Tunable Topological Features in Microring Arrays

Topological features can arise when you combine materials or lattices of different configurations at the interface. Individual elements of the lattice can be engineered to select modes which do not propagate into the rest of the system (by splitting them), and the rest would be able to, using Floquet optical ring resonators. We propose to […]

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Feedback mechanisms in Extended Reality Applications

The objective of this research project is to combine different forms of user feedback mechanisms (haptic, olfactory, force, auditory) to better recreate simulated environments and increase the impact of extended reality (XR) training platforms for both users and collaborative robots. As such the research question that is being investigated during the research project is: How […]

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Improving efficiency of federated learning using access network infrastructure

The first aspect of this project aims to address the so-called digital divide, the challenges for broadband access in remote areas. The second is data privacy in artificial intelligence solutions. With the advent of 5G, we can now use fixed wireless access (FWA) to enable broadband access in remote areas. It consists of installing a […]

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Building Footprint Extraction from Remotely Sensed Data

The primary objective of this project is to automatically extract accurate footprint maps of buildings from remotely sensed data such a satellite/aerial images. In recent times, deep learning approaches have shown significant progress and success in processing remote-sensing image data. Most prevailing techniques used for this task often involve using pixel-level classification deep learning techniques […]

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The effect of genre on syntactic complexity in English L2 writing

By using second language (L2) written corpus data, this study explores the effect of different genres (i.e., argumentative, expositive, narrative, and descriptive) on syntactic complexity measures. Previous studies have noted that specific genres require unique sets of linguistic features, including measures associated with syntactic complexity. Therefore, the analysis will identify which complexity features are uniquely […]

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Reinforcement Learning Based Constrained Control Applications

The main issue of the proposal hinges on the application of Data driven approaches for Model Predictive Control (MPC) applications. MPC is an optimization based control methodology well known in literature which is extremely popular when considering constrained control problems. The main drawback of MPC is the need of an accurate model plant to solve […]

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Enquête sur la commercialisation des nanotechnologies au Canada

Les objectifs de ce projet visent à déterminer l’impact de la collaboration université-entreprise sur la commercialisation des nanotechnologies, à déterminer l’impact du financement public de la recherche universitaire et à travers des contributions directes aux entreprises sur la commercialisation, et à étudier les effets des retombées de connaissances ‘capturées’ par les entreprises avec ou sans […]

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A robot control strategy for automated compound sanding of gypsum plasterboard

Nowadays, many building contractors use modular construction, where various parts of a building are partially or completely built on an assembly line and then put together on the delivery site. Building interior modules often involve building and finishing plasterboard walls, including closing joints between panels and hiding fasteners or defects. To do so, a gypsum-based […]

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Optimization of DC-DC converters for DC microgrid interfaces

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, […]

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Novel Barcoded DNA-Polymer Hybrids on Magnetic Nanoparticles for the Selection of de novo Exosome Aptamers

The biological role of exosomes in cancer development renders them potential biomarkers for early cancer diagnostics. Current exosome extraction methods yield impure samples and are composed of relatively harsh conditions that cause exosome denaturation. Exosomes related clinical applications and research require tools to isolate exosomes from biological samples in its native form with high purities. […]

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Estimation de l’abondance du lynx du Canada en intégrant les données provenant de différentes méthodes d’échantillonnage passives

Les populations de lynx du Canada (Lynx canadensis) suivent habituellement des cycles d’abondance d’une dizaine d’année, ces cycles étant déterminés par l’abondance du lièvre d’Amérique (Lepus americanus). Toutefois, les données de piégeage de lynx du Canada au Québec suggèrent une disparition des cycles de populations. La cause de ces changements demeure inconnue et pose un […]

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