World Class Manufacturing Technology Transfer: Engineering Lytehorse for Production

Lytehorse has designed an electric, stand-up riding, all-terrain vehicle that is quiet and minimizes its ecological footprint. This sustainable and powerful mode of transportation has diverse applications attracting customers from military, recreational and other industrial fields. The team has already established a network to source parts, customize component manufacturing and is currently embarking on small […]

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Generative Face Models for Video Chat and Broadcast

In today’s world, the video chat and conferencing has been a necessary part of overall routine life (both personal and work). Currently, the video chat and broadcast technologies require lots of bandwidth to transmit high quality data. In overall project, we aim to make video transmission data intelligent by using the state-of-the-art AI technology. This […]

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Deep Learning Dataset Augmentation for Detecting Rare and Severe Contaminants in Waste Management Collection.

This project strives to identify rare and severe contaminants found in residential curbside recycling. Using computer vision techniques and machine learning, cameras analyze contaminants as they are tipped into recycling trucks. Some of these contaminants are rare, however they can pose severe risks to operators and the general public. As these contaminants are not common, […]

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An integrated study of CO2-based CSI process and CO2 saline aquifers geo-sequestration

CO2 geo-sequestration is an efficient approach to reduce CO2 emission and achieve zero carbon emission with minimum impact on economic growth and people’s wellbeing. This project focus on optimizing carbon utilization in heavy oil reservoirs and CO2 geo-sequestration in the underline saline aquaifer with three key objectives: optimizing CO2 injection in heavy oil reservoir to […]

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Integrating Reservoir System Information for Cyclic Solvent Injection Process to Support Post-CHOPS Field Development

Heavy oil (high viscosity oil) is trapped underground. Cold heavy oil production with sand (CHOPS) is an enabling technology to extract heavy oil through wormholes forming around wellbore. There are thousands of CHOPS wells in Saskatchewan and Alberta with low primary oil recovery. Cyclic solvent injection (CSI) enhanced oil recovery process stands out as one […]

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Estimating Organic Matter, Soil Surface Roughness, Plant Stand Count, and Inter-plant Spacing from High-Resolution RGB Imagery

Precision agriculture is adopting site-specific agriculture practices reducing farm inputs and increasing productivity. Site-specific agriculture requires information about every inch of the field. Provided the large farm holding of the Canadian Prairies, getting extensive information about the field is an uphill task. Currently, limited samples are taken from the field resulting in low spatial resolution. […]

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Vehicle Re-identification using Computer Vision and Machine Learning

This work aims to design and develop an efficient visual based vehicle re-identification system for International Road Dynamic. Vehicle re-identification, which is defined as: Identifying, classifying, and position-referencing a vehicle of interest through images/video streams collected via a network of camera stations, plays a key role towards developing intelligent transportation system.

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Investigation on the Effects of Water-in-Oil Emulsion on CSI Recovery Performance from Microscopic Perspectives

This research work will establish a systematic workflow for analyzing transient equilibrium foamy oil phase behavior by coupling the m-CCEC tests, depletion rate and presence of water-in-oil emulsion from microscopic viewpoint which are seldom performed for heavy oil. It will provide a strong connection and comparison with previously studies which was conducted in the absence […]

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Dynamic Network Management and Performance Optimization for Smart Talk Beacon’s security architecture

Internet of things (IoT) systems require significant management related to external intrusions, internal threats, device failures, access management, and performance monitoring. In addition to network management issues, quality of service (QoS) must be maintained to predict changes and determine device and network performance. A good IoT system should be able to identify, track, and mitigate […]

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Evaluating Physical Climate Risks to Alberta’s Key Industrial Sectors

This project is a study of the impacts of climate change on the economy of Alberta. The partner organization is a financial services company. They need information on climate risks to the largest and most climate-sensitive sectors, such as the oil and gas and agricultural industries. To assess these risks, the intern will collect information […]

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Public Engagement in Nuclear: Medicine, Mining, Meeting Climate Change Commitments

This project explores methods of engagement and communication that bridge the science, public and policy gap in respect of the nuclear ecology: medicine, mining, and meeting climate change commitments (through nuclear energy small modular reactors (SMRs)). Saskatchewan, the home of uranium mining and where scientists helped develop the world’s first cobalt-60 nuclear medicine scanning machines, […]

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