Inspired by the success of deep learning approaches in human biomedical applications, applying deep learning in veterinary, specifically equine, diagnostic imaging is attracting increasing interest. The objective of this research project is to achieve automatic deep-learning based equine image analysis and assessment, including 1) automatic assessment of upper respiratory tract of racehorses from endoscopy videos; […]

The proposed research project assesses how collaborative robotics can be used in the construction industry. Humans may now engage and collaborate with robotics (Cobots), which are gradually being employed in the construction sector; therefore it is important to thoroughly understand the functions of Cobots and how they will assist in the near future. The purpose […]

In cloud computing, managing the vast amounts of data created by construction projects is challenging. The cloud cannot support peak data loads, and the owner has no control over the security of the data that is being stored. This creates a need to assess cloud data management in the construction industry as construction companies become […]

The intern’s capstone project will be to develop an Online Remodeling and Design Platform for Homeowners and Contractors. The goal is that these homeowners will gain the knowledge required to support their remodelling endeavors, and encourage local contractors to focus on building an online presence to market aspects of their business and services. This platform […]

Falls are a significant public health concern, particularly among older adults, who are more vulnerable to injury and death resulting from falls. According to the World Health Organization (WHO), falls are the second leading cause of accidental or unintentional injury deaths worldwide. With the global population aging rapidly, there is an urgent need to develop […]

The proposed research project aims to explore a cost-effective and eco-friendly method for recycling lithium-ion batteries (LIBs) used in electric devices and electric vehicles. Lithium, cobalt, nickel, and copper, which are considered critical metals, are present in LIBs, and they are essential to the operation of electric vehicles and devices. After their lifetime, these batteries […]

The intern will assess computer-based simulation tools used by a leading Canadian aerospace organization to determine the accuracy of these tools. Specifically, the objective is to establish the extent to which these engineering tools can be used to capture the performance benefits of novel aerodynamic design strategies recently developed at Carleton University for aerodynamic shaping […]

The state-of-the-art of building energy management systems uses model predictive control to compare alternative control strategies prior to implementation. Climate conditions dramatically influence the control strategy selection. These rely on conventional climate forecasting that provides coarse resolution with respect to both time and space (e.g. 1 hour, 50 km). The industrial partner Green Power Labs […]

Agricultural biomass (such as wheat, flax, hemp straw, cereal straws) could be a low-cost feedstock for the production of valuable bioproducts. This will require fractionation of different components of biomass and the conversion of the fractionated components into various bioproducts. The intern will work on optimizing the fractionation process and characterization of bioproducts with an […]

Mitacs Accelerate has funded the first year of the Precast Design Studio. In this second and third year, the Mitacs intern, Chadia Uwamahoro, will conduct experiments on conventional horizontal connections to understand their cyclic behavior. The test setup and the experimental data will advance the scientific knowledge on the cyclic response of precast concrete shear […]

Ce projet a pour but d’améliorer le contrôle de qualité et l’entretien des gros équipements de production d’énergie électrique, soit les grands hydro-alternateurs. Une des parties problématiques de ces équipements est l’enroulement situé dans la partie fixe de la machine, soit le stator. Ce dernier est en effet soumis à des importantes contraintes électriques, mécaniques […]

Hydro-Québec has found that welding flaws induced during the manufacturing of hydraulic turbine runners are prone to fatigue damage. To avoid catastrophic failure, they developed a life estimation model that relies on flaw detection and sizing through non-destructive testing (NDT) inspection procedures. Probability of detection (POD) gives the probability or likelihood that a flaw of […]