Feasibility of Micro-scale Wind Turbines in Ontario.

My proposed research will investigate the feasibility of small scale wind turbines in Ontario in adapting to a changing climate via alternative energy strategies. I shall also be working with the Toronto and Region Conservation Authority to develop a standardized testing of these small scale wind turbines which will be unique in Ontario. The TRCA […]

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Development of wine smoke-taint analysis strategies to provide more accurate risk-assessments and guide in-winery and in-vineyard amelioration methods

The proposed research project will focus on understanding the in-vineyard and in-winery mechanisms responsible for the phenomenon of smoke-taint in wines—that is, the tendency of grapes exposed to forest fire smoke to produce smoke-flavoured wines in the absence of any perceptible aroma in the grapes. Of interest here is discerning exactly how the flavoured compounds […]

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Improving Combustion Properties of Energy Crops and Agricultural Residues through the Removal of Undesirable Nutrients

CENNATEK Bioanalytical Services Inc. is leading a R&D project with the goal of producing an improved biomass fuel for combustion through a pre-treatment process involving the extraction of undesired nutrients. The presence of these nutrients often contributes to adverse impacts on reactors and other equipment, with fouling, slagging, and corrosion the most problematic of these […]

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DC Interconnection Hubs

Conventional power systems are based upon ac voltages and currents. Connecting these systems is a simple matter and is done using transformers. Modern power systems wherein renewable energy sources are increasingly deployed often include dc voltages and currents. Connecting these systems is more challenging as conventional transformers will not be applicable. The proposed research is […]

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Developing an Intelligent Conversational Agent Architecture related to the Banking Domain

This research project aims at creating a robust, efficient and reliable conversational agent for the banking domain that will offer a high level of performance in both key areas of conversational agent architecture: Natural Language Understanding and Response Generation. Natural language understanding approaches, retrieval-based models, as well as deep learning will be used to develop […]

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Exploration des technologies innovantes via le traitement du langage naturel et l’apprentissage machine

L’amélioration est processus (quelle que soit leur nature) est un souci constant des entreprises dans un domaine compétitif comme c’est le cas du domaine bancaire et financier. En 2018, cette amélioration est indissociable de l’intégration de l’analytique d’affaire. En exploitant à l’aide des méthodes appropriées les données de l’entreprise, des gains substantiels sont à escompter. […]

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Development of an RNAi Approach to Control Wireworms on PEI

Wireworm (click beetle) has becoming a devastating pest for the potato industry in Prince Edward Island (PEI) and many places in the country and around the world. It is a soil born insect that can penetrate a large number of potato tubers, degrading their quality for processing. The problem is more difficult to control after […]

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Object Recognition for Large-Scale and Weakly-Labelled Medical Image Data

The main objective of this research project is to investigate, develop and evaluate state-of-the-art image processing and machine learning algorithms, which are suitable for accurate modeling and recognition from large-scale medical image datasets that are weakly labeled. In particular, we will focus on the learning of recognition models in medical image computing applications that are […]

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Aboveground Storage Tank(AST) testing using statistical approach

Based on the original Statistical Inventory Reconciliation(SIR) Test Method (Quantitative), K-folds cross validation is used to increase P(D) and decrease P(FA) by adjusting K, which are related to bias and standard deviation. There is a trade-off between bias and variance, with very flexible models (overfit) having low bias and high variance, and relatively rigid models(underfit) […]

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Nanostructured cathode material for high performance all-solid-state sodium battery

Lithium batteries are almost universally integrated in modern electronics applications due to their high efficiency and scalability. However, the liquid lithium-ion electrolyte utilized in these batteries has a multitude of safety concerns including flammability, toxicity, and the ability to explode if short-circuited. These issues lead to problems while operating in hazardous environments, more stringent transportation […]

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