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 […]

Réaliser une animation réaliste d’un visage dans l’industrie du jeu vidéo est un défi technique. Il est extrêmement complexe, y compris pour les meilleurs animateurs 3D, de produire une animation faciale réaliste. Une manière de résoudre ce problème est de le voir d’un autre angle : pourquoi simuler une chose que l’on peut capturer ? […]

Small teams of mobile robots provide nowadays the ability to assist wireless sensor networks in many threatening scenarios that unexpectedly arise during their operational lifetime. The perceived risk or vulnerability that the network is exposed to triggers an immediate, corporate action from the robotic agents (actuators). We focus on a sort of robots which are […]

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 […]

Urban design and development is an iterative process that involves community engagement and multiple feedback cycles. Advances in internet technologies and web mapping technologies has made it possible to display design plans on websites and to collect feedback on specific locations or aspects of the provided design. Using web mapping applications to feedback from the […]

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since visual content (e.g. images, videos) is one of the most important types of data shared by social networking apps, an important problem for the company is to identify images/videos that are offensive or inappropriate. For example, certain images/videos […]