Distributed Energy Resources are key elements in de-centralized power systems. By deploying them close to the consumer nodes, one can address the increases in power demand while bypassing investment in transmission and distribution systems. The proposed research work concerns the optimization of DC-DC interfaces for DC microgrids. It will consider different types of semiconductors (Si, […]

Autonomous flying vehicles are the future of aerospace industry. They require a robust trajectory tracking algorithm capable of finding an optimal solution in real-time. Optimal control, such as Nonlinear Model Predictive Control (NMPC) is a powerful technique which can handle the nonlinearities of a system by including the restrictions and constraints of its states and […]

Ce projet est une collaboration entre l’Université de Sherbrooke et les entreprises Adjuvants Euclid et Duchesne Lac-Mégantic. Il vise à développer un panneau préfabriqué en béton ultra-haute performance pour l’enveloppe des bâtiments. Une version en pierre naturelle de ce type de panneau avec un substrat en fibre de carbone a été déjà été développé et […]

The use of fibre-reinforced polymer materials has been continuously increasing as an alternative to traditional materials, due to their superior durability (absence of corrosion), lightweight, low maintenance cost, and rapid installation. Adhesive bonding techniques for strengthening existing structures, such as near-surface mounted (NSM) and externally bonded reinforcement (EBR) are usually preferable. The long-term performance of […]

The proposed project on cooperative multi-robot systems addresses one of the recognized major challenges and opportunities in collaborative robotics (Cobots). For multi-robot groups, optimizing transportation efficiency for the workpiece while at the same time achieving whole-body obstacle avoidance in a cluttered manufacturing environment is highly involved due to the physical coupling of the system between […]

Informed thin-film device design, wherein layers of thin-films are deposited onto an underlying substrate, requires an understanding of the spectral dependence of the optical functions associated with the thin-film layers which constitute such a device. In this project, we aim to continue to develop our understanding of the form of the optical functions for the […]

The objective of this project is the development of a novel control strategy for multi-agent robots. The objectives are energy saving and efficient robots movements and manoeuvres within clustered environments. To this end, the research intern (with the help of the host and home supervisor) will be in charge of developing a novel distributed control […]

Ce projet comprend l’animation/observation de communauté de pratique pour modéliser et prototyper une amélioration du système de gestion des idées existant et à l’intégrer parfaitement à la gestion de l’innovation technologique de l’IRÉQ. Ce nouveau système permettra la valorisation des idées produites dans un contexte scientifique pour les amener vers un processus d’innovation technologique. Ainsi, […]

Fully dense nanocrystalline alloys have high strength, hardness, and wear resistance due to their extremely fine (nano) crystals. This makes them of significant interest in different industrial applications which require excellent mechanical properties. A new nanocrystalline nickel-cobalt (NiCo) alloy, currently being developed with Integran Technologies Inc, Mississauga, Ontario, has a good combination of strength and […]

Terahertz (THz) waves are a type of radiation located between micro-waves and infrared light. This radiation possess both the qualities of micro-waves passing through walls and infrared which can be used to image an object. In the current project of the student, electro-optic sampling (EOs) method is used to detect THz pulse’s phase in reflexion […]

Decarbonizing the transportation sector and scaling up energy storage are critical for the transition to a net-zero economy. This project will study the potential of connecting fuel cell electric vehicles (FCEVs) to the electrical grid as distributed energy storage and/or electricity generators to supply electricity to the grid when needed. This FCEVs-to-grid pathway can maximize […]

Mastercard is looking to make transactions simple and secure for its customers and vendors across the globe by harnessing the power of graph learning. In this project, the power of graph-based deep learning will be utilized to develop a system that can detect fraud entities, anomalous communities, etc. This track will enable card users and […]