Behavioral Model of Charge-Trap Transistors

Conventional von Neumann architectures rely heavily on communication between memory and compute elements, making them power hungry. In recent years, therefore, neuromorphic computing based on low-power compute-inmemory devices has been gaining interest. One of the essential aspects of such systems is the hardware modeling of synapses that are expected to store weights that represent the […]

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Non-destructive testing of utility poles in service

Wooden utility poles provide safe, economic, easily obtainable means of delivering power, communications, and cable television to the masses of industrial and residential locations worldwide. However, when a pole has been in service for a substantial number of years, its failure becomes more likely. Hence, the proposed project focuses on the strength estimation of in-service […]

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Using artificial intelligence to screen children suspected with listening difficulties

The goal of this project is to create a cutting-edge screening tool for children with listening difficulties, which can have a profound impact on their academic performance, social development, and overall well-being. Despite the current assessment process, which is time-consuming and requires extensive training and experience, early identification and intervention are critical for these children […]

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Distributed Extremum Seeking Control Using Observer-based Methods

In this project, we propose a new technique for controlling the formation of high-altitude balloons. Instead of using traditional high-pass filters, we suggest using high-gain observers to improve the accuracy and effectiveness of extremum-seeking control. Our research on this multi-agent approach aligns with the main objectives of Stratotegic Inc, which focus on the research and […]

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Address key problems in therapeutic interventions using nanomedicine

Ever-increasing complexity of high morbidity rate diseases including infections, cancer, atherosclerosis, has posed significant challenges in delivering active pharmaceutical agents at their intended targets. Polymeric soft nanoparticles based therapeutics have provided an advantageous platform, and have provoked the design of tailor-made nanoarchitectures that can load, target and deliver with high efficiency. Using synthetically articulated stimuli […]

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COSMIC – Software Functional Sizing – AI-NFR-DevOps

Theoretically sound and industry-robust software measures are necessary in industry and research. Functional sizing measures of software, such as COSMIC Function Points – ISO 19761 – are useful for the quantitative planning, monitoring, control, and objective assessment of software projects and organizations. Through this project, the COSMIC Group will adapt this international measurement method to […]

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An integrated and adaptive study examining central and peripheral mechanisms of chronic pain in knee osteoarthritis patients

It has been estimated that 300 million people worldwide have osteoarthritis (OA) and this has increased by 97% over the past 25 years. The pain and loss of mobility experienced by people with knee OA can seriously reduce quality of life, while pain management causes significant healthcare spending. Unfortunately, the pain associated with OA is […]

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Gestion innovante et durable des eaux souterraines à Saint-Hippolyte dans un contexte de développement résidentiel

La ressource en eau souterraine est la source d’alimentation en eau potable de la Municipalité de Saint-Hippolyte (QC). Le développement du territoire ajoute une pression additionnelle à la ressource en eau souterraine et Saint-Hyppolite vise une gestion durable de cette ressource. Le projet vise à créer un observatoire de la ressource en eau souterraine dans […]

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Evaluating the effect of abrasive waterjet machining on 3D printed composites for repair applications

The research project aims to evaluate the potential of using abrasive waterjet machining and additive manufacturing in composite repair as a sustainable, circular economic strategy. The study will investigate the effectiveness of abrasive waterjet machining on additively manufactured composite specimens, assess the quality of machined surfaces, and simulate composite repair scenarios in a laboratory setting. […]

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Machine learning applications to digital rock mechanics data

In rock engineering practice there is often insufficient time, schedule, and computational/expert resources to investigate complex rock mass phenomena in detail. The large amount of multivariate data that characterizes complex rock mass behaviour creates the ideal conditions to use machine learning. Machine learning allows for the use of all relevant data and can inform the […]

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Quantification de l’endommagement dû à la méthode de perçage

Les composites et le titane sont de plus en plus utilisés en aéronautique, mais sont difficiles à percer. Le perçage des deux matériaux dans une seule opération représente un défi supplémentaire puisque la méthode et les paramètres idéaux diffèrent. L’identification et la quantification d’un critère d’endommagement avant des essais en tension percée et en tension […]

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COSMIC – Functional Sizing of Quantum Software

Theoretically sound and industry-robust software measures are necessary to identify and select the most productive software development organizations (internal and external) and avoid significant overspending on software investments. Functional sizing measures, such as COSMIC Function Points – ISO 19761 – are necessary for the quantitative planning, monitoring, control, and objective assessment of software projects. Huge […]

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