Granify provides a service to stores on the internet that offers promotions, discounts, and information to customers who might need such information or incentives for the store to make a sale. Granify does this by using an artificial intelligence “brain” that guesses when the best opportunity to act to keep that store’s customers happy. We […]

Embroidery is a very popular art and a method of customization in the fashion industry. The method of embroidery has changed little since the advent of programmable sewing machines in the 20th century. Today, there is high demand for mass customization: consumers want their personalized embroidery patterns on their clothing. Technology already allows consumers to […]

Equity trading systems require the trader to constantly make decisions about buying or selling equities quickly in a highly stressful environment. The information is typically confusing, highly dynamic, and imprecise and often conflicts with other information. There is also a huge amount of information that could potentially be used in the decision making process. There […]

• Investigating geographical footprints of income shifting by multinational enterprises. PwC owns a large data set across all industries in Canada from its tax consulting engagements and annual standard tax filings from clients. This growing data source is an opportunity for accurate tax benchmarking, trend analysis and gaining deeper insights by transforming them into market […]

Content Delivery Networks (CDNs) represent the up-to-date standard to transfer data through on-growing Internet. They are designed to manage traffic streams to avoid network problems. Despite the fact that CDNs attempt to satisfy security requirements (authentication, data privacy and integrity), they face rising innovative threats, observable in the cyber-space. The main objective of this project […]

We propose to design and build an advanced visual analytics tool to support the analysis of large-scale e-commerce datasets. This data is generated by software platforms that collect information about the performance of e-commerce systems, consumer behaviour, and messages sent by retailers to consumers. Current e-commerce tools provide only simple overview statistics because of the […]

The main goal of this project is to develop a general set of computational solutions that could be used to prevent and manage emergency situations in transportation and water management networks by developing a monitoring and predictive model. This monitoring and predictive model will be based on topological data analysis (TDA) in a fashion similar […]

The proposed research project aims at evaluating and improving a technique in Statistical Natural Processing called Topic Modelling in order to apply it to real-life scenarios. Topic modeling is a techniques that allows the quick discovery of what the main topics of a document collection are, and thus automatically answers the question “What do these […]

Environmental modelling and monitoring software systems, which are very important in assessing the effects of climate change, require open data from a large number of sources including all levels of government, NGOs such as watershed management authorities, consultants and business. This data needs to be brought together into internal databases and to be kept up-to-date […]

Every year, people suffer the consequences natural disasters descend upon them. When these unfortunate events occur, emergency response teams are deployed and need to deal with a multitude of challenges. In this scenario, the communication infrastructure is a key element that can contribute to the success of the mission. Considering the case of a Drone-Aided […]

We are in the process of creating and growing a team of researchers expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are in the process of signing partnership agreements with retailers capable of collecting large-scale datasets of […]

Le projet comporte deux phases. Une première phase consiste à mettre à niveau l’algorithme actuel et à implanter une approche développée par Spaeth et Desmarais (2013). Cette approche combine les techniques dites collaboratives et par contenu. Elle améliore la performance par rapport aux résultats individuels de chaque technique. Une seconde phase consiste à élaborer un […]