Pipe replacement and rehabilitation optimization method

The research project will develop a pipe replacement and rehabilitation optimization method. The research group is currently developing machine learning models to predict future water main failure. Data has been collected from 13 cities across Canada and represent different conditions and settings. This data is already being cleaned and analysed by a team of graduate […]

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Digital Pre-Distortion for Concurrent Multiband and Multiple Antenna Transmission

The proposed project aims at the design and implementation of low complexity digital pre-distortion (DPD) algorithms for multiband and multiple input multiple output (MIMO) wireless transmitters. The power amplifier (PA) is one of the major sources of power dissipation in wireless base stations. The DPD techniques enable the PA to operate in a more efficient […]

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Boosting Robustness of Deep Neural Networks against Sparsity-aware Adversarial Attacks

Over the past few years, deep neural networks (DNNs) have been used to solve a wide range of real-life problems. However, DNNs are vulnerable to adversarial attacks where carefully crafted input perturbations can mislead a well-trained DNN to produce false results. As DNNs are being deployed into security-sensitive applications such as autonomous driving, adversarial attacks […]

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Distributed Positioning and Formation Management Techniques in a Swarm of Robots

In this project, by considering a team of heterogeneous robots available at the host institution, the intern will develop a trajectory planning method that ensures target enclosure in the presence of noisy measurements. Such a planner will leverage a positioning algorithm developed to take advantage of all the robots’ onboard sensors. Specifically, the objective of […]

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Development of Copper Based Additive Manufacturing Techniques

The goal of the project is the development of copper for Rapidia’s innovative paste extrusion process. Copper is a highly sought-after material with unique properties that has a wide range of applications in various industries including biomedical, electrical, manufacturing, and energy storage. The ability to 3D print copper parts on our system will thus have […]

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ELSTec : Efficient lightweight structures made by automated fiber placement (AFP) of thermoplastic composites

This project deals with the continuation of a project at Concordia University in 2020 via Mitacs Globalink research award. The project investigated different manufacturing scenarios of a thermoplastic skin/grind structure using automated fiber placement (AFP) in the Concordia Center for Composites labs. The thermoplastic skin/grin structure was successfully fabricated via AFP in-situ consolidation. Now, this […]

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Intensification of cell culture process for pandemic influenza vaccine production

More than half a million people die every year from complications of seasonal influenza, and vaccination stands as the most effective method to prevent and limit outbreaks of the disease. Cell culture processes offer a more flexible and responsive alternative for the current egg-based vaccine production systems. Intensification of cell-based vaccine manufacturing focus on the […]

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Conception d’un logiciel pour un système de commande de portes palières (PDI)

Les portes palières sont des portes automatiques, souvent vitrées, que l’on retrouve en bordure de voie au niveau des quais des stations de métro. Elles permettent de séparer physiquement les quais et la voie de métro, dans le but d’empêcher toute intrusion non désirée. Ces portes sont conçues pour s’ouvrir uniquement lors de l’embarquement et […]

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Industriallisation de l’unite de ventilation Hybrid 200

ClairiTech Innovations est impliqué dans la conception, le développement, la fabrication et la vente d’équipements de traitement d’air pour les marchés résidentiels depuis plus de trente années. Dans le cadre de la conception de la seconde génération de notre système de ventilation double noyaux à récupération de chaleur et d’énergie, la phase finale du développement […]

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Personalization of Web Tasking

A web task is defined as the set of services, sessions, and sequence of interactions that are required to perform a certain user objective. The current Web tasking model does not consider user preferences and context when executing a Web task. The proposed research project aims to improve the experience of Web users through personalization […]

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Exploring the threshold of mental health impact on cognition

The objective of this project is to better understand the impact prevalent mental health challenges have on cognition. For this pilot study, neurophysiological electroencephalography (EEG) will be investigated in three different mental health population groups: those suffering from Generalised Anxiety Disorder (GAD), depression, and Post-Traumatic Stress Disorder (PTSD). Portable EEG will be used to assess […]

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Engaging stakeholders to evaluate alternatives in energy system planning through agentbased automated negotiation

The objective of this project is to improve long-term planning of Alberta’s electricity system infrastructure in collaboration with an industry sponsor, Alberta Electricity System Operator (AESO). The project aims at engaging stakeholders in a regional planning exercise in southern Alberta by a detailed exploration of their perspectives when evaluating energy system alternatives. This was identified […]

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