Unlike in lossless compression, the decoder in a lossy compression system has flexibility in how to reconstruct the source. Conventionally, some measure of distortion such as mean squared error is used as a quality measure. Accordingly, lossy compression algorithms are analyzed through rate-distortion theory, wherein the objective is to minimize the amount of distortion for […]

À travers l’étude de la pratique de la boxe par les femmes, mon travail vise à interroger le caractère dépossédant de l’essentialisation de la violence féminine, particulièrement l’assignation des femmes à l’a-violence, et à reconnaître en elles des actrices capables de mobiliser leurs corps pour se défendre, voire agresser. Ma recherche vise également à questionner […]

The growing demand for mobility worldwide and the mass use of internal combustion engine drive systems poses major challenges for today’s society. Currently, the CO2 content in the atmosphere is continually increasing and the concentrations of pollutants in many areas exceed the maximum permissible limits in many urban centers. Additionally, these engine emissions contribute significantly […]

The project I will undertake at the University of Amsterdam is part of my joint doctorate with Université de Montréal. During the proposed period of project, I plan on: 1) interviewing subjects in the context of a reception study (i.e., a number of viewers of Netflix’s Criminal; the television content I selected as my thesis’s […]

McMaster University is collaborating with National Research Council Canada (NRC) under the AiP program of NRC, to develop smart textile technology that will integrate energy components into textile wearable products to provide daily and on-demand physical stimulus to the aged wearers. It aims to slow down or prevent the development of age-related health problems. The […]

The issue of removal of CO2 from diluted streams is challenging due its low concentration which makes the cost of capture significantly high. The development of material that has high CO2 capacity at low concentrations can help to decrease the overall cost of CO2 capture. The novel approach in the design of solid sorbents proposed […]

Depuis le début des années 2000, plusieurs éléments ont participé, à ce que je présente comme étant, la reconfiguration de l’espace de la cause antiraciste en France et Québec, tel que, la rupture avec les formes plus institutionnalisées de lutte contre le racisme, ainsi qu’une recomposition sociologique des nouvelles organisations qui sont portées par des […]

The broad line region (BLR) dynamics of active galactic nuclei (AGNs) is crucial to measure the mass of supermassive black holes (SMBH) in the distant Universe. Assuming that the BLR is virialized, the reverberation mapping (RM) technique has been used for decades to resolve the size of the BLR based on the time lag of […]

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 […]

Sequestration of atmospheric and industrial CO2 through carbonation of reactive waste minerals is a proven method for curbing emissions from the mining sector. Carbonation technologies have also been shown to be effective at reducing potentially toxic metal mobility in alkaline mine wastes. However, the molecular scale mechanisms of metal cycling associated with mineral transformation reactions […]

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 […]