Étude empirique d’un modèle d’évaluation des compétences et d’une matrice d’évaluation de la maturité BIM

L’industrie de la construction au Québec entreprend son virage numérique, et le Building Information Modeling en est l’élément principal. Afin de répondre aux besoins d’évaluation de la progression de l’industrie concernant l’implantation et l’utilisation du BIM, plusieurs outils sont actuellement développés. Cependant, ces modèles d’évaluation des compétences ou de la maturité BIM bénéficient rarement d’une […]

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Nanostructured tantalum metallic coatings by high-pressure cold spraying

The proposed project deals with a novel idea of combining lightweight design and synthesis of metallic nanostructured materials and their use as feedstcok in the development of high-strength thin layered coatings. The engineered design of particles holds the key to accommodate both strength and toughness in the derived coatings due to the very nature of […]

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Numerical simulation of dehydration of heat-sensitive shrinking materials

Description: During drying most real materials shrink depending on moisture content, physical structure and sometimes the rate of drying. Moisture and temperature dependent transport properties (such as moisture diffusivity, thermal conductivity etc.) that control the drying rate change significantly with the shrinkage of the product. A two-dimensional liquid diffusion model will be developed in MATLAB […]

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An Energy Control Center (ECC) for DC Net-Zero Energy Buildings (NZEBs)

Nowadays, buildings consume about 40% of the global energy, what corresponds to one-third of greenhouse gas (GHG) emissions. To deal with this issue, the concept of Net-Zero Energy Buildings (NZEBs) was conceived. These buildings produce, by means of renewable energy sources (RESs), the total energy they consume on an annual basis. Since RESs, such as […]

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A Novel Gan-Based Solar DC-Optimizer

The solar energy market has recently experienced an exponential growth due to the increase in the energy demand and environmental issues. In this research program, a DC-Optimizer system will be designed and developed to harvest the maximum power from solar tiles installed on the rooftops of residential buildings in an efficient and cost-effective way. This […]

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Resolving membrane protein dynamics and self-association characteristics by fluorescence fluctuation analysis

This project aims to exploit an analysis of cellular and molecular dynamics which focuses on understanding protein-protein interactions in living cells. It will focus on the development and application of a suite of novel single molecule super-resolution imaging strategies that will address fundamental questions surrounding how the association of specific membrane proteins drives localization and […]

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Using Machine Learning to Decipher Controls Water Quality

Water in the United States is a valuable resource. It is used from everything from drinking water to tourism. However, by the 1970s, many rivers and coastal areas were severely degraded from decades of using water to assimilate pollution. After billions of dollars spent and decades of effort on all levels of government, the increasing […]

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Relationship between Elastomeric Material and 3D Printing

Additive manufacturing (AM) offers designers more Degree-Of-Freedom (DOF) in design with fewer limitations and they can focus more on the intended functionality of a product. For example, functionality can be referred to assigned mechanical deformation by printing rigid and elastomeric materials. Soft robot, artificial heart, and customized shoe mid-sole are some functional products. One important […]

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BIM-based Component-level Construction Sequence Planning for Precast Concrete Building

Precast concrete building is one type of prefabricated construction, in which some of the building components are produced in factories and transported to construction site for assembly. Because it focuses more on individual building components rather than the whole floor or construction area, traditional construction scheduling based on the floor or area level is not […]

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Robust Inventory Routing Problem Under Uncertainty

We dedicate to inventory routing problems with uncertain demand, arising from supply chain systems. We determine replenishment times, quantities, and vehicle routes to serve customers. To predict customer demand, we use machine learning techniques to extract information from historical data, which is normally available in big data era. We use distributionally robust optimization method to […]

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Rethinking Byzantine Fault Tolerant (BFT) Protocols in the Age of Blockchains

Blockchain technology is gaining an increasing amount of attentions in the past few years, partially due to the popularity of Bitcoin and other cryptocurrencies. It has the potential to profoundly disrupt a wide range of industries. Despite its great potential, today’s blockchain has several major hurdles. First, it can be slow. Second, it can be […]

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