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, […]

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 […]

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 […]

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. […]

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 […]

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 […]

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) […]

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, […]

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 […]

There’s nothing quite as delightful as using a well-designed product, especially a piece of software. A field of research known as User eXperience (UX) tries to define measures that describe what a good design feels like. While conventional measures of UX for software work well (how long things take, whether or not you complete your […]

Free-space optical inter-satellite communication has become an area of key interest in global research and development towards satellite-based communication networks. The aim of this project is to research and develop a thermally stable, multi-watt, optical phased array for the purpose of coherent mechanism-free beam steering in inter-satellite communication systems. Development of this electro-optic chip is […]

To investigate how artificial intelligence techniques can be applied to improve productivity in computer-mediated work contexts, including email and messaging applications. We look at how to leverage features in data to make better guesses about when someone is productive, and create intelligent assistants to help people stay productive.