The proposed research project leverages novel 2018-22 data, generated using the GEDI LiDAR sensor aboard the International Space Station. This data is used to advance the science of quantifying forest biomass and carbon storage, to create estimates that coincide with natural asset management decisions.

The proposed project will extend the AI4Buzz (http://ai4buzz.ca/) platform in three ways: social-network analysis, real-rime streaming data analysis, and statistical hypothesis exploration and testing. The platform has been developed in collaboration with CECN through a previous MITACS grant, entitled “A Toolkit For Analyzing Online Conversations for Solutions Based Policy Development” led by Dr. Lefsrud.

Le projet de recherche vise à mesurer l’impact économique des plateformes numériques d’écoute en ligne (PNEL) sur les revenus des artistes oeuvrant dans le secteur de la musique québécoise. Nous estimons qu’il est nécessaire d’étudier les impacts de la transformation numérique d’un point de vue local pour vérifier si les dynamiques mondiales s’y reproduisent ou […]

InvestorCOM is well known in Canada and are capitalizing on the opportunity to expand into the US market. My project will assist InvestorCOM in expanding their compliance solutions into the US market by creating market awareness of InvestorCOM through social media channels, analyzing data to help inform and adjust the marketing strategy, creating marketing materials […]

Le projet s’intéresse à l’adaptation de certaines technologies et pratiques de gestion issues de l’Industrie 4.0 avec pour objectif de rendre leur implantation et utilisation possible et profitable pour les PME manufacturières. Plus particulièrement, cinq sous-projets seront étudiés : 1) la gestion intégrée intelligente des opérations, 2) le magasin automatisé, 3) le jumeau numérique, 4) […]

The goal of the project is to assess the viability of current synthetic data generation systems. If the generated synthetic data is accurate enough without providing sensitive details it can be used to train machine learning models without needing to share sensitive information. The particular application of this project is to computer logs which can […]

L’acceptabilité sociale des projets est un enjeu stratégique pour les organisations. C’est notamment le cas de Bell Canada qui a récemment investi environ 17 milliards de dollars pour le déploiement du réseau 5G à travers le territoire national. C’est dans cette perspective que cette recherche partenariale avec Bell Canada vise à mieux comprendre les dynamiques […]

In this project, we want to study the automated verification and deployment of a Command, Control, Communications, Computers (C4) infrastructure to improve communications and logistics in healthcare facilities treating COVID-19 patients. The assistance of such a flexible ICT infrastructure can play a key role in successfully implementing the fifths “S” within medical personnel operations. However, […]

Digital apps represent an important avenue to promote health across individuals with chronic disease. There can be multiple data inputs about a user that come into a health app. During the course of this Mitacs project, the student will develop and evaluate a comprehensive database that is able to organize data from various health data […]

Our project will determine needs and barriers to use of a water data collaboration platform use by diverse stakeholders, which include watershed groups (Indigenous communities, sub-basin organizations, science classes, citizen science coalitions), industry stakeholders (irrigation districts, reservoir operators) and potentially government agencies charged with creating and implementing water management policy. To understand barriers to platform […]

Tech companies generate Petabytes of log data per day, with 50% – 100% year-over-year growth. Conventional log analytics systems no longer scale to such large data sizes. In addition, managing such large data is extremely costly at every level, from storage cost, to network bandwidth, and to the cost of compute resources. This research proposes […]

As the company is actively looking for scaling opportunities, the business data quality assessment & monitoring project aims to unlock the unrealized value of data from internal systems such as CRM and Inventory Proprietary Inventory System to discover high-impact insights for internal stakeholders. The data project is looking to align data extracted from such systems […]