The number of structural assessment and evaluation projects in Canada is growing due to the aging of the existing infrastructure and the need for extending the service life of critical structures. Current practice utilizes simplified, rather conservative methods of assessment that do not typically yield optimized decisions regarding the safety condition of the existing structure […]

Membranes are becoming the dominant technology in treating drinking water and wastewater. Membranes can be made in various geometries, but hollow fibers are the preferred form factor; they can be packed more efficiently, reducing the plant size and they are often easier to clean than alternative geometries. Nevertheless, during use, membranes will become fouled, which […]

Notre projet de recherche consiste à développer des bétons d’isolations à partir des fibres de jute recyclées. Il faut savoir que les fibres utilisées sont issues du recyclage des poches de jute. Après leurs utilisations, les poches de jute sont jetées dans la nature et considérées comme déchets. Ainsi, les poches de jute sont récupérées, […]

This research investigates means for achieving net zero energy dwellings and neighborhoods through maximizing solar potential of dwelling units, isolated and in assemblages. This study will help the community planner to design an efficient layout to achieve maximum solar fraction. Optimum combine building loads in community will lead to a more energy efficient mechanical and […]

The interns in this project will use their skills in researching parts and products that can be used to achieve the subprojects that we set out to create on the micro-mobility car. In some areas the students may use the machine shop and equipment found in the engineering building on York University campus to create […]

This project proposes multi-criteria decision-making and mathematical programming (optimization) techniques to design an integrated decision-making tool to assist organizations in managing this complex process and achieving more efficiency. For the first problem, allocating project managers, we develop a multi-criteria decision-making method that will offer the possibility to optimize the usage of PMs’ time considering the […]

This project will develop appropriate strategies for a “Smart Community” of the future with respect to the integration of food growing and processing spaces into the community. This may range from rooftop greenhouses, residential growing sunspaces, community gardens, food producing building components, etc. As well this proposal will investigate how food production will interact with […]

The recording of brain activity through neural Implantable Medical Devices (IMDs) has a wide range of applications, such as studying brain patterns for seizure detection or brain stimulation to alleviate motor disorders. Some IMDs communicate with an external interface platform, which offloads the recorded data from, programs, and supplies power to the IMD. However, existing […]

Around 4 billion tonnes per year of crop and forest residues (biomass) are burned in open air, because they are often loose, wet, bulky, and too expensive to collect and centralize for subsequent conversion into useful products. This results in air pollution, and in some cases, exacerbated wildfires. In this project, we are applying machine […]

Des technologies numériques présentent un potentiel considérable pour traiter le risque géométallurgique en amont et de manière continue pendant la production. Au nombre de celles-ci, la simulation phénoménologique, la commande prédictive, l’optimisation en temps réel et les capteurs virtuels forment le noyau autour duquel pourra s’articuler une proposition pour concrétiser le volet minéralurgique de la […]

Deep reinforcement learning has achieved great successes in recent years. One of the primary challenges faced by such methods is the high cost involved in training a system that demonstrates the desired competency and performance. This project aims to study and compare the available techniques for improving the training efficiency and effectiveness of reinforcement learning […]

The project involves the investigation of perovskite solar cells fabrication for indoor and outdoor applications based on a method that can be used for industrial production. The intern will first study the optimization of perovskite solar cells by choosing the appropriate hole transport layer for the device stack provided by Rayleigh. This device architecture can […]