Anomaly detection using AI/ML for Network Correction

Anomaly detection or outlier detection is a technique to identify rare items, observations or events which are differing significantly from most of the data or do not conform to the expected behavior of the system. Typically, anomalous data cause numerous problems in the computer networking and communication system. This project aims to develop an advanced […]

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Creative Artificial Intelligence in Interactive Mobile Systems

The large amount of information available today on the web brings many challenges to the information retrieval and artificial Intelligence communities. Moreover, personalization is a key component in today’s successful mobile websites and interactive applications. In order to be effective, these websites are required to provide visitors with the information they need without the complexity […]

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IoT device fingerprinting and anomaly detection using ML

The number of Internet of Things (IoT) devices is expected to reach 50 billion devices by 2020 and the devices are increasingly diverse. They are disrupting traditional security measures. Mobile Network Operators (MNOs) have limited control over customers’ IoT devices, as they are deployed on the customer premises. MNOs need to deploy effective security controls […]

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Assessing Small Mammal Community Assemblages and PopulationDynamics across Multiple Geographic Scales on the Canadian Prairies

Small mammals (mice and voles) are a vital component of most terrestrial ecosystems; however, their communities have not been studied on large geographic scales because of limits imposed by conventional sampling methods (i.e., trapping). This project will take advantage of great-horned and burrowing owls as efficient surveyors of small mammal comunities. Specifically, small mammal community […]

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NOVEL IONIC LIQUIDS FOR HEAVY OIL ENHANCED RECOVERY

The use of ionic liquids (ILs) in enhanced oil recovery is considered a new and promising technology as it has never been tested in any pilot plant or reservoir field. ILs are very similar to surfactants as they help reduce the interfacial tension, change the wettability of the reservoir, and some have strong viscous effect, […]

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Development of Superoleophilic Coating for High-Efficiency Oil and Water Separation

Oil/water separation is one of the most challenging processes in oil production processes. Materials with superoleophilicity can selectively filter or absorb oil from oil/water mixtures. These materials can be highly efficient with a minimum footprint in the selective separation of oil and water. They can also be designed to be integrated with many conventional oil/water […]

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Perception, Mapping and Planning for Autonomous Indoor Cart Pullers in Plant Nurseries and Greenhouses

The project revolves around automation in nursery farms and greenhouses. The goal is to deliver planted pots using autonomous unmanned systems. Planted pots will be loaded/unloaded to/from plant carts using a small robot called BigTop, designed and developed at the supporting organization, AIS. Motion planning, control, and navigation algorithms will be developed through this project […]

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Collision-free Farm Field Coverage Path Planning using Autonomous DOT Vehicles

The objective is to: (1) develop full-coverage path plans for an autonomous DOT vehicle, designed and developed by Dot Technologies Corp., operating in a farm field, and (2) avoid collision with other agricultural machines operating in the same field, e.g., a combine, via model-based motion tracking using on board camera vision. A software suite, with […]

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Public Perception and Expectations of Paramedic Care in Saskatchewan

The proposed study is based on the premise that the public have valuable perspectives, insights, and ideas to offer regarding paramedic care. The study will use a qualitative descriptive research design to explore the publics’ perceptions and experiences related to paramedic care in Saskatchewan. Interviews and focus groups will be conducted with participants from different […]

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Microfluidics Study of Three-Phase Non-Equilibrium Phase Behavior

CO2 management have been an important research theme to minimize the GHG impact on Canadian environment. Enhanced oil recovery by injecting CO2 underground is a very efficient way to minimize the CO2 environmental effect. Meanwhile, after primary and secondary production, either CHOP or CHOPS well present a high water cut in the produced liquid stream. […]

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Curating Anti-Colonialism: Re-imagining the Institution through a Decolonial Lens

Understanding that art galleries must position themselves as open learning communities, the MacKenzie Art Gallery (MAG) proposes internships in Indigenous and new curatorial practices. Canadian cultural institutions have long considered themselves above the political. However, the Truth and Reconciliation Commission’s (TRC) Calls to Action have posed challenges to art institutions and their leaders are now […]

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