Sentiment Analysis with Parsed Representation of News Articles

Information published by financial news agencies is used as one of the inputs to make investment decisions. News articles from multiple sources can be used to gauge market sentiment towards an industry or a specific company. Deep learning techniques have been successful in producing state of the art results on various benchmark datasets (Dai & […]

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Advanced Manufacturing of Graphene Oxide Membranes for Acoustic Drivers

The Graphene Audio group at TandemLaunch is working to revolutionize loudspeaker design through the use of graphene composite materials (Graphene-CMs) in loudspeaker membranes. Graphene is a newly discovered material with exceptional mechanical and electrical characteristics. Its low mass and high strength make it ideal for use in acoustic transducers offering an immediate benefit over existing […]

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Learning representations through stochastic gradient descent by minimizing the cross-validation error

Representations are fundamental to Artificial Intelligence. Typically, the performance of a learning system depends on its data representation. These data representations are usually hand-engineered based on some prior domain knowledge regarding the task. More recently, the trend is to learn these representations through deep neural networks as these can produce significant performance improvements over hand-engineered […]

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Analyse biométrique de la tolérance au risque : étude expérimentale sur des professionnels en finance

Les banques reposent généralement sur de courts questionnaires afin de déterminer quel est le profil d’un investisseur et entre autres, sa tolérance au risque. Nous nous posons donc la question de savoir s’il existe des différences entre les réponses données à de tels questionnaires, simples ou plus complexes en format écrit, et la véritable réaction […]

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Measuring Social Progress on Urban Aboriginal People: Construction and Application of a Composite Index of Quality of Life

As Aboriginal people increasingly migrate to urban areas, it has become imperative to promote their socioeconomic engagement in the destinations. While there has been increasing research focuses on Aboriginal peoples’ quality of life (QoL) few studies explicitly measure Aboriginal people’s QoL based on a shared understanding of what QoL really means to Indigenous peoples and […]

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Measuring Social Progress on Urban Aboriginal People: Construction and Application of a Composite Index of Quality of Life – Year Two

As Aboriginal people increasingly migrate to urban areas, it has become imperative to promote their socioeconomic engagement in the destinations. While there has been increasing research focuses on Aboriginal peoples’ quality of life (QoL) few studies explicitly measure Aboriginal people’s QoL based on a shared understanding of what QoL really means to Indigenous peoples and […]

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Performance Analysis of a Network of Dual-Lane Roundabouts

Modern roundabouts have become a subject of great interest and attention over the last few years. Compared to regular signalized intersections, roundabouts have the potential to reduce vehicular delay & emissions and increase safety. The objectives of this study is to conduct an in depth analysis to examine the short and long term benefits of […]

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Default Rates and Recovery rate on Commercial loans in the Alberta Business Environment

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

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Variable selection for uplift modeling

Insurance companies heavily fund marketing campaigns such as, for instance, customer retention or cross-sell initiatives. Uplift modeling aims at predicting the causal effect of an action such as medical treatment or a marketing campaign on a particular individual by taking into consideration the response to an action. Typically, the result of an uplift model is […]

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Implementing Factor Models in Investment Management

The internship will consist of studying, building, implementing and testing so called factors that are used to characterize the equities, commodities and currencies that the company invests in. These factors can be thought of as characteristics relating a group of securities that is important in explaining their returns and risk. My task will be first […]

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Configuration Design, Modeling, and Simulation of the Smart Hybrid DC-AC Microgrid

The smart hybrid DC-AC microgrid is an emerging technology with remarkable potential benefits such as (i) facilitating integration of distributed energy resources and renewables, (ii) improving reliability and quality of the electrical energy supplied to the consumers, (iii) increasing the efficiency of power generation, transmission, and distribution systems, and (iv) facilitating implementation of Electric Vehicle […]

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