Modeling atmospheric gas dispersion using computational fluid dynamics – Part 2

Although rare, industrial facilities can suffer from minor to catastrophic failures, commonly referred to as loss of primary containment (LOPC), which can result in the release of hazardous gases and/or liquids. In order to protect the safety of the public, companies must provide a means of mitigating the potential damage to people and the environment. […]

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Perovskite Solar Cell Development

The concern regarding the environmental impacts of climate change due to the consumption of fossil-fuels for our daily energy needs has notably increased over the past decade, resulting in a rapid increase of renewable energy implementation. The solar energy industry in particular has seen exponential increases in production worldwide. Perovskite solar cells gained critical acclaim […]

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Shipping Noise Characterization in Shallow Water Environment

Underwater acoustic propagation modeling was largely advanced by the world’s Navies from WWII until the early 2000’s. Growing evidence of the effects of sounds from human activities on marine life has made propagation modeling relevant to a much broader community including marine biologists, ecologists, regulators and environmental non-governmental organizations. In this project we aim to […]

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Combining deep learning neural networks and spatiotemporal models for prediction and inference of residential house prices for property assessment

Property valuation is a crucial economic service that is used by local governments for the distribution of property taxes in order to fund local services. The current and widely adopted cost approach to valuation is based on estimating the land value and the depreciated cost of the building. This approach relies on third party cost […]

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Multiscale Modelling of Crystallization in Stirred Tank Reactors

Crystallization is used to produce solid form drugs in the pharmaceutical industry. It is important to understand how operating conditions affect the crystallization process because these conditions will impact product quality. The purpose of this project is to develop a computational model that can predict crystallization process performance over a wide range of conditions. The […]

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Designing Criteria to Visualize Energy and Reduce Energy Consumptions

Because of pollution and climate change, reducing the use of energy produced using fossil fuels is a priority in the next few years. To reach the goal actions need to be taken such as increasing energy production using renewable sources and reducing consumptions. To save energy people should be aware of the energy they are […]

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Novel Treatments for bladder inflammation and pain

Interstitial cystitis is an inflammatory disease of the urinary bladder and is recognized as a serious medical condition associated with a profoundly negative impact on patients? quality of life. Currently, there are no widely acknowledged causes of this disorder and no effective treatments available. Panag is a Halifax based drug company which focuses on development […]

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Development of clinical functional near-infrared spectroscopy device

In this project, Axem Neurotechnology will test a prototype of its first product—a brain measurement device to be used in rehabilitation following stroke. The prototype will be compared to an established device (currently used exclusively in research) using measurements on healthy people, and will also be used to take measurements on stroke patients in both […]

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Active Learning for Fish School Recognition in Echograms in the Bay of Fundy

OERA use hydroacoustic echosounder surveys to evaluate the impact on marine life of tidal turbines in the Bay of Fundy. OERA use Echoview software to read in the raw sensor data (e.g. voltages) and convert it to a visual representation. Echoview contains some algorithms to detect the bottom of the ocean. However, the Fundy data […]

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