Developing an innovation commons for coupling artificial intelligence Startups with Multinational companies in Montreal

This research aims to develop a set of innovation commons that leads to a successful shared innovation between AI companies, mainly startups, and the potential users of the technology who are performing in other sectors. After that we will launch a pilot project collaborating with Centech (a high-tech incubator located in Montreal), to implement the designated innovation commons by putting AI startups and companies with their potential customers in a shared place from the initial stages of innovation and then evaluate the performance of the designed governance model of innovation commons.

Modeling Commodity Marketplace for Proof of Work Networks

Recent market instability, volatility, and Bitcion (BTC) halving event combined to create significant challenges for this sector, resulting in many hashing power producers being forced into bankruptcy. The sector has grown very rapidly and has been plagued with boom-bust cycles that have been difficult for producers to weather due to the lack of hedging tools/financial instruments at their disposal. Corporation offers clearinghouse-type services providing hashing power producers the ability to sell their risk to speculators.

Anomaly Detection in Aviation Safety Data

The aviation safety is the vital component in global air transport system. As the accidents are the results of complex interactions of various risks and contributing factors, the key to avoid accidents will be proactively identifying such risks and contributing factors and mitigating them beforehand. To support the risk identification, IATA, International Air Transport Association has been collected extensive operation safety data, including accident reports, incident reports and flight data.

Cybersécurité et expérience utilisateur : exploration du rôle de l’interface dans la réduction de la cybercriminalité en contexte bancaire

De plus en plus de personnes utilisent les services bancaires en ligne au quotidien et s’exposent ainsi à des risques divers tels que le vol d’identifiants. De nombreux outils technologiques peuvent être mis en place pour contrer ces activités criminelles, mais leur utilisation et adoption dépend des comportements des utilisateurs. Malgré une compréhension des enjeux sécuritaires, de nombreux utilisateurs sont toujours victimes de ce type de vol du fait de leur utilisation quasi-automatique des outils en ligne qui entraîne une perte de vigilance face aux informations présentées.

Modeling of combined heat and power generation in Canada

Canada ambitions to achieve a deep decarbonization of its economy by 2050, with a reduction of its greenhouse gas (GHG) emissions up to 90% relative to their 2005 levels. Such a transition from the current situation will have important impacts in particular on its energy sector.

Leveraging Deep Learning in Asset Pricing in a Multi-Factor Modelling Framework

The purpose of this project is leverage Machine Learning technology to develop and test effective trading strategies in order to properly hedge an investment strategy. Hedging is an integral part of the investment process and allows portfolio managers to protect their positions against any adverse change in asset prices.

Integrated Logistics Network Design at Hydro-Québec

This partnership project with Hydro-Québec focuses on optimizing the integrated logistics network planning. The Hydro-Québec existing network has a building stock of average 37 years old, and is mainly based on the geographic and demographic needs of the 1980s. This project will adapt the network to the modern needs and prepare it for the future. The problem we consider includes the location of service points, determination of electric vehicle sizes and routes, demand forecasting, and inventory management.

Du pain au lieu des os pendant la pandémie

Partout au Canada, des entreprises et des organismes qui doivent faire face aux répercussions de la COVID‑19 bénéficient du soutien d’une ressource inattendue : les meilleurs étudiants en affaires de la région.

Spatio-Temporal Models for the Analysis of GPS Traces: Application to Road Safety

The goal of this research is to leverage the telematics data collected in the context of the usage-based insurance program at Intact for road safety improvement. Specifically, we aim to tackle issues on the identification of risky driver behaviors through the characterization of unsafe events and to identify sites on the road network with high probability of collision.

Les mécanismes de structuration des idées au sein de Hydro-Québec :Accompagner le développement d’un processus de gestion des idées

L’Institut de recherche d’Hydro-Québec (IREQ) a lancé depuis plusieurs années des actions dans le but d’assurer une organisation de la recherche performante et innovante, capable de répondre aux mutations à venir dans le secteur de l’énergie, et créatrice de valeur pour Hydro-Québec (HQ). Dans ce cadre, les équipes de l’IREQ ont développé de nombreuses idées (i) afin de rendre plus efficace et plus efficient le fonctionnement de l’activité de HQ et (ii) afin de proposer une vision ambitieuse dans des domaines d’activités nouveaux ou connexes à ceux de HQ.