Assessing the Effect of Emotions on Online Word of Mouth and Retention

This project aims two answer two research questions. First, we respond to nearly 15 years of call for research to understand how word of mouth communication is used in B2B settings. Specifically, we conduct a qualitative research to identify what drives B2B customers to get engaged in online word of mouth communication. Second, we examine […]

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Evaluation of Clustering Methods on Game Play Data

The goal of the project is to evaluate several clustering algorithms on players’ styles data in the context of Video Lottery Terminals (VLTs). The previous work has shown that by segmenting anonymous player data by sessions, and then clustering the sessions using the simple k-means algorithm, we can get a descriptive statistic on player styles, […]

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Data-Driven and Anthropometric Local Editing of Facial Polygon Meshes

Editing the faces of 3D avatars is a difficult and important task. We will develop an approach that enables users to perform local edits of faces through means of adjusting the values of anthropometric measurements. Such measurements are derived from well-established research about the shape and proportion of faces. Based on a data set of […]

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Statistical machine learning for urban transportation system

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

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Enquête sur l’évolution des représentations sociales de l’intelligence artificielle en contexte d’intégration d’outils de l’intelligence artificielle

Se représenter ce qu’est l’intelligence artificielle (IA) pose trois problèmes : 1- le mot contient « intelligence » et ce terme est connoté, flou, et toujours matière à débat. 2- l’IA sert à prendre des décisions, ce n’est pas une fonction qu’on laisse à n’importe qui dans nos états de droits et nos démocraties libérales. […]

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Explaining security compliance failures in Network Function Virtualization environment through root cause analysis

The objective of this project is to elaborate an automated and scalable approach to assist security analyst in investigating and identifying underlying key cause (or causes) behind security or compliance failures of network services in NFV-based environment. Finding the root cause allows appropriate and achievable actions to be taken to recover or/and prevent the recurrence […]

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The digital e-commerce logistics and supply chains management using block chain technologies

E-commerce has become one major marketing channel for many firms in Canada and world-wide and has increased dramatically in recent years. As firms migrate from traditional physical retail channels to combined physical and virtual channels, the shift brings new significant challenges to supply chain and logistics management. Blockchain is able to maintain authoritative records in […]

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Identifying Questions for Game-Based Learning through Deep Learning

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

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Industrial Safety Management using Control Theory and Machine Learning

Optimizing plant processes is of prime importance now more than ever. With stricter infrastructures being placed on safety, environmental effect, and corporate social responsibility, more complex systems that optimize these factors are needed. These complex systems with advanced algorithms are intended to further streamline the existing process while mitigating issues leading to a safer workplace, […]

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Integration of Machine Learning and AI Based Optimization from IoT Datastreams and Business Information Systems

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. Recently there has been much interest in application of such technologies to improve agricultural practices. The sensors that are installed in the field transmit real time data regarding numerous environmental variables […]

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