In this project, various business challenges within the transportation management industry will be studied to look for ways to optimize and improve the current practices. Artificial intelligence-based algorithms will be developed in order to automate manual intensive processes, optimize route planning and demand management, including price fluctuations, adverse weather events and seasonal impacts, and finally […]

Over 10,000 cities around the world have implemented LA21s through partnerships involving public, private and civil society organizations. Organizing large cross-sector partnerships requires structures for ensuring collaborative action (such as decision-making processes, communication systems, monitoring and reporting systems, etc.). Being involved in the partnership results in outcomes for the partner organizations (e.g., sustainability progress, legitimacy, […]

We propose the development of novel statistical methods to improve upon detection of normal and abnormal behaviours in industrial sensors. The ability to detect subtle changes in sensor performance in a wide range of operational conditions has significant potential for MineSense Technologies Ltd., which operates sensors in challenging conditions. It can be very difficult to […]

The integration of significant capacities of distributed energy resources (DERs) such as renewable wind and solar generation for a more sustainable energy future creates several challenges to the reliable and efficient operation of power distribution systems. These include: (i) Uncertain and intermittent nature of renewable generation compromises power quality for end-customers. (ii) Up-to-date distribution system […]

Le Labo Climat Montréal est un projet de recherche qui accompagne la Ville de Montréal et Ouranos dans le redéveloppement urbain du quartier Lachine Est. Son objectif est de développer de nouvelles pratiques de planification de projets urbains qui prennent en compte l’adaptation aux changements climatiques. Pour cela, les stagiaires participeront aux nombreuses tâches du […]

Quality inspection is very important for manufacturing industry, current solution struggles with accuracy and requires machine vision knowledge to use. We are proposing to use deep learning technology to improve the performance of inspection as well as to ease the use of such system, so that user can simply use labeled data to build a […]

This project will develop a microscope to allow ear surgeons to non-invasively see through the ear drum and into the middle ear. 250,000 ear surgeries are conducted annually in the US, but currently ear surgeons do not have a good diagnostic tool for imaging the middle ear non-invasively. For many forms of conductive hearing loss, […]

Supercapacitors are electrochemical energy storage devices that promise fast charge-discharge rate, high power density, and long cycle life. However, low energy density and high cost of supercapacitors are yet to be addressed to catch up with the established market of batteries. This research project will design low-cost and high-energy electrodes for high-performance supercapacitors. To this […]

The objective of the proposed research is to investigate the performance degradation of a full-scale modified NACA 66 section, which is typically used for marine propellers, due to leading-edge (LE) manufacturing tolerances. Two-dimensional computational fluid dynamics (CFD) simulations will be carried out for the base section without defect (as designed) and sections with LE defects […]

Avec le plan Nord 2035 lancé en 2011 (Gouvernement du Québec 2015), le Gouvernement du Québec prévoit investir dans la mise en place de 17 projets miniers dans le nord du Québec (au-delà du 49ième parallèle). Les écosystèmes fragiles comme la toundra subarctique ne peuvent pas retrouver leur état d’origine après une perturbation d’envergure comme […]

Grasping skill is significant in modern service robot that requires interaction with object under manipulation. Grasping of a new object is a trivial task for human operator while it is challenging for robot manipulators. Inspired by the grasping process of human operators, grasping control algorithms based on the integration of vision, tactile sensing. Deep learning, […]

The emerging technology company is in a dynamic environment where everything is changing turbulently, not only the actors but also the environment itself. For such emerging companies it is crucial to rely on local innovation communities in order to build and maintain a competitive advantage while balancing a number of paradoxes relater to their involvement […]