Efficient Avatar Generation from Arbitrary Images

AR/VR may be the next frontier for online human communications and interactions. The ability to produce photorealistic avatars dramatically improves the feeling of immersion and connection in applications utilizing AR/VR. However, current methods of face capture are time-consuming and involve expensive cameras and sensors. In this project, we explore deep learning methods for generating face […]

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Machine learning aided accelerated design and characterization of automotive composites

The proposed research project involves developing machine learning models to predict the mechanical properties of polymer composites. The interns will collect and preprocess data from various sources including open-source databases and conducting extensive experimental tests, build artificial neural network (ANN) models using advanced algorithms, and validate the accuracy of these models using test data. The […]

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Modern LLVM mapping of sequential code to task-/data-flow models

The high-level goal is to develop technology to enable more C++ applications to run well on many-core architectures such as recent AMD CPUs, GPUs, and combinations thereof (APUs). We expect to improve the capabilities of compilers like clang/LLVM to identify task-level parallelization opportunities that are not able to be identified today.

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Characterization and Improvement of Interfacial Properties of Cathode Materials forRechargeable Hybrid Aqueous Batteries Year Two

A new aqueous rechargeable battery combining an intercalation cathode with a metal anode has been developed recently. The energy density for a prototype battery is comparable or superior to commercial 2 V rechargeable batteries. There is a need to further improve the cycle performance and to reduce self-discharge effects of this battery. In this proposed […]

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Vers la personnalisation de masse par une stratégie de tarification dynamique en contexte de PME

Les PME manufacturières du Québec sont en constante évolution et doivent faire preuve d’agilité pour se démarquer de la concurrence. La personnalisation des biens, une technique de production couramment utilisée au Québec, est un des moyens empruntés pour faire sa place dans un marché compétitif. En revanche, la mise en production de produits hautement personnalisée […]

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Visual comfort in a hedonic mobile multitasking context

The research problem of interest to EssilorLuxottica and to be addressed in this Mitacs Accelerate project with two M.Sc interns is the user experience of people who wear glasses in dynamic mobile contexts. Its significance for Canadians who wear glasses is due to the reality that smartphones have become an essential tool for interacting with […]

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Real-time Control Software, Calibration, and Assessment of a Redundant Robotic System Operating in a Supersonic Wind-Tunnel

MAE Robotics Inc. is working on a unique robot system called Captive Trajectory System (CTS) for supersonic wind tunnels. The robot will move aerodynamic models and prototypes inside the tunnel to measure and simulate their motion trajectories. This research project will focus on developing and implementing the appropriate robot control architecture, various redundancy resolution schemes, […]

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Multimodal Game Event Detection via Machine Learning

The partner company (AMD) is a major innovator in the field of computer graphics and visualization, they manufacture Graphical Processing Unit (GPU) which are used by many gamers around the world. While playing video games, gamers tend to perform out-of-band actions such as saving the last few minutes of gameplay after a challenging fight in […]

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Totem-Pole PFC using Cascaded GaN Switches

The proposed project will be a collaboration between the Ottawa (ON) based integrated circuit (IC) company, Power Integrations Inc. (PI) and RIGA lab at University of Manitoba, Winnipeg (MB). The result of the research project will be transferred to the IC design team in PI to integrate power semiconductors, gate drivers, controllers company to identify […]

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Analyse en temps réel de signes vitaux grâce à l’application de techniques d’apprentissage automatique et à la synchronisation d’une pluralité de senseurs physiologiques

La photopléthysmographie (PPG) est une méthode non invasive mesurant les changements de volume sanguin dans les tissus. Cette technique permet de dériver des métriques physiologiques importantes, telles que la fréquence cardiaque, la saturation en oxygène et la pression artérielle. Cependant, pour des résultats fiables, il est crucial de prendre en compte les différences physiologiques des […]

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