information is vital to stores, warehouses, industries, and homes alike. It is used to optimize layouts to achieve easier navigation for humans, machines, and autonomous robots. Maps provide limited data about the specific placement of objects in the environment and inferring information about the physical space can be impossible. The objective […]

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