Polymer hybrid bonding for microelectronic assembly

Advanced packaging and high-density chip stacking technologies are pivotal in the evolution of microelectronics, enabling enhanced performance through heterogeneous integration. Hybrid bonding interconnection has increasingly been recognized as the unique bonding method that meets the demands for high-density chip stacking. Cu/SiO2?hybrid bonding is the standard packing interface recently introduced in the industry. However, it faces […]

Read More
Optimization of micropillar microfabrication process for heterogeneous integration

Advanced packaging and high-density chip stacking technologies are pivotal in the evolution of microelectronics, enabling enhanced performance through heterogeneous integration. As the industry moves toward reducing bump size and pitch, the bonding methodology has shifted from solder balls to Cu pillars. Although Cu pillars with solder caps have successfully replaced solder bumps, they encounter technical […]

Read More
Développement et utilisation de catalyseurs à base de fer supporté sur l’hydroxyapatite pour des réactions d’hydrogénation du CO2

Face à l’urgence climatique et la nécessité de réduire les émissions de gaz à effet de serre, ce projet de recherche se focalise sur des stratégies innovantes pour la valorisation du CO2. Cette recherche s’inscrit dans un contexte de transition énergétique et de lutte contre le changement climatique, où transformer le CO2 en produits chimiques […]

Read More
Reformage de gaz issu de biométhanisation simulé : réacteur thermique vs. réacteur à plasma nonthermique

Dans l’urgence climatique à laquelle nous faisons face depuis plusieurs années, de nombreux sujets de recherche ont émergé dans le but de réduire l’impact environnemental du monde industriel. Une des principales motivations de ces récentes avancées concerne la réduction des émissions de gaz à effet de serre (GES) par leur recyclage ou transformation. Dans ce […]

Read More
Optimizing QUS-based ML Training Pipeline Efficiency for Liver Health Analysis

This project will involve developing tools and conducting analyses to improve the efficiency and quality of a quantitative ultrasound (QUS)-based machine learning pipeline. The student will work within a company that uses raw ultrasound image data captured on mobile devices to produce liver health scores (measured in kPa). These scores are used to assess liver […]

Read More
Application of Effective Methods for Assessment and Remediation of Eutrophication in Surface Water Reservoirs in Tropical and Temperate Climates

The main objective of the project by both interns (with tasks defined for each in the timelines) is aimed at the field of building sustainable water resiliency, adaptation and management with the following specific sub-objectives: • To evaluate monitoring technologies of eutrophication on water reservoirs. • To evaluate technologies for prevention and remediation of eutrophication […]

Read More
Preparation of Molecular Dye-Sensitized Photoelectrode for Light-Driven Processes under Low-Intensity Light Conditions

This project focuses on preparing photoelectrodes by designing molecular dye sensitizers, nanostructured substrates, integrating them and finally characterizing the photoelectrochemical properties of the photoelectrode under low-light conditions. By developing and optimizing the design of the photoelectrode, the project aims to enhance solar to chemical energy conversion processes for green fuel or high-added value products. The […]

Read More
Advanced nanomaterials for the photocatalytic PFAS removal in wastewater

The proposed project, “Advanced Nanomaterials for Photocatalytic PFAS Removal in Wastewater”, is a collaborative initiative between Canada and Vietnam aiming at tackling PFAS contamination in water. PFAS, which are toxic chemicals found in industrial effluents, firefighting foams, and consumer products, are persistent in the environment and pose significant health risks. The project will develop advanced […]

Read More
Automated Stenosis and Plaque Detection in Support of CAD-RADS Reporting

The project leverages artificial intelligence to automate the stenosis and plaque detection for cardiologist and radiologist users in their diagnoses of coronary artery diseases. This will greatly facilitate their workflow in busy clinical settings. By reducing the time required for analyzing each patient case, healthcare professionals can focus more on patient care. Automation can also […]

Read More
Synthesis of TiO2 Nanoparticles by Sol-gel Method and Their Characterization, Photodegradation of doxycycline in water induced by TiO2

This project focuses on creating titanium dioxide (TiO2) nanoparticles using the sol-gel method, studying their properties, and using them to break down doxycycline, an antibiotic, in water. It addresses water pollution, a key issue in Canada, by developing affordable and effective ways to remove harmful pharmaceutical pollutants. TiO2 is a powerful material for cleaning water, […]

Read More
Intent-based Network Management

This project aims to develop advanced, self-managing networks that reduce the need for manual intervention by allowing network administrators to set high-level goals, called “intents,” rather than dealing with complex configurations. By automating network management tasks and ensuring that these intents are consistently met, the project will help the partner organization operate more efficiently, reduce […]

Read More
Occupant-Centric Low-Energy Design Solutions for High-Rise Social Apartments in Ho Chi Minh City

The Occupant-Centric Low-Energy Design Solutions for High-Rise Social Apartments in Ho Chi Minh City project seeks to improve energy efficiency in high-rise apartments by understanding and integrating the daily behaviors and preferences of residents. The objectives of the research include: – Develop a set of criteria for evaluating energy efficiency that aligns with user behavior […]

Read More