There are over 225,000 new cancer cases in Canada every year. Positron emission tomography/computed tomography (PET/CT) is the primary imaging modality for a range of cancer types. Various studies have established that determining size/volume, shape, and texture features of tumors from PET/CT images can help identify patients at high-risk of cancer relapse, or for whom […]

In today’s world, the video chat and conferencing has been a necessary part of overall routine life (both personal and work). Currently, the video chat and broadcast technologies require lots of bandwidth to transmit high quality data. In overall project, we aim to make video transmission data intelligent by using the state-of-the-art AI technology. This […]

The goal of this project is to train and test a machine learning algorithm to detect pharmaceutical contaminants in water. Surface nanodroplets will be generated for several key compounds. These, will be used as independent extraction medium with varying contaminant concentration. The large number of droplets will enable collection of a high quality training data […]

Ammonia is the second most-produced chemical globally, most of which is used in the fertilizers industry. Currently, it is synthesized via the Haber-Bosch process operated at high temperature and pressure using a Fe-based catalyst, which contributes to the generation of 420 million tons of CO2 per year. Therefore, researchers worldwide are currently looking for inexpensive […]

Hydroelectric power units are more solicited today than in the past when they were usually operated at baseload. Because of this, their operating conditions include many starts and stops, and partial load conditions, resulting in premature and unpredictable failures. With a digital twin, these units can be properly monitored and accurately modeled in order to […]

Ce projet de recherche vise à concevoir un modèle de prévention du COVID-19 basé sur les techniques d’Intelligence Artificielle (IA) et de l’internet des objets (IoT). Les données physiologiques seront obtenues des dispositifs intelligents et des bases de données virtuelles. Ces systèmes serviront pour le développement d’un outil de mesure et d’observance des indicateurs chez […]

Occupant thermal comfort and ventilation drive the operation of HVAC (heating, ventilation, and air conditioning) systems in buildings, which consume a large portion of their energy use. “Human-in-the-loop” (HITL), a term borrowed from machine learning referring to a synergy between humans and machines, is a data-driven approach that aims to enable human-based controls of the […]

This project will focus on the research areas of smart device monitoring and the analysis of complex medical data in public health. Through the use of artificial intelligence, researchers will develop solutions that exploit large-scale sensor data, address significant challenges caused by global threats by, for example, setting early heat alerts for extreme heat waves. […]

In this project, we will develop innovative AI tools to speed up the process of catalyst discovery, in particular in the domain of renewable energy. Specific catalysts are essential to applications such as the efficient synthesis of solar fuels and fertilizer. However, many known catalysts are suboptimal in their efficacy or require scarce elements. Currently, […]

An organism’s genome contains the information necessary for its development. Part of this information is used as “instructions” for cells to synthesize molecules called proteins, which perform most of the cell’s functions. However, over time, changes to the genomic information can occur. These changes (mutations) can have all kinds of effects: some might cause diseases, […]

Astronomers have long used optical spectra (detailed wavelength-specific measurements of light) to categorize galaxies. A galaxy’s spectrum encodes information about its constituent stars, gas, and dust and its central super-massive black hole (SMBH). SMBHs that are actively accreting, known as active galactic nuclei (AGN) are of particular interest to astronomers interested in SMBH physics and […]

Depuis le début de la crise du Covid, Thales Digital Solutions tente d’adapater une partie de ses algorithmes d’optimisation et de prédiction au domaine médical. Il y aura 2 trames de recherches principales : – les hopitaux et la gestion des salles d’opération – les pharmacies et la précision/gestion des commandes L’objectif principal de la […]