Processes are important concepts in modern society since they control and standardize the interactions between businesses, consumers, governments and other organizations. However, the rise of knowledge-based industries such as financial services, healthcare, advanced manufacturing and software development have produced unstructured and knowledge-dependent processes. These Knowledge Intensive Processes (KIPs) KIPs range from partially structured to unstructured […]

The proposed production optimizer uses production (rate, water/oil ratio, pressure) data, in either isolation or with geological data, and artificial intelligence to determine limiting factors in wells and fields. More specifically, the proposed production optimizer determines Original Oil in Place (OOIP), average permeability, permeability distribution, and relative permeability for wells and, by extension, reservoirs. This […]

Cryptocurrency markets exhibit highly chaotic behaviour, differing substantially from securities. This research project looks at the cryptocurrency markets for data–aiming to answer if it possible to create mathematical models which track the overall behaviour of the Cryptocurrency Market, while minimizing risks. Through this research we expect to reconcile the theory developed above with the real […]

Glioblastoma (GBM) is the most common primary adult brain tumor. Even with surgery, standard chemotherapy, and radiation, tumor recurrence and patient relapse are inevitable with a median survival rate of

Le contrôle de la croissance des arbres est une activité très importante pour Hydro-Québec puisqu’il assure la qualité et l’efficience de son réseau de distribution d’électricité. Ce projet de recherche vise à (1) améliorer nos connaissances sur les mécanismes de base régissant la croissance des arbres, (2) développer de nouvelles techniques et approches pour émonder […]

Cyanotoxins, produced by blooms of cyanobacteria, have been a cause of concern, as they have the potential to compromise animal and human health. Because of increased nutrient loading and climate change, occurrence of cyanobacterial harmful algal blooms and their toxins are increasing globally. The presence of these compounds in the Great Lakes and other water […]

This research is based on the recognition that heat pump technology has the potential to reduce greenhouse gas (GHG) emissions and reliance on fossil fuels, while providing space heating, space cooling and domestic hot water. Both internationally and in the Ontario context, a lack of industry knowledge and capacity has been noted to be a […]

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. In addition, the transmission errors and malfunction of devices also necessitates checking the reliability/veracity of incoming data. The volume, velocity, and veracity are three Vs that are commonly describe in the […]

Dans un contexte où le développement durable prend de plus en plus d’importance, il est primordial pour les gouvernements de valoriser les produits à faible empreinte carbone, tout en s’assurant de respecter les règles du droit commercial international, sous peine de se faire poursuivre par d’autres États, notamment à l’Organisation mondiale du Commerce. Cette recherche […]

Le développement économique de plusieurs régions du Québec et du Canada dépend à la fois d’une utilisation rationnelle du matériau bois et de la valorisation de toute sorte de matières bioressourcées. Le projet de recherche propose d’explorer différentes technologies de caractérisation et de valorisation de la fibre du bois et de la biomasse contaminée. Plus […]

An artificial intelligence tool that is capable of generating natural-sounding speech can be embedded into many valuable services such as conversational agents for the disabled and conversational assistants. Such tool, when equipped with the capability of mimicking individuals’ vocal characteristics, will improve personalization of these services. In this project the intern will seek to develop […]

In a few words, this is a fintech data analysis project. The idea is, given temporal data of financial nature, to build algorithms that predict its evolution over time. For instance, the data could be certain assets prices, or customer buying history. The objective would be to respectively predict this asset price in a close […]