The goal of this project is to help automate the process of scanning buildings with consumer digital cameras. Currently, fully automated scanning with a commercial camera produces inaccurate scans, while accurate scans require significant manual effort on each individual photograph (of which there are many) of the building to be scanned. We plan to use […]

L’objectif du projet est d’ameliorer I’alignement strategique des technologies de I’information (TI) au sein des organisations. Le projet se divise en trois objectifs principaux. Tout d’abord, Les problemes rencontres par les entreprises dans la conduite de projet d’alignement strategique seront recenses et documentes. Ensuite, en faisant usage d’un tableau de bord equilibre et en se […]

Ce projet vise à développer une plateforme web d’évaluation de l’activité physique auprès de personne souffrant de maladies chroniques (Diabète, Maladies Cardiaques, Haute Pression Artérielle…). Elle sera facile d’utilisation et destinée aux intervenants travaillant dans les cliniques médicales. Elle exploitera les données provenant d’un capteur de pas (podomètre) et d’un questionnaire pour calculer des indicateurs […]

We apply Artificial Intelligence (AI) on Sentiment Analysis for the Assessment of Financial Fitness (SAFF), which can help an individual to understand one’s latent feeling and reservation towards money saving, spending and planning. The SAFF framework can be applied to not only financial institutions, but also other sectors, e.g. healthcare, rehabilitation and education. Sentiment analysis […]

For different software packages created using different tools to interoperate, an intermediate layer called API bindings is needed. These bindings can be created by hand, but that takes time and needs to be updated whenever one of the packages changes. Since these bindings are often quite repetitive, it is reasonable to try and generate them […]

The goal of this project is to develop new machine learning methods and computational strategies to mega-analyze data from well-characterized datasets on chronic pain conditions to develop a genetic predictive tool. This tool will be implemented in an online interactive dashboard and used by the Quebec Pain Research Network (QPRN) community. This collaboration with Plotly […]

Our interactions with actors in the financial services industry, including our partner company, uncovered that they possess large amounts of data pertaining to investors and markets, but have yet to extract/learn information of significant value from that data such as expected actions by clients. The industry is conscious of this, but while they are making […]

Our interactions with actors in the financial services industry, including our partner company, uncovered that they possess large amounts of data pertaining to investors and markets, but have yet to extract/learn information of significant value from that data such as expected actions by clients. The industry is conscious of this, but while they are making […]

Working in partnership, Kitigan Zibi Anishinabeg (KZA) and the Carleton Immersive Media Studio (CIMS) propose the development of a novel, hybrid digital platform that brings together the progressive community development initiatives of KZA with CIMS’ established research record in the field of building information modelling (BIM). The research challenges involved in the development of a […]

In the context of ocean sustainability of west coast of Canada, some questions that need to be considered are: what is the significance of environmental indicators related to the impact on marine aquatic species? How can changes in environment be predicted by patterns of bioindicators, for example as a result of hypoxia, affecting farmed and […]

The goal of the project is to evaluate the effectiveness of video as medium of delivery and consumption of large quantities of digital information. The team will create an automated way to generate videos for properties and rental information so as to reduce costs on manual video creation and build user profiles based on smart […]

Recruitment of future employees is an essential activity in any organization, yet it is tedious and error-prone. Substantial effort is spent in rote tasks like finding candidates matching a particular job offer, contacting them, scheduling an interview and performing the actual interview, while the more interesting tasks like making a final decision on who to […]