A middleware solution for remote Monitoring, data collection and communication

The proposed research project is intended to develop a software solution (middleware) that will work in conjunction with a remote communication device (i.e. ability to communicate via satellite and/or cellular networks) to greatly reduce the cost and complexity of monitoring in-field sensors including wireless sensors and critical industrial equipment from a centrally located office environment. […]

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Breaking Boundaries: AI-Driven Documentation at KidsAbility

Currently, KidsAbility therapists spend a substantial portion of their time on indirect client activities, primarily focused on creating extensive reports and notes that detail each child’s progress. For every minute spent with a client, clinicians spend up to two minutes writing these important documents. This process, while crucial, is time-consuming and diverts valuable resources from […]

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The behavior of germanium in the purification of zinc sulfate electrolyte

Zinc is extracted from sulfide ore by roasting – calcine leaching and direct pressure leaching of zinc sulfide, followed by zinc recovery from sulfate solution via electrowinning. Impurity elements in zinc sulfate solution must be lowered to levels suitable for electrowinning. The removal of many impurity elements is achieved using zinc dust cementation. However, when […]

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Characterization of legacy and expected future mine rock at the Grassy Mountain Project site using traditional and advanced kinetic testing

Mining operations generate large amounts of unused geomaterials (e.g., mine rock) that are generally stored on site in mine rock storage facilities (MRSFs). When mine rock is exposed to atmospheric conditions (i.e., atmospheric oxygen as air and water) sulfide minerals oxidize and produce acid rock drainage (ARD). The acidic effluent can subsequently leach metal ions […]

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Applications of machine learning to improve hydrological model regionalisation

Hydrological streamflow models are commonly used to warn populations of extreme events. The parameters of these models are typically calibrated to observed streamflow. The learned parameters can then be transferred to areas that are lacking streamflow observations, a process referred to as regionalisation. This project builds on previous work, which proposed using machine learning models […]

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Improving microangioscopic image visualization for use in stroke therapy

Ischemic stroke is caused by a blood clot within the blood vessels of the brain. A common technique to remove the blood clot is by using medical devices that can reach the clot through the arterial system. To properly deploy such devices, visualization of the blood vessels, clot, and therapy devices is required. This is […]

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Development of Hydrogen-Fueled Reefer Trailer for More Sustainable Operation in Transportation Sector

This project aims to develop a fuel cell-powered refrigerated trailer that can operate in different climatic conditions to provide cleaner transportation. Hydrogen will be the only source for refrigerated trailer operations. The present project has three objectives: to develop a thermal management system for extreme winter and summer conditions for operating the fuel cell under […]

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Optimizing bioinks for 3D bioprinting of cardiac tissue

In this research project, scientists aim to develop a new method for repairing damaged heart tissue caused by cardiovascular diseases (CVDs). They will use a technique called 3D bioprinting to create functional cardiac tissue using human stem cells. The researchers will develop a special ink that can be used to print the stem cells in […]

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