Improved Deep Learning-based Sea-ice Monitoring System

This project will develop a robust software package that can be embedded with a camera system to provide an onboard sea-ice monitoring system. The software package consists of two main components: (1) Deep learning classification model, which involves a deep learning network trained to identify and classify sea-ice; (2) Lens artifact removal method, which is […]

Read More
Mapping High-Level Workflows to Low-Level Robotic Actions

We are developing a robotic platform and agent that is able to translate instructions (e.g. “bring me the newspaper”) into a series of low-level programs (moving between rooms, locating objects, interacting with objects) and executing these autonomously. Traditionally, in hierarchical reinforcement learning, tasks are executed sequentially, but we would like to focus on parallelization and […]

Read More
Research an intelligent framework for conversational AI software with the ability of financial advisors’ market insight

From simple transactions to complex investment strategies and wealth management, the customers want instant, intelligent answers to their questions, comprehensive financial knowledge education, and connection to a financial advisor on social media. To provide enhanced user experiences, we are researching an intelligent framework for conversational AI software with the ability to deliver financial advisors’ market […]

Read More
QUOREM: A data science platform for microbiology research

In the genomics era, microbiologists are collecting data at an accelerating pace. We have created a data science platform called QUOREM that significantly reduces the technical burden experienced by microbial ecologists associated with managing ever-increasing quantities of data. We believe that public and private research groups in Canada could benefit our platform, and the ability […]

Read More
Computer Algebra and High-Performance Computing Support for Model Predictive Control

In many industrial and engineering applications, process control plays a central role. Among the possible control strategies, model predictive control (MPC), also called receding horizon control (RHC) , stands out for its excellent ability to handle constraints. While MPC has been successfully applied to many industrial applications, further developments are limited when it becomes necessary […]

Read More
Valeur à vie de clients dans une entreprise de commerce électronique

Le projet consiste à prédire la loyauté et le montant qu’un(e) client(e) serait porté(e) à dépenser au cours de sa vie en relation avec une entreprise en commerce électronique. Pour ce faire, un modèle de prédiction sera développé afin de capturer les dépenses cumulatives d’un client ainsi que la durée attendue de la relation avec […]

Read More
Document Understanding

Management of digital content (documents, screenshots, webpages, etc.) spread across many apps and platforms is becoming an ever-pervasive problem for professionals and businesses alike. Most existing solutions are focused on the storage and distribution of digital content, and there is yet a gap in the market for a tool that addresses the content management problem […]

Read More
Development of a breeding database for the application of omics technologies in canola variety development

Next generation plant breeding requires bringing together many different types and sources of information about different plant varieties, including their genetic information together with how well they grow in different environments. The best ways to organize and integrate these sources of information within a plant breeding program is not well known. In this project, we […]

Read More
Web Page Contextual Sub-Components Recognition and Identification

The intent of this project is to build a web-page content subsection identification and analysis service. The subsections of a web-page are considered to be meaningful page components (articles, images. media blocks) that can be identified and uniquely fingerprinted. The intent of the project is fourfold: a) sub-component identification and fingerprinting b) sub-component content change […]

Read More
AI Empowered Transaction Interpretation for Ledger Reconciliation

Recent improvements in Cloud Accounting software have reduced the demand for data entry and challenging analysis. However, industry has not totally adopted these new resources and many still use traditional accounting and bookkeeping methods, which require a lot of manual efforts. Paperless system has seen improved accuracy and speed of delivery. With the advance of […]

Read More
Solar irradiance nowcasting using partially labeled data

The main duty of Hydro-Quebec is to respond efficiently to the energy demands of customers, in a safe way while remaining competitive in the markets as well. In a changing energy context, the production of solar photovoltaic energy represents a new challenge for Hydro-Quebec, which will have to integrate and to balance this intermittent resource […]

Read More