Current and near-future D-Wave processors implement optimization using quantum effects on a fixed processor layout. This layout can be modeled as a graph with certain constraints, and the optimization is applied to a specific problem: fixed-topology Ising spin optimization. It is therefore important to study how best to use this hardware to solve combinatorial optimization […]

Dans le but d’améliorer le taux d’ensemencement d’un semoir pneumatique de graines de résineux, un système automatisé de vision par ordinateur permettant la détection automatique des graines de semences de résineux permettant ainsi l’évaluation en temps-réel de l’efficacité d’ensemencement du semoir sera développé. Ce système automatisé sera constitué d’un système de capture d’images par caméra […]

Pulse oximeters are key devices to provide early information on the respiratory and circulatory systems. In addition to be bulky and cumbersome, most commercially available systems lack a wireless connection, which cause numerous inconveniences. This project aims at designing a new wireless ring pulse oximeter which will enable to measure transmitted and reflected light from […]

Automated human body pose estimation and activity recognition in videos is still one of the challenging problems in computer vision. Generally, it is becomes a significantly difficult task in real world applications due to camera motion, cluttered background, occlusion, and scale/viewpoint/perspective variations. Moreover, the same action performed by two persons can appear to be very […]

A l’heure actuelle, le domaine de la construction est l’un des plus en retard au niveau des nouvelles technologies par rapport aux autres domaines de l’industrie. En effet, que ce soit pendant la phase de conception, ou celle de réalisation, l’information circule encore beaucoup sur support papier, et en grande quantité. Alors que des études […]

This research is aimed at the development of new modeling and simulation algorithms of interconnected AC and DC supergrids for power flow and transient stability analyses. The efforts will be focused on the following technical areas: • Advanced modeling methods of AC/DC power converters and controls for the integration of renewable energy resources in power […]

This project will investigate and develop advanced algorithms for high dynamic range projection using caustic image formation. These algorithms dynamically redirect light from dark image regions to bright regions, which addresses the problems of low peak luminance and poor black levels in current projectors. The algorithms will improve upon existing lensing methods by increasing computational […]

Depuis quinze ans, Hydro-Québec organise des formations sur l’Initiation au code de sécurité des travaux Postes et centrales et Initiation aux risques d’induction, mise à la terre et foudre. Ces formations de trois jours s’adressent à toute personne appelée à intervenir chez Hydro-Québec. Visant un meilleur coût d’opportunité, Hydro-Québec a choisi d’intégrer une nouvelle modalité […]

The need for better measurement of emergency response teams has been recognized as one of the key challenges that characterize the field of team work studies. Ideally, when assessing team performance, one should combine information about the nature of the team (e.g., what is the team structure?) and about its members (e.g., is one of […]

Making use of the ever-growing amount of data available is a vital opportunity for many industries and research labs, both in Canada and the rest of the world. The initial exploratory data analysis phase is when many of the hypotheses and our intuitive understanding of a data set occurs. Thus, it is essential that the […]

« Optimisation du couplage magnétomécanique pour les technologies quantiques ». Dans le groupe, nous travaillons sur l’optomécanique en régime microonde en utilisant une interaction magnétomécanique. Cette interaction permet d’obtenir un couplage record entre un résonateur microonde et un système micro- mécanique. Dans le contexte de ce projet, vous aurez l’opportunité d’explorer différentes approches, telle que […]

This research project explores the use of quantum machine learning (QML) to optimize aerial reconfigurable intelligent surface (RIS)-assisted networks that integrate sensing and communication (ISAC). The goal is to enhance the sustainability and efficiency of these advanced wireless systems by intelligently minimizing electromagnetic field (EMF) exposure. By leveraging quantum-enhanced algorithms, the project aims to design […]