Pour répondre à l’imprévisibilité des environnements — au désordre ambiant — les organisations tentent d’ajouter de la robustesse et de la résilience par le contrôle. Ce faisant, elles sclérosent leurs structures et se coupent des humains. L’attention se porte alors sur la performance interne et sur la vélocité; sans égard à la qualité ou à […]

The intent of this project is to build a web-page content subsection identification and analysis service. The subsections of a web-page are considered to be meaningful page components (articles, images. media blocks) that can be identified and uniquely fingerprinted. The intent of the project is fourfold: a) sub-component identification and fingerprinting b) sub-component content change […]

This research project informs an essential part of my broader doctoral research which investigates the aesthetic and rhetoric practices developed by today’s far-right populist movements for their propaganda and communication on social media. Working along with Professor Vijay Mago and DaTALab researchers I will generate, collect, and analyse a wide range of new and original […]

A common assumption about gentrification is that it displaces poor and minority residents, their local businesses, and even neighbourhood crime. However, questions remain about displacement and the social control mechanisms of gentrification–especially on non-violent crimes. Drawing on this work, we will explore what happens to illicit markets, such as sex work and drug sales, and […]

In the West, the arts have played a distinctive role in enabling the fiction of our current perceptions of ecology; one where human mastery of the planet has been mythologised through the production of images. These artistic myths at one level separate us from nature, while also paradoxically, seeking to establish deep, meaningful connections between […]

In this project, we would like to study the problem of object manipulation in a real-world scenario. We assume three major settings in the environment – the object is non-rigid, oniy offline dataset is available and the input is high-dimensional images which are hard to be handled by classical control models. Recent successes in deep […]

This research project will investigate local economic impacts resulting from municipal government procurement through locally-owned suppliers in comparison to procurement through national or multinational suppliers with local operations. The objective of the project is to determine a BC analysis to quanitify the economic impact of local purchasing decisions. Using the LM3 method, this research will […]

En se positionnant dans un contexte d’économie numérique, nous nous attachons au travers de ce projet de recherche à étudier le processus d’internationalisation des entreprises créées et dirigées par des femmes. En effet, nous nous apprêtons à identifier les spécificités de l’entrepreneuriat international féminin dans le domaine du numérique et de la digitalisation, à s’interroger […]

That the COVID-19 pandemic has had a profound impact on housing is well recognized, however the impacts on students’ housing situations in particular is not well understood. These impacts may differ from those affecting other populations due to students’ housing and employment precarity, and as their housing needs have shifted as a result of the […]

Macros can greatly enhance the capabilities and convenience provided in documents. They also invite adversaries to include malicious code in lure documents, often used as initial access into a user’s environment. This project will extract and analyze macros and determine their indent and potential for malicious code execution. Reducing time to response through malicious code […]

Le secteur de production de légumes biologiques en serre de plein sol est en essor au Québec. Afin de répondre à cette demande et si l’on veut accroître et la productivité de ces cultures et augmenter les superficies en mesure de produire 10-12 mois par année, il est impératif de combler les lacunes sérieuses en […]

This research aims to generate and optimize optimal tool-path(process path of robot) by learning data on kinematics and dynamics properties required for the machining process using multi-axis robots with Artificial Intelligence(AI). Based on the end-effector of the robot, a new approach is proposed to optimize tool path in drilling or milling processes and to develop […]