This project brings together ÉTS Montréal and the American University of Beirut to design smarter ways for satellites and ground stations to share network resources so that next generation of quantum secure communications can run in a optimized way. Using quantum computer simulations, the intern will test new matching and learning algorithms that decide, in […]

For a long time, scientists have been trying to unify the theory of gravitation with quantum physics. Quantized gravity is necessary to correctly describe phenomena where huge masses combine with tiny dimensions such as at the big bang or in black holes. The latter can be observed and thus can serve as an ideal testbed […]

This project explores the feasibility of using a hybrid sensing system that combines Near-Infrared Spectroscopy (NIR) and Electronic Nose (E-Nose) technologies, enhanced by machine learning, to detect early signs of spoilage and contamination in stored grains. By analyzing changes in grain structure and gas emissions, the study contributes to ongoing research on reliable, non-destructive, and […]

Global fish and seafood consumption has increased, leading to large amounts of byproducts from fish markets and processing industries. Currently, the byproducts are used to produce fish meals or dumped into the ocean, causing suffocation and introducing diseases and noxious species. Other potential uses such as bioconversion into biostimulant for agricultural use. Fish are rich […]

This project aims to develop advanced hybrid cooling strategies for electric vehicle (EV) battery systems by integrating turbulence-enhanced flow control with passive air and active liquid cooling methods. Using an unsteady Reynolds-averaged Navier-Stokes k-omega model, the research will investigate the role of turbulence in improving heat dissipation, temperature uniformity, and overall thermal performance. By combining […]

The increasing severity of climate change and glacial pace of emissions reform is requiring the development of new strategies for atmospheric CO2 drawdown. One of the approaches that has been gaining traction is Ocean Alkalinity Enhancement (OAE), a method that increases the physical absorption of atmospheric CO2 into the ocean by dispersing alkaline materials in […]

The rapidly increasing global use of cannabis and the increasing potency of ?9-tetrahydrocannabinol (?9-THC), the primary psychoactive component, necessitate rapid, sensitive, and portable detection methods for drug screening. Traditional chromatographic and spectroscopic techniques, while accurate, have limitations that hinder their use in point-of-care (POC) and real-life scenarios. Electrochemical sensors offer a promising alternative due to […]

The main objectives of the project are designing, developing, and integrating a high-resolution electromagnetic mapping instrument, with interchangeable sensor arrays or sensor suites for single-sided access, non-contact characterization of materials, by evaluating different electromagnetic properties (i.e., electric conductivity, magnetic permeability, dielectric constant) while using an intelligent modular architecture. Sustainability of new and improved manufacturing methods, […]

Le projet vise à identifier les modalités technologiques (ex., application mobile, messagerie instantanée, jeux sérieux, etc.) utilisées dans les interventions existantes pour prévenir les TCA; et comparer leurs efficacités. De plus, ce projet examinera les différents publics cibles et les caractéristiques des individus ciblés par les interventions numériques existantes pour prévenir les TCA. Cela inclut, […]

The ability for movement to adjust posture and growth in response to environmental stimuli is important for plants as sessile organisms. This project aims to understand how mechanics regulate plant movement by studying leaf movement in Arabidopsis. This research combines cutting-edge imaging and mechanical modeling techniques from both the host institution, Université de Montréal, and […]

Quantum imaging is a microscopy technique that uses special properties of light to observe smaller features and have higher sensitivity than classical methods, especially in low-light or noisy environments like deep tissue imaging. It uses special quantum properties, such as entanglement, which is often called “spooky action at a distance” and photon-number squeezing, which is […]

This project explores how quantum magnetometers—highly sensitive sensors that detect variations in the Earth’s magnetic field—can enhance positioning systems in urban environments where GPS signals are weak or obstructed. The research involves collecting magnetic field data across selected city areas to create detailed magnetic field maps. These maps will help determine how stable and reliable […]