The intern will work on applying new advances from the field of Machine Learning to models which make predictions about time-series data. The models have the desirable property modeling the distribution of outcomes in a way that we can sample from, allowing us to account for uncertainty in the model’s predictions. By making more accurate […]

Curatorial studies is a well-established field of research in the visual arts. However, curating and programming are probably among the most understudied areas in film and media scholarship. While I participate in defining the official selection of Latin American movies for the 2017 edition of the Toronto International Film Festival, I will gather tools to […]

À la ville de Québec existe un système (SIGMA II) qui regroupe tous les plans et les cartes anciens qui couvrent le territoire de la ville. Le positionnement précis de ces derniers permet de voir l’évolution des divers quartiers de la ville et de certains terrains en particulier. Actuellement, SIGMA n’est pas accessible aux personnes […]

Dexterity Consulting is a company that aims to maximize the impact of donors’ donations to charities. Dexterity Consulting offers a service to match donors to charities, based on the alignment of the donors’ preferences and the charities goals. This matching process is currently being done manually by an expert in the field, working at Dexterity […]

This project concentrates on the scenario optimization method which does not need to make any assumption for the underlying asset distribution and directly incorporate such uncertainty into the objective or constraint functions through stochastic programming. The scenario optimization is performed under different parameters and constraints while Markowitz and Black-Litterman model are taken as the benchmarks […]

Les rapports de sites contaminés contiennent une multitude d’informations pertinentes pour les experts en environnement. Ces rapports décrivent les caractéristiques d’un site contaminé et les technologies utilisées pour réhabiliter ce site. L’extraction des informations pertinentes de ces rapports volumineux exige des ressources qualifiées importantes. Ces informations permettent notamment aux experts d’appliquer cette connaissance à de […]

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast […]

La majorité de la population des pays développés vivra en ville, ce qui, malgré les possibilités que la vie urbaine entraine, provoquera plusieurs problèmes reliés au trafic, au bruit et à la criminalité. Le présent programme de recherche a pour objectif de développer de nouvelles expertises et technologies visant à réconcilier la croissance rapide de […]

Wedge Networks is a leading cybersecurity solution provider in Canada. In this project, we aim to investigate the application of statistical machine learning and deep learning to cyber threat detection, aiming to detect both network intrusions and malware binaries transmitted in the network. Based on the big data collected from Wedge’s system logs and anonymized […]

Upon completion of the project the interns work will allow the partner organization to better understand how inventory management is handled in small businesses. The project will also help understand what inventory levels should be for small businesses based on predictive analytics. With this knowledge the partner organization can better understand how it can help […]

This research initiative aims to develop more accurate mathematical models of human energy metabolism. The company FitMyLife Health Analytics aims to use the models to help its customers establish behaviour patterns to achieve health goals, such as increased fitness, increased health and weight loss. The models ensure that customers’ decisions are rooted in an accurate […]

The aim of the project is to predict future customer demand for repeat-buying items based on available customer purchase records. However, the purchase history for a single customer may not be sufficient to base predictions on. Also, some purchase records might be missing due to sales events at competitors’ locations. Thus, treating each customer as […]