The overall objective of this project is to develop a medical device that stimulates the vagus nerve in order to modulate the heart in a pre-determined fashion (e.g., strategically speeding it up or slowing it down) without also triggering side effects in other body systems (such as respiration). The interns will be working in partnership […]

This continued project is aimed at using state-of-the-art machine learning, mathematical and AI techniques to create profitable trading strategies in derivative markets. Using our existing framework, we now seek to apply modern algorithms/models with the explicit purpose of implementing fully independent algorithmic trading strategies.

Architected materials are those which have a designed microscopic structure or “microstructure”. They of exhibit material properties which are not attainable by conventional materials. One important field of application for these materials is bone biomechanics, in which the search for suitable bone biosubstitutes is of high scientific and clinical importance. For example, architected materials are […]

The upstream oil and gas sector is the second largest source of anthropogenic methane emissions within Canada. As new policies and regulations are being introduced to reduce methane emissions, Canada’s oil and gas producers and provincial regulators need to be able to quantify the cost-effectiveness of various strategies to reduce emissions and identify the best […]

For an average investor, prior to making an investment, they would conduct the following steps: ideation, comprehension, validation, and execution from different platforms – each servicing a specific need and is overcomplicated for the average user. On top of that, it would take months before someone found their suite of tools, platforms, and brokerages they’d […]

Innovative Investment Education Investing has never been easier, but the retail investment journey is broken. This is even more difficult to answer because investors are overwhelmed with information, don’t trust most online sources, and it feels like it is a solo endeavor. An intuitive platform that supports retail investors through their entire investment journey, from […]

Investing has never been easier, but the majority of individuals still are reluctant to invest and those that do still face a fundamental problem. “What should I invest in?” It’s because the investment journey for a retail investor is broken and Utradea is proven to solve it. For an average investor, prior to making an […]

Le vieillissement des systèmes de production hydroélectrique nécessite la réfection des groupes turboalternateurs dans les centrales. Considérant que l’arrêt de turbines pour des périodes de maintenance impacte directement la production hydroélectrique, il est nécessaire de considérer ces maintenances dans les plans de production. Actuellement, les modèles d’optimisation de la production hydroélectrique et les modèles de […]

Le projet de recherche s’inscrit dans le contexte précis du besoin d’Hydro-Québec de mieux estimer la probabilité de manifestation de vents de forces dites extrêmes et potentiellement dommageables pour le réseau d’infrastructures électriques. Il aura pour objectif de développer des modèles statistiques permettant de corriger les biais dans les prévisions de vents afin de mieux […]

Thickness and surface roughness are the two main veneer quality criteria affecting material recovery, plywood glue bond quality, and glue consumption. At present, on-line green veneer thickness and surface roughness are generally not measured, which causes difficulty in assessing overall veneer quality for a better control of log conditioning and veneer peeling process. In this […]

Cryptocurrencies are a new asset class that are emerging in importance and adoption in global markets. Public blockchains such as Bitcoin and Ethereum offer access to an unprecedented amount of financial and technical data. With the increasing amount of blockchain data, it is important that investors and policy makers can access standardized methods of financial […]

Business industries are either experiencing or expected to face the challenge of big data. Big data brings trouble to traditional data mining algorithms. Building a machine learning credit scoring algorithm under the big data scenario, offers ATB financial the framework which improve the efficiency and the running speed compared with traditional data mining algorithms, especially […]