Addictive Mobility is a leading online advertising company in Canada. The success of ad campaigns drives the majority of the company revenue. Exploring advanced machine-learning techniques to efficiently control an ad’s performance is crucial to the company strategy. The objective of the proposed project is to optimize the real-time bidding system in the sense that […]

Les espèces végétales exotiques envahissantes (EVEE) ont été identifiées comme étant une menace majeure à la biodiversité du mont Saint-Bruno, une colline montérégienne abritant des milieux naturels d’importance pour la communauté métropolitaine de Montréal. Depuis 2019, la Sépaq, gestionnaire du parc national du Mont-Saint-Bruno qui protège la moitié de ces milieux naturels, a initié des […]

Based on a thorough literature review in the related research areas, the student will create a 3D COMSOL model to simulate the SCR system for the partner organization. The simulation will be combined with experimental testing on the SCR system, with the goal of optimizing the low exhaust temperature operations of the SCR reactor specifically […]

Our project addresses a critical issue within the realm of substance use: the pervasive stigma that extends across the entire spectrum of use. By expanding our focus beyond the severe range, which is often the primary focus in research and policy, we aim to identify and understand the stigmatizing language and experiences faced by individuals […]

A lot of industries rely on solving complex mathematical problems to improve their processes and design their products. Non-linear differential equations are often essential for making advancements. However, solving these equations with traditional computers is extremely challenging and resource intensive. Current computing methods struggle with these complex equations, leading to high energy use, long development […]

Addictive Mobility is a leading (Big Data) online advertising company in Canada. They use real-time bidding (RTB) platform for online display advertising in mobile devices, where multiple companies compete to show a certain Ad to a specific user at a certain time. The goal is to optimize the system such that they minimize the cost […]

This research project focuses on enhancing the genetic characteristics of Spruce species in Atlantic Canada. By analyzing data from various sources and reviewing family lineage, we aim to understand better the factors influencing Spruce growth traits. Through this comprehensive approach, we will propose improvements to breeding and deployment strategies, making them more effective in adapting […]

Reconfigurable intelligent surfaces (RISs) have emerged as a transformative technology in the sixth-generation (6G) wireless communications. The RIS technology can easily be realized in local area networks and disaster management scenarios where ad-hoc local area networks need to be setup to ensure mission-critical connectivity. The objective of this project is to develop the techniques to […]

The manipulation of gene activity in microalgae (cyanobacteria) offers the possibility of producing energy and materials directly from sunlight, water, and carbon dioxide, contributing directly to more holistic modes of food production, innovative bioproducts and reliable bioenergy solutions that reduce human carbon emissions. Despite their recognized potential, it has proven challenging to develop scalable genetic […]

This project aims to evaluate the effectiveness of a wearable ring scanner in improving environmental, economic, and social sustainability specifically in a warehouse setting. By addressing these objectives, this research aims to provide valuable insights into the suitability and sustainability of the ring scanner as a potential means of enhancing warehouse operations. A life cycle […]

The projects consist to apply commercially known colour removal technology to a used plasticizers blend produce in Tarkett vinyl sheet flooring plant. Using a continuous packed bed column, the intern will screen the performance and efficiency of several colour and metals removal resins. Following the colour removal experiments, the effect of adding the treated material […]

The amorphous selenium (a-Se) based active matrix flat-panel imager (AMFPI) has demonstrated promising performance in breast imaging, exhibiting high image quality and dynamic range. However, sensitivity variation due to previous x-ray exposures, known as ghosting, is a common phenomenon in direct conversion detectors, which can lead to the incorrect interpretation of breast images for diagnosis […]