Optical detection of free carriers in 2D materials

This project will focus on the optical detection of free carriers in 2D materials. The insights gained will enable the extraction of carrier numbers from the absorption and emission spectra of 2D crystals subjected to high magnetic fields. Understanding the optical responses of low-dimensional, many-body systems is crucial for advancing future optoelectronic devices in quantum […]

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An Exact Method for the Quadratic Knapsack Problem Through Binary Decision Diagram

This Mitacs Globalink project, part of a PhD thesis titled “Exact and Heuristic Methods for the Quadratic Knapsack Problem (QKP),” aims to develop new optimization techniques for solving the QKP, a problem with significant applications in industries like logistics, finance, and electronics. Building on prior successes, including a dynamic programming heuristic and an algorithm using […]

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Création d’un modèle d’encodage XML-TEI pour les registres de comité de la Comédie-Française (1677-1919)

Ce projet de recherche a pour objectif de créer une édition numérique des registres de comités de la Comédie-Française. Ces registres témoignent de la vie quotidienne de la troupe de théâtre, et sont actuellement conservés à la bibliothèque-musée de la Comédie-Française. Grâce au travail des étudiants et étudiantes de master sous la direction de Florence […]

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Design and development of low-area high-accuracy controller circuit on ASIC for stabilizing a novel SiP-based external-cavity laser (ECL)

FONEX Data System Inc. is developing solutions to address the challenges that telecommunication service providers face in upgrading their access networks to sustain the growth in data traffic. A key component of these solutions is the development of a low-cost, widely tunable external cavity laser (ECL) utilizing Photonic Integrated Circuit (PIC) technology. A significant advantage […]

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Hybrid Quantum-Classical Image Processing by Merging Enhanced Flexible Qubit Representation for Quantum Images equipped with Probability Distribution (EFQRQI-PD) and Machine Learning for Enhanced Accuracy

Image processing principles and techniques represent a significant advancement in modern technology, offering invaluable contributions to numerous sectors. Despite their efficacy, conventional AI and ML-based image processing algorithms encounter inherent limitations that obstruct their scalability and performance. The main aim of the proposed research project is to develop image processing algorithm based on quantum computing […]

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Optimization of laser beam machining process parameters to minimize recast layer

This project focuses on improving the component quality after Laser Beam Machining (LBM) for HS188 (AMS5608), a superalloy critical in aerospace and power generation due to its high strength and corrosion resistance. LBM often leaves a recast layer, a residue of resolidified molten material on the side edges, which weakens the material’s strength and corrosion […]

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L2M – AI-Driven Subsea Video Enhancement with Advanced Filtering for Improved Visibility in Challenging Underwater Conditions

This project aims to enhance subsea video quality for improved underwater visual inspection and analysis, crucial for industries like offshore oil and gas, marine research, underwater construction, and maritime security. Leveraging advanced AI and machine learning techniques, we will address challenges like water turbidity, light attenuation, and visual distortions in underwater images. Through the Lab2Market […]

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Automatic Mixed Reality Guidance for Obstetric Ulrasound in Remote and Resource Limited Settings – Globalink Research Internship at the University of Oxford, UK

Ultrasound (US) is an important diagnostic tool in healthcare, especially in low- and middle-income countries (LMICs) where it is often the only available imaging modality. However, in remote and resource-limited settings, multiple barriers limit access to ultrasound including a shortage of professional sonographers and long travel distances. Teleultrasound, where non-experts perform US procedures under the […]

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L2M – Embedded TinyML solution for behavioral analysis, welfare monitoring, and localization of livestock using Internet of Things devices and Edge Computing

The North American livestock industry faces a combination of factors that decrease productivity, while demand for derived products continues to rise due to population growth. This necessitates the emergence of innovative, sustainable technologies to support processes, and collaborative efforts. Hence, a solution is proposed to enhance the livestock industry through an innovative IoT collar for […]

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L2M – Generating electric power from vibrational kinetic energy in ocean industry using piezoelectric VEHs

Hybrid Piezoelectric-Electromagnetic (Piezo-EM) Vibration Energy Harvesters (VEHs) utilizing magnets and nonlinearity present an innovative solution for generating increased energy from mechanical vibrations, offering a sustainable and renewable power source for diverse applications. Our focus lies in creating innovative and highly efficient designs that enable precise tuning of the working frequency based on the specific application, […]

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Exploring Quantum Materials with Atomic Resolution within the 2D MATURE International Program

Our group develops advanced tools that allow us to observe and understand materials operating within the realm of quantum physics, particularly those that emit light at the smallest scales. Quantum materials, often regarded as the superheroes of the science world, possess unique properties that can revolutionize technology—from ultra-fast computers to highly secure communication systems. To […]

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