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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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, […]

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 […]

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 […]

The proposed project fosters collaboration between Sabanci University and the University of Waterloo, offering significant benefits to both institutions. Sabanci University will gain access to advanced imaging and gas analysis techniques available at Waterloo, enabling precise characterization and optimization of the CO2 capture system. This enhances the quality and impact of ongoing research at Sabanci. […]

Ce projet de recherche, dirigé par une chercheuse en sciences économiques dans le cadre du programme Mitacs Globalink, vise à analyser les accidents de la route en Tunisie en utilisant des méthodes avancées d’analyse spatiale pour identifier les zones à haut risque, ou “zones noires”. Avec une base de données de 30 000 accidents couvrant […]

The goal of this project is to develop a class of smart materials known as “Electroactive Liquid Crystal Elastomers” which undergo shape change and exhibit locomotion by an applied electric field. Ferroelectric molecules will be specifically used in the design and synthesis of these materials which are expected to increase the dielectric constant of the […]