Determination of groundwater effects of the new Foothills Regional Waste Management Center storm-water management system

A new groundwater monitoring will be conducted consistently throughout the precipitation period (May~October) to collected a seasons worth of data around the “Engineered Forest”. The newly collected data will then be compared to historical values of the FRWMF to see if there are any observable differences between the two. This will prove there is no […]

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Assessment of deep learning for analyzing radar signals in maritime environment

The proposed internships aim at investigating the relevance of deep learning (DL) techniques for target detection in radar data processing. More specifically, we are looking to demonstrate the feasibility of DL techniques to deal with unusual types of data (i.e., radar data) in situations where an well performing processing with classical techniques is a challenge […]

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Full characterization of Drug-Drug interactions using deep learning methods

Better understanding Drug-Drug interactions (DDIs) is crucial for planning therapies and drugs co-administration. While, considerable efforts are spent in labor-intensive in vivo experiments and time-consuming clinical trials, understanding the pharmacological implications and adverse side-effects for some drug combinations is challenging. The majority of interactions remains undetected until therapies are prescribed to patients. We propose to […]

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Assessing the Impact of Customer Service Strategies on Loyalty

This project evaluates the impact of customer service on customer retention and churn. In the first phase, we build a statistical model to examine drivers of customer loyalty. In the second phase, we work with customer service to evaluate the effectiveness of new customer service strategies. This project will enable the company to better predict […]

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An investigation into the operation and operational benefits of a new converter technology for supercapacitor charging

Batteries are main storage systems in many applications such as electric vehicles, shipping, transportation, and utility backup power. With the recent breakthrough in the supercapacitor technology, it is predicted that supercapacitors will challenge the batteries in many of these applications since their power delivery is much faster than the batteries. The current chargers are designed […]

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Cell Preservation Techniques for Novel Probiotics

The purpose of this project is to develop encapsulation technologies that enable probiotic cells to maintain their dormancy and shelf stability within new food products. The project covers a discovery, validation, and scale-up phase. It addresses the use of various materials to produce capsules of probiotics and formulation of different products using them. The outcome […]

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Development and validation of a semi-automated in-situ soil sensor using Vis-NIR spectroscopy

Soil health and fertility has important long-term implications on farming practices. However, farmers and agronomists have difficulties to integrate soil assessment into farming decisions, mainly due to the tedious and long soil sampling process. This project aims at providing an innovative tool for agronomists and farmers to determine instantaneously and accurately several soil characteristics such […]

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Recovery of common loon populations on acid-stressed Ontario lakes

We will use a database of more than 30 years of scientific survey and citizen-science observations of common loon breeding on lakes in Ontario, as well as other parts of Canada, to determine whether loons now breed successfully on lakes where they were negatively affected by acid rain (and other human threats like development). Our […]

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Smelting process exhaust gas cooling: energy and economic analysis

Aluminum smelting is a highly energy consuming industrial process. The process generates a large amount of the heat that leaves through the exhaust gas. The exhaust gas must be scrubbed of its contaminants before release to the atmosphere at the gas treatment unit exit. The scrubbing process is more effective if this gas is cooled […]

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Optimizing co-digestion of industrial, commercial and institutional (IC&I) organic waste and developing an integrated nutrient recovery technique

Promoting the use of renewable energy such as biogas produced from organic waste is one the main alternatives to achieve more sustainable development strategies. Anaerobic Digestion (AD) is an efficient and proven technology, which can be employed to convert Organic Waste to Biogas as Renewable Natural Gas (RNG), and to reduce global methane emissions. The […]

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