Alberta High Resolution Wetland Inventory Methodology Development

This project aims to operationalize innovative methods for developing cost effective wetland inventories across Alberta by use of numerous sources of remote sensing data, namely light detection and ranging (LiDAR), synthetic aperture Radar (SAR), and optical imagery. The project will formalize a mapping specification, develop training and validation datasets (available in-kind from the academic supervisor […]

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Machine learning in fluid composition quantification

A critical issue in the oil and gas industry is to quantify the composition of fluids flowing back from the hydraulic fracturing process. This quantification is usually carried out by a manual process (frequently via a visual test) to estimate the water and oil produced from a well flow back process. A sample of these […]

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Machine-to-Machine Remote Asset Monitoring & Optimal Inspection and Repair Logistics

Cyber-physical systems or Industrial Internet of Things (IIoT) applications are more advanced than commercial IoT devices/applications mainly because of the prevalence of connected sensors and embedded systems in the industrial world. The objective of this project is to develop and package a low range, low power (LoRa Technology) remote asset monitoring and control system for […]

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Effects of Dietary Fatty Acids on Overwinter Survival of Underyearling Striped Bass (Morone Saxatilis)

To achieve the goal of commercializing striped bass aquaculture in Nova Scotia, the obstacle of high (up to 100%) overwinter mortality among young-of-year fish needs to be overcome. Mortality is restricted to fish that are under one year old (underyearlings, 500g) suffer negligible mortality. Potential factors for such low survival rates identified through four years […]

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Junior hockey competence analytics

Analytics is about awareness of the states of knowledge of users. Users can become aware of their owns states of knowledge at different levels. Analytics measures such levels of each user, and engages them in taking initiatives to hop from one knowledge state to the next. The hops happen mostly gradually, depending on the capacity […]

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Identifying transportation mode based on smartphone sensor data using machine learning tools and statistical methods

Detecting an individual’s transportation mode has an invaluable role in applications, by allowing the application to be aware of user’s current context, and modify their functionality accordingly. There has been numerous research in this area, each using a different approach and achieving different outcomes. The goal of this internship to better understand the state of […]

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Modelling challenges in the fundamental review of the trading book

Upcoming changes to financial regulation and oversight are creating increased demands for the accurate measurement of financial market risks and the provisioning of adequate economic capital to ensure that financial institutions can withstand market shocks and extreme events. The objective of this research project is to study issues related to the theory, performance, and practical […]

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Precious metal mineralization at submarine volcanic centres: insight from the felsic centres of the Abitibi greenstone belt, Quebec, Canada

The proposed study will examine the volcanological, mineralogical and geochemical evolution of the felsic volcanic complex hosting Horne deposit in a comparative study with the surrounding felsic volcanic centres in the Rouyn-Noranda region of Quebec. Volcanic and intrusive facies, alteration phases and mineralization styles will be described for each centre. Mineralization will be further examined […]

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Physiological assessment of cochlear and auditory nerve integrity in children suspected of auditory processing disorder

The American Speech-Language-Hearing Association (ASHA) recommends to include electrophysiological measures in their auditory processing disorder (APD) assessment battery. But few audiologist include electrophysiological assessment due to lack of evidence. There is strong evidence of auditory brainstem abnormality in these children. However, very less is understood about stimulus processing within the cochlea, auditory brainstem coding in […]

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Proxy models for Thermal Production Optimization

Amid the tough challenge of dwindling oil prices, GE is seeking for new technology to create production forecasting and optimization tools that simulate the real operating environments and optimize across the entire process, providing actionable insights that help producers achieve their cost, production, and environmental goals. The objective of this project is to develop data […]

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