If we can understand the microstructure of these steels, we can figure out how they will deform over the long term.

3D printing is versatile and time-saving to fabricate parts with complex structures. It is an essential supplement to conventional processes for metal components. But, the high cost of metal 3D printing severely limits their industrial applications. Recently, the Fused Deposition Modeling (FDM) method can 3D print metals at a lower price. The composite filament contains […]

The proposed project involves the use of a combination of two techniques i.e., rheology, confocal microscopy and image analysis, aimed at understanding the physics of bacterial cells at interfaces. Given the fact that the interactions and the interplay of forces are complicated at interfaces, the proposed study can provide significantly valuable insights into the dynamics […]

This project, as part of an ongoing collaboration between the University of Calgary (UCalgary) and École Nationale Supérieure d’Arts et Métiers (ENSAM), is dedicated to validating a trust model developed from a Ph.D. thesis work. The trust model serves to describe the effectiveness of human-machine collaboration in various tasks. By creating a real-world case for […]

Speech sound disorders (SSDs) are an umbrella term for a range of speech difficulties characterised by a constellation of deficits. Identifying SSD subtypes can be supported by objectively analysing the child’s speech and facial movement patterns (kinematics). However, these movements can only be precisely and specifically measured using specialised instrumentation and software limited to the […]

Our research project focuses on enhancing the performance of grease lubricants utilized in the mining industry through the incorporation of graphene nanoparticles. Graphene is a cutting-edge material known for its exceptional lubricating properties. The intern(s) will collaborate closely with Nova Graphene Canada to synthesize and test these advanced lubricants. The expected outcome is the development […]

The project will sponsor an intern’s visit to UNL. The intern is a Concordia student co-supervised by her Canadian supervisor (Concordia) and her American supervisor (UNL). The topic is an integrated part of the intern’s PhD study, which synthesizes, analyzes, and evaluates economic incentives (e.g., tax breaks, subsidies) required by sustainable energy transitions of Quebec […]

The objective of this project is the development of a novel data-driven control framework for nonlinear dynamical systems. The proposed solution will be validated and tested on the autonomous ground vehicles available at Concordia University. To achieve the desired goal, the research intern, with the supervision and help of the host and home supervisor, will […]

The degradation of soil under freeze-thaw cycles will pose a major threat to newly constructed infrastructure in cold regions. The soil ground forms an essential part of the built environment, thus actions should be taken to improve the ground’s resilience. We are collaborating with our industry partner SFTec Inc. to propose a sustainable value-added strategy […]

Carbon capture and utilization (CCU), primarily the CO2 electroreduction technology, can convert CO2 into a variety of valuable products, using renewable electricity. However, the path to widespread adoption of the CO2 electroreduction technology in industrial settings is met with several challenges primarily the cost of electricity, efficiency and selectivity of the desired product. One of […]

Ensuring the sustainability of air transportation is a priority for the global aerospace community. Disruptive technologies, such as hydrogen-based propulsion, are promising but present significant challenges for the design and operation. One challenge for designing these future aircraft is the large number of potential architectures and the need to consider safety already in the early […]

The proposed project seeks to evaluate the stability of concrete hydraulic structures using a progressive method that balances precision and computational expenses. By examining various simplification assumptions and analyzing different loading conditions, while incorporating machine learning techniques to merge data with different levels of accuracy, the project aims to enhance the evaluation of risks associated […]