A hedge is an investment position intended to offset potential losses, or in our case to pay off potential liabilities. Interest rates play an important role in hedging strategies and risk management for variable annuities and other long-term products. Financial institutions have an urgent need for practical and affordable dynamic hedging strategies. We propose a […]

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 & […]

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 […]

Une bonne part du travail du stagiaire consistera à faire du travail d’échantillonnage sur le terrain pour prélever des échantillons de sol de la région du Témiscamingue et de la Haute Mauricie. Ces échantillons seront ensuite rapportés à l’université (UQTR), différentes analyses seront faites et l’ADN contenu dans le sol sera extrait. L’ADN correspondant aux […]

The Lil’wat Nation is working to foster community food security by restoring and activating Indigenous knowledge around traditional food systems. Our project examines ‘Ecosystem Services’ approaches as one way to support local food security while also protecting culturally-important environmental services. Led by a Lil’wat Food Committee, this project will engage community members in community planning […]

The purpose of this research is to validate the Functional Resilience Question-Air (FRQ; Kinley, 2016), an assessment tool based on scientific principles that use the latest research on resilience and neuroplasticity. Specifically, the Functional Resilience Question-Air identifies employees’ personal strengths, providing them with a global resilience score as well as a personalized development plan. Designed […]

In the summer of 2017, GM of Canada will be launching several employee engagement campaigns pertaining to sustainability goals. This project will determine how the control of different variables could lead to more or less employee engagement. These variables include the communication medium, the reward mechanism, and the depth of technical detail. By better understanding […]

Globally, companies now spend upwards of $200B per year on on-line content marketing (CM) materials and strategies, with this expending rapidly year-over-year at double-digit rates. These activities and efforts are changing how traditional corporate sales funnels function as now, in CM driven markets, clients and customers chose to arrive into a given company’s sales funnel […]

Deep learning is currently the dominant machine learning technique as a result of state of the art performance in vision (Russakovsky, et al., 2015), speech (Amodei, et al., 2015) and natural language processing (Vinyals et al., 2015). The improvement in performance of these models is attributed to the availability of large datasets for training the […]

Mobile Network Carriers are experiencing unprecedented data traffic loads which are straining their existing infrastructure. They are thus interested in exploring research areas which focus on reducing this traffic load. The malicious traffic generated by malware on smartphones is of particular interest. My research focuses on the generation of a software system that marks traffic […]

Smartphone use continues to grow rapidly. With this growth, come significantly more challenging security and privacy threats than preceding generations of mobile devices given that they exist as completely developed computing platforms running established operating systems. Smartphones, therefore, are largely subject to similar malware and attack vectors that have grown to be commonplace within standard […]

Mobile Network Carriers are experiencing data traffic at such high levels that congestion is becoming an increasing problem. High levels of malicious traffic generated from smartphones could potentially bring down the carriers network. As such, mobile carriers are exploring new methods to reduce this congestion. This research focuses on simplifying the problem of identifying which […]