L’EDUF est un procédé de fractionnement de mélanges complexes récent et très prometteur combinant une sélectivité selon la charge des molécules (par l’application d’un champ électrique) et selon leur taille (par le choix de la taille des pores des membranes). L’objectif de ce projet de recherche est de développer une méthodologie de prédiction des performances […]

L’objectif de cette étude est d’analyser les paramètres physiques et d’opération qui contrôlent la clarté à la surverse dans un décanteur dans le but d’y abaisser la concentration solide. L’étude comprend deux volets : l’un théorique qui consiste au développement d’un modèle mathématique et l’autre expérimental pour la validation et la caractérisation. Le modèle mathématique […]

Geomechanica Inc. develops simulation software (Irazu) for rock engineering applications. This numerical software has been used in several peer-reviewed research publications in the rock mechanics field. A key challenge in the numerical modelling of rock masses is the selection of appropriate input parameters. The objective of this work is to develop a solution to streamline […]

During physiotherapy a continuous assessment and progress tracking of a patient’s performance is of clinical interest. In this project, based on the promising results from the initial prototype, we will redesign the wearable sensors to improve tracking accuracy, communication speed and robustness, incorporate onboard data storage and computation, and minimize cost and size. Furthermore, we […]

There is growing pressure from intergovernmental organizations, governments and consumers to reduce the quantity of greenhouse gases being released into the atmosphere. Investments in green technology such as renewable energy sources, battery technology and carbon capture and sequestration can often yield significant reductions in carbon emissions. However, the corresponding economic costs of these projects can […]

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, […]

This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. […]

Oscillatory neuronal activity can be quantified to help diagnose states of health and disease in the brain. These activities change on a fast time scale of milliseconds, which can only be captured by direct measurement of the brain’s electromagnetic activity. This is accomplished utilizing MEG and EEG technology, which can measure non-invasively these fast changes […]

Historically, unmanned aerial vehicles (UAVs) – also referred to as remotely piloted aircraft or drones – have most commonly been associated with military applications. In recent years, however, there has been a shift in interest towards civilian applications and a corresponding increase in research and development in this area. UAVs typically fall into two categories: […]

The effects of temperature on the mechanical properties of geomaterials (e.g. soils, rocks) are important for the safety and life cycle of any infrastructures. The research activities in the field suggest that there is a lack of understanding due to limited experimental data. The seasonal climate change causes the variations in temperatures which may pose […]

Increasing pressure on India’s limited water resources due to population growth demands innovative and cost-effective methods of water management. One avenue of significant research is the treatment and recycling of municipal wastewater, where only about 31% of the domestic wastewater generated is treated using conventional methods. Aerobic granulation (AG) is a novel biotechnological wastewater treatment […]

The proposed internships will be aimed at developing advanced computer (software) and hardware platforms for simulation of modern power-electronic converter systems used in emerging electric power transmission systems. In particular, modular multi-level converter (MMC) simulations will be targeted. These converters are considered the primary candidates for dc systems used to integrate renewable energy sources into […]