Implementing Advance Scheduling Technology to Reduce MRI/CT Patient Wait Times

The objective of the research project is to validate a new advance scheduling algorithm for MRI & CT bookings at a partner hospital and to design a scalable approach for future validation and implementation at other sites. The MDP model that books multi-priority patients with varying resource requirements to a single resource will incorporate the […]

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The SAVI Smart Edge Deploying D2D with Massive Multiple In Multiple Out (MIMO) Antenna Architectures

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence. These application platforms will be supported by an […]

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Improving in-situ SVE remediation process through an integrated stochastic simulation-optimization system at the Cantuar sitea

This project is to help SaskEnergy characterize the pollutant transport behaviors under the remediation process of SVE through advanced modelling system. Such a modelling system employs a series of stochastic analysis methods to quantify the random features in the subsurface at Cantuar site such as the porosity, hydraulic conductivity and so on. Then, relationships (or […]

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A remote sensing-based wetland inventory and classification framework for Newfoundland and Labrador using satellite optical and synthetic aperture radar data

This project aims to develop a remote sensing based framework for Newfoundland and Labrador (NL) wetland inventory and classification and monitoring through the synergistic use of satellite and airborne multi-spectral and ortho-imagery and space-born synthetic aperture radar (SAR) data. The proposed project involves collaboration from C-CORE, Ducks Unlimited Canada, and Santec. The results and approach […]

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Developing advanced ore sorting sensing systems for gold deposits

This research focuses on novel sensor-based algorithms for sorting rocks and categorizing them as good (valuable) and bad (worthless) rocks. The sensors in the sorter will “see” the rocks characteristics, whether it’s their color or atomic density or the desired element and send a command to a mechanical arm, for example, to separate the two […]

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Developing a novel solar cell incorporating graphene and collaborative technologies

The rapid depletion of fossil fuels (such as Coal, Natural gas, Oil etc.) and the escalation in environmental pollution have prompted increased investigations in the field of alternative energy sources. In this context, solar cells are being studied to satisfy the increasing power needs of today’s society as photovoltaic power uses pollution-free energy source, solar […]

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Calibration of a Novel Orifice Plate Flow-meter

Accurate measurements of mass flow rate in a pipe is crucial to virtually every industrial process where a fluid is moved from place to place. The velocity measured in a pipe is often determined by measuring the pressure drop over an orifice plate. Once this orifice plate is properly calibrated, the velocity and in turn, […]

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Non-Stationary Time-Series Analysis based on Geometric Signal Modeling

High dimensional signals may arise in many fields of science. For example, biomedical signals such as EEG and EMG can be modeled by few latent processes measured by a large set of noisy sensors. In such applications the goal is to identify the latent intrinsic variables, which describe the true, intrinsic state of the system, […]

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Deep learning for tooth wear monitoring of mining shovels

The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach […]

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Evaluation of cyanide and thiosulphate lixiviant systems for KSM Seabridge gold circuit

Most of the gold that is produced by hydrometallurgical processes is recovered by cyanide leaching. However, the reactive nature of some minerals questions the applicability of cyanide technology for selected applications. The current research is designed to evaluate the cyanide technology as well as an alternative processing path for a particular material through extensive experimental […]

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Torsional Effects on Structural Self-Tapping Screws in Canadian Douglas Fir

With a growing concern to reduce carbon emissions, timber construction has is experiences a rebirth in Canada and abroad. The availably of engineered wood products, innovations in manufacturing, and changes in the building codes are some incentives for timber becoming a materials choice. Connecting these large timber members is done efficiently with the help of […]

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