Obtaining reliable information is crucial for humanitarian workers who aim to respond to a catastrophic situation. In this context, there are many possible sources of information (e.g., local population; journalists; authorities), but only a limited time to gather data, analyze them and respond to the situation. Since 2010, a new way of gathering data has […]

This project aims to develop a numerical tool for predicting accurately resonance frequencies of high-heads hydraulic turbines. Both the presence of water and the rotation of the disk-like structure induce shifts in these frequencies compared to a standing disk in air, respectively added mass and mode split. The project is articulated around the following steps: […]

Industry 4.0 is the digitization of a company’s physical assets and the company’s integration into digital ecosystems with its value chain partners, from suppliers to customers. It uses smart technology and the use of real-time data to increase flexibility, customization, efficiency and productivity, and to reduce time, costs and innovation cycles. This project will focus […]

I am conducting a multi-species fish population monitoring project in Quebec’s largest lake (Mistassini), to facilitate community-based fisheries management with the Cree Nation of Mistissini. Mistassini is home to recreational fisheries for walleye, lake trout, brook trout and pike. With a 31% increase in the regional human population since 2001 and increasing fishing pressure, effective […]

Wood and wood-related substances have been among the most important materials in human history. Today, various forms of wood are being used in numerous industries, and therefore a significant market exists for improved and functionalized wood-based products. In this context, we’re proposing an atmospheric-pressure plasma-based approach to treatment of wood-based surfaces using a roll-to-roll cold […]

The purpose of this project is to position Quebec in the global production network and to compute Quebec’s Product Complexity Index (PCI) and Economic Complexity Index (ECI) using Hidalgo and Hausmann (2009) methodology. Based on the rankings of PCI and ECI, we can have a clear understanding of the economic structure of different countries and […]

With the trend of increasing technological complexity, software content and mechatronic implementation, there are increasing risks from systematic failures and random hardware failures. ISO 26262 („ Road vehicles – Functional safety “) is the most important standard concerning functional safety in the automotive industry. The standard was published at the end of 2011. Even small […]

This project aims at applying the technique of Model Predictive Control (MPC) to control the thermostatic loads in HVAC systems in the context of smart buildings. The main objective of this project is to verify the capability of MPC-base control schemes developed in academic research projects with a real system operated by Fusion in terms […]

Research and develop a machine learning application to detect fraud in health insurance claims. The project will seek to understand how machine learning can contribute significantly to health insurance fraud detection, and develop a methodology to yield the best results using available data and current machine learning best practices. The output of the project will […]

This project proposes a novel planning algorithm based on merging a sampling-based global planner with an inverse kinematics-based controller, defined local planner. The idea is to run off-line the global planner before the motion starts. Then, during the motion, the local planner is executed and simultaneously at lower frequency the global one is performed “to […]

Levulinic Acid (LA) is among the top twelve value-added platform chemicals, and is an abundant and versatile building block for numerous compounds aimed at consumer applications. LA is produced in insufficient quantities to meet market demand and by using fossil fuels which prevents LA production to meet environmental standards. We propose a novel, efficient, and […]

Ciena would like to drastically improve its ability to track, analyse and forecast the cost of products. Building on experience with the current tool suite and business practices, Ciena aims to develop a next-generation product cost analytics solution that will run on its existing IT infrastructure and allow capture, analysis and modeling of historical as […]