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 […]

The research project will develop a pipe replacement and rehabilitation optimization method. The research group is currently developing machine learning models to predict future water main failure. Data has been collected from 13 cities across Canada and represent different conditions and settings. This data is already being cleaned and analysed by a team of graduate […]

The proposed project aims at the design and implementation of low complexity digital pre-distortion (DPD) algorithms for multiband and multiple input multiple output (MIMO) wireless transmitters. The power amplifier (PA) is one of the major sources of power dissipation in wireless base stations. The DPD techniques enable the PA to operate in a more efficient […]

Over the past few years, deep neural networks (DNNs) have been used to solve a wide range of real-life problems. However, DNNs are vulnerable to adversarial attacks where carefully crafted input perturbations can mislead a well-trained DNN to produce false results. As DNNs are being deployed into security-sensitive applications such as autonomous driving, adversarial attacks […]

In this project, by considering a team of heterogeneous robots available at the host institution, the intern will develop a trajectory planning method that ensures target enclosure in the presence of noisy measurements. Such a planner will leverage a positioning algorithm developed to take advantage of all the robots’ onboard sensors. Specifically, the objective of […]