Predicting In-patient Discharges to Identify Bed Availability for Housekeeping During Emergency Department Surge Using Machine Learning Algorithms

Prolonged patient waiting times for an inpatient bed in the Emergency Department (ED) is considered a global crisis and most cited reason for the ED crowding. Inability to move admitted patients from the ED to an inpatient bed due to capacity shortage and inefficiencies in patient-flow affects patient care and patient experiences. Housekeeping is crucial […]

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Development of a calibration method for Mecademic’s Meca500 robot arm

Mecademic manufactures the smallest and most precise six-axis robot arm. The repeatability of this robot is better than 0.005 mm, but like any industrial robot, the robot’s accuracy is far worse. Although all robot parts are machined and assembled precisely, the only practical way of improving the robot’s accuracy is to calibrate each individual robot. […]

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Simulation and Analysis of Aerators at Fish Farms

Fish farms are a way to satisfy the increasing demand for fish without directly impacting wild stocks. In fish farms water quality significantly impacts fish health and development. Industrial fish farms rely on aerators for multiple purposes, including the oxygenation of water and the isolation of fish from plankton blooms. However, at this time, several […]

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Energy and Seismic Retrofit of Buildings

In Canada, being one of the coldest countries in the world, buildings consume about 40% of national energy demand and in the western part of the country, particularly on Vancouver Island, many buildings do not meet current seismic code requirements. Hence, simultaneous building energy and seismic retrofit options can produce significant savings for building occupants […]

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RLCapture: A deep reinforcement learning based control strategy forswitching between motion capture inspired controllers.

Making robots walk and balance as well as humans is extremely difficult. New techniques involving machine learning have shown promise in getting robots to mimic the movements of humans recorded using motion capture technology widely used for videogames and movies. While these techniques show promise, they are still in development, and have difficulty switching between […]

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Development of improved fuel cell system hybridization, control and on-board diagnostics for heavy duty bus and rail applications

This proposed research project is an extension of a previous NSERC CRD project that is investigating hybridization optimization of Proton Exchange Membrane Fuel Cells (PEMFCs) used in FC bus and rail applications. The models developed in this research are expected to yield improved fuel cell and system lifetimes in service, and improved detection and mitigation […]

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Marine Additive Manufacturing Centre of Excellence

The proposed NBIF RIF project will establish a UNB Marine Additive Manufacturing Centre of Excellence (MAMCE) in Atlantic Canada. The focus of the centre is the marine and defence sectors with vision for global marine technology trend for 2030, which includes additive manufacturing, and advanced materials. MAMCE’s mission is to accelerate the adoption of metal […]

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Bio-Aggregate Based Construction Materials for Sustainable Farm Buildings

This research aims in utilizing agriculture wastes in production of sustainable eco-friendly construction materials for farms building. The mechanical and durability performance of the proposed eco-friendly construction material exposed to the aggressive agriculture environment will be evaluated. The research will investigate the effects of different factors mainly related to physical properties of used wastes and […]

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Artificial Neural Net for He nano-bubble identification in structural materials for nuclear power applications

Nuclear power plants provide stable, carbon-free electricity to Canadians. In order to ensure their safe operations, materials in the reactors must be characterized on a regular basis. This project aims at developing an Artificial Intelligence—an artificial neural network—with the aim of automating the indentification of helium bubbles in Ni-based alloys currently in use in Canadian […]

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Predictive Control Approach for Converted Multi Zone Residential Buildings with Central HVAC Systems

The current project aims to study a novel energy management system for residential heating ventilating and air conditioning (HVAC) system. Independently controlled wireless air damping vents will adjust the air flow in different zones of the building allowing independent control of the temperature which results in enhanced thermal comfort and energy savings. The intern will […]

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