Traditional time-consuming and error-prone methods of quality control of prefabricated elements can be replaced with state-of-the-art approaches. For example, emerging computer vision and deep learning technologies can be employed in the processes to achieve better performance and quality. To detect defaults and missing welds on prefabricated steel products in real-time, this study enhances the performance, […]

Computational optics is the integration of algorithms to enhance optical imaging and exceed its physical limitations. The principles of computational optics can be used in microscopy by implementing programmable illumination to control the application of light onto tissue. MTT Innovation Inc.’s Light Steering Projection technology uses laser illumination, spatial phase modulation, and image processing algorithms […]

The unprecedented expansion of Cloud Computing, Internet of things and the recent advances in AI and Big Data analytics techniques are opening the door for new breeds of intelligent services and applications. However, such services and applications require a large computing capacity. Unfortunately, in dynamic environments, characterized by highly mobile devices and intermittent connectivity, it […]

The project aims to study the carbon footprint of pre-manufactured timber sections in the construction industry over its supply chain. This will include the following subobjectives: 1) Mapping of the activities of the supply chain. The aim here is to formalize a process model for all activities related to pre-manufactured timber. Equally important, the study […]

This research intends to investigate the impact of media type and size on stirred mill performance. Stirred milling tests will be performed with ceramic medias of different mechanical properties and sizing. The energy-size reduction relationships under each test condition will be analyzed. The effect of media type and size on media wear rate will also […]

Nearly 20% of all piercings lead to local infection, and therefore, it is imperative to develop alternative and commercially-viable methods of piercing aftercare to prevent infection. The general objective of the proposed project is to optimize the design of drug-eluting bio-absorbable scaffolds for human and animal tissue piercing applications with a focus on multiple drug […]

The goal of the project is to develop, implement, and validate novel condition monitoring algorithms that can detect the onset of a failure through changes in behavior of the DC bus capacitors in motor drives with no additional sensors. This is an important research area as detecting the onset of a potential failure is of […]

Ce projet de recherche vise à tester des nouveaux modèles d’intégration des systèmes et de planification, de simulation, d’anticipation des opérations au sein de l’entreprise Sotrem-Maltech. Les retombées attendues sont de deux ordres : dans un premier temps l’entreprise bénéficiera d’une base d’information unique et partagée au sein des différents postes fonctionnels, dans un second […]

Athletes who regularly use relaxation strategies have been are better able to interpret stress and anxiety symptoms as beneficial to performance. Intentional breathing is a relaxation strategy that applies positive and quick effects on the body physiological and perceived stress response, such as reducing heart rate and anxiety. The goal of this study is to […]

Traditional drug development strategy is costly, tiresome, and labor-intensive. In the last decade, artificial intelligence (AI) technologies have shown promising results to overcome some of these limitations. However, these computational technologies still cannot efficiently generate novel drugs with expected properties for treating specific diseases. Here we will apply new generation of AI frameworks to design […]

The proposed project aims to develop simple thermal resistance network models using experimental and CFD data to predict the performance of conventional circular sectioned heat pipes and thermosyphons. Heat pipes are a type of enhanced heat transfer device that uses a continuous cycle of boiling and condensing of a fluid to transfer heat at a […]

This project proposes the use of carboxylated cellulose nanocrystals (CNC) – developed and manufactured by Anomera Inc. from Canadian forest – as nano-inclusions to tailor a set of properties in cement and concrete composites towards enhanced performance. Due to its unique properties, CNC can significantly enhance the mechanical performance of cement and concrete composites. The […]