The research project will develop a pipe replacement and rehabilitation optimization method. The research group is currently developing machine learning models to predict future water main failure. Data has been collected from 13 cities across Canada and represent different conditions and settings. This data is already being cleaned and analysed by a team of graduate […]

The proposed project aims at the design and implementation of low complexity digital pre-distortion (DPD) algorithms for multiband and multiple input multiple output (MIMO) wireless transmitters. The power amplifier (PA) is one of the major sources of power dissipation in wireless base stations. The DPD techniques enable the PA to operate in a more efficient […]

In this project, we bring together a team of four proposed MITACs globalink student scholars working in Brazil and Canada with supervisors directly involved with the research project. We will begin to fill the gaps in knowledge about successful reintroduction of capuchin monkeys by 1) conducting behavioural research on bearded brown capuchin (*Sapajus libidinosus*) personality […]

Many skilled women workers are going through unemployment phase after Covid-19. There few are under employment. These skilled, and educated professionals are facing domestic work pressure, and economic challenges, where the secauses unhappiness in their life. This Covid-19have impacted badly to the life of IndoCanadians, particularly women as a vulnerable group. However, this research addresses […]

Le projet Mitacs Globalink que nous proposons est la première étape d’une collaboration entre le laboratoire DOMUS de l’Université de Sherbrooke et le laboratoire LISTIC de l’Université Savoie Mont Blanc. Dans sa thèse, M. Hubert Kenfack NGANKAM a créé un système de création de scénarios pour aider les personnes atteintes de la maladie d’Alzheimer lors […]

In this project, by considering a team of heterogeneous robots available at the host institution, the intern will develop a trajectory planning method that ensures target enclosure in the presence of noisy measurements. Such a planner will leverage a positioning algorithm developed to take advantage of all the robots’ onboard sensors. Specifically, the objective of […]

Complex sites with concentrations of inscriptions and rock drawings (petroglyphs) in the Upper Indus region in northern Pakistan are threatened with inundation in a flood zone of Diamer-Basha dam. These invaluable cultural heritage resources comprising over 30,000 petroglyphs and approximately 4000 inscriptions abraded into the desert varnish on the surfaces of rocks at dozens of […]

The proposed study will extend the findings of the current literature through the following objectives: 1) to understand individual’s ability to use visual information to accurately avoid an approaching person; 2) determine the role of environmental objects (i.e., doorway) in regulating avoidance behaviours; and 3) determine any concussion-related avoidance behaviour changes. To meet these objectives, […]

Low back pain (LBP) is one of the most prevalent musculoskeletal conditions globally; it has claimed the number one spot for global burden, the number of years lived with disability, and health condition requiring the most rehabilitation services. Despite the commonness of LBP, there is a lack of understanding on the deficits associated with chronic […]

Many studies worldwide use neuroimaging to investigate whether there are abnormalities in the structure or function of the brain that underlie mental disorders. The sample sizes in these studies are limited because of the high cost of neuroimaging and difficulties in recruiting large numbers of patients if the disease is rare. This is a problem […]

It is imperative to have sustainable infrastructure that emits as little greenhouse gases as possible by 2050 in order to reach net-zero emissions. The key component of this strategy is development of CO2 capture units, as well as the use of renewable energy sources. By incorporating renewable electricity to meet the energy demand of high-temperature […]

The proposed work under this award program involves fabrication of functionally graded B4C particle reinforced AA6061 metal matrix composite through stir-centrifugal casting technique. Subsequently, the deformation behavior and fatigue failure analysis of the fabricated composite will be carried out. The 2D microstructure, constituent phases, particle distribution, and gradient will be revealed by light and electron […]