Due to its versatility, time and cost saving, additive manufacturing (AM) technology, and more specifically selective laser melting process (SLM), is replacing conventional manufacturing processes, particularly for producing complex geometry components. In this technology, the near net shape parts are incrementally built by fusing layers of powder material using an intensive heating source/ Structural stress […]

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This […]

Many mineral ores are concentrated by froth flotation, a process that often uses toxic chemicals to selectively alter mineral surface properties. With increasing regulatory restrictions, the industry could face a dead end with no alternative reagents that are sufficiently efficient, low cost or environment friendly. It has been previously shown that peptides could selectively bind […]

Le projet consiste à bâtir un outil permettant d’évaluer les économies que les clients peuvent espérer en mettant en place le procédé et le logiciel proposé par Merinio. Le logiciel est un outil permettant de faire la gestion de la main d’œuvre de façon plus efficace en automatisant des tâches, en éliminant des tâches répétitives […]

Small surgical instruments can be used multiple times if cleaned properly after each surgery. At the end of the cleaning process, a visual inspection of each instrument is performed in order to detect any traces of soil such as blood, tissue or any other biological materials. However, the human eye is not a flawless sensor […]

As the corporate board can be seen as a type of group, scholars from the group perspective have found that tasks performed by groups are unalike, and the effect of group attributes on performance largely depends on which type of tasks the group perform. Based on the survey data expected to be collected from our […]

NonDestructive Testing (NDT) is a key discipline in major industrial sectors to ensure quality and safety. Several methods are regularly employed in areas ranging from x-ray or ultrasound testing of metallic or composite components in the automotive and aerospace industries, to the inspection of petrochemical ducts using eddy currents or acoustical emissions. The present proposal […]

Cancer cells are nearly impossible to distinguish from normal tissue without sophisticated detection methods and conventional methods fail to provide real-time information during the surgical procedure. ODS Medical is developing an exclusive Raman spectroscopy system that collects data through an optical probe and is interfaced with sophisticated machine learning algorithm to identify tissues abnormalities in […]

This project is intended to develop the technology to form high performance plastics reinforced with carbon fibre (polymer composites) in order to produce lighter parts to replace conventional metallic parts. As the parts may be exposed to fire during use, a comparison between different material systems under fire exposure is also required to have a […]

In the current functional and structural neuroimaging project, we aim to identify functional and structural changes that correlate with disease presence and its severity (staging) and that can serve as a basis for future development of PD neuroimaging biomarkers. To achieve this objective we will use our expertise in functional neuroimaging of the cervical spinal […]

Antibiotic resistance represents a major health problem for society. With the expanded use of antibiotics, microorganisms have developed various mechanisms of resistance to overcome the effects of once highly effective agents. There is therefore an urgent need to identify new therapies to counteract resistant strains. The intern will design and identify new drugs that are […]

Research in Machine Learning and Artificial Intelligence has been applied to image recognition. Weather modeling and prediction make use of distributed computing. Forestry research produces ground cover models and economic value predictions. These active research disciplines are all implicated in the emerging area of big data analytics as applied to the needs of the industrial […]