Projets novateurs réalisés

Special Needs Digital Service Development

The project, set to unfold over the summer, involves the integration and development of Artificial Intelligence and database systems into the organization’s current IT infrastructure. This initiative aims to usher the organization into the next technological era. The specific focuses include streamlining data access, improving data flow, and enhancing information retrieval. These efforts are intended to initiate the automation of generative processes, as well as to foster insight-driven actions within these organizations. Consequently, this will liberate professionals’ time, allowing them to concentrate on tasks more directly related to the organization’s specific line of work.

Reinforcement Learning for Micro-Grid Control and Optimization

This project aims at optimizing the use of energy in micro-grids. Reinforcement learning, a branch of artificial intelligence, will be used to reduce the consumption of fossil fuel by better deciding when to charge or discharge batteries. Using reinforcement learning for this automated decision making problem could be interesting as it should allow to handle factors of difficulty that other types of methods struggle to deal with. For example, it should be able to cope with more complex micro-grids, or to better handle uncertainty in the systems predicting the future demand. A key focus of the project is to demonstrate the ability of reinforcement learning to be deployed on real world industrial cases where reliability and respect of industrial standards are critical.

How to Market Blockchain Powered Insurance Vehicles in the North American and Bermudian Markets

This project involves hiring an intern at Penrose Partners to develop and execute innovative marketing strategies for a client specializing in integrating digital assets into the insurance sector. The intern will undertake comprehensive market analysis, devise targeted marketing approaches, and produce educational content to enhance the client’s visibility and engagement within the industry. The expected benefit for Penrose Partners is to solidify its position as a leader in blockchain consultancy by effectively supporting its client’s growth and demonstrating its capability to drive innovation and adoption in specialized markets.

Programme intelligent de classement tarifaire des marchandises

Notre client gère la classification tarifaire des marchandises pour plusieurs clients. Ce processus, actuellement réalisé de manière manuelle, est à la fois complexe et chronophage, nécessitant une expertise spécifique rare et onéreuse. De plus, la nature manuelle de ce processus augmente le risque d’erreurs humaines, pouvant entraîner des conséquences financières importantes. Des erreurs dans la classification conforme aux normes gouvernementales peuvent, par exemple, aboutir à des sanctions financières significatives pour notre client et ses clients, en relation avec les lois fiscales et les impôts à payer. L’objectif principal de ce projet est de concevoir et livrer une solution logicielle basée sur l’intelligence artificielle, qui vise à réduire la dépendance aux ressources humaines spécialisées dans le processus de classification des transactions. L’ambition est d’atteindre, à terme, une précision supérieure à 85% dans l’analyse et l’interprétation des documents par les algorithmes de l’IA, ainsi que dans la pré-remplissage automatique des formulaires correspondants. Cette solution doit être dotée d’une interface utilisateur à la fois intuitive et facile à utiliser, afin de faciliter son adoption et son utilisation quotidienne par les utilisateurs.

High Efficiency RFIC Power Amplifier

The energy consumption by Radiofrequency Integrated Circuit Power Amplifiers (RFIC PAs) in mobile handsets is a major factor determining the battery life of this equipment. Any increase in the power efficiency of RF PAs will reflect significantly as an increase in the battery life of the portable wireless devices. This work addresses the need to improve the energy efficiency performance by controlling the RF PA section in a fashion that results in the minimum current consumption as a function of the transmitted power level. Although this type of hardware reconfiguration has been proposed in the literature, the techniques proposed so far are activated at discrete power thresholds. The PA reconfiguration that will be implemented in this work will operate continuously over a certain power range, which is expected to improve the overall energy efficiency performance. This will translate into Skyworks Solutions’ RFIC PA components that will be more attractive to the developers of mobile communication equipment

Élucidation des rôles de la voie hippo dans les adaptations physiologies de l’utérus bovin sous l’effet de l’oestrogène et de la progestérone dans un modèle in vitro d’explants utérins bovins

Une bonne compréhension des mécanismes impliqués dans la physiologie utérine normale est essentielle pour améliorer l’efficacité de la reproduction dans la production animale. L’utérus bovin est un organe dynamique dans lequel diverses adaptations morphologiques et physiologiques sont observées tout au long du cycle de l’œstrus, en particulier sous l’effet de la progestérone et des œstrogènes. La voie de signalisation Hippo régule certains processus tels que la prolifération, la différenciation et le destin cellulaire. La dérégulation de cette voie de signalisation conduit au développement de maladies. Notre hypothèse est que la voie Hippo, exprimée dans l’utérus bovin, contribue à la régulation physiologique normale de l’utérus sous l’effet des principales hormones sexuelles. Et qu’un modèle d’explant d’utérus bovin serait une alternative efficace pour étudier ces fonctions. Ce projet est une composante essentielle du programme de recherche du Dr St-Jean, qui vise à mieux comprendre les différentes voies de signalisation qui régulent le fonctionnement de l’utérus bovin. Il s’agira de la première collaboration et du premier échange d’étudiants du Dr Ubiali avec le Canada. Cela lui permettra d’acquérir de nouvelles techniques qui pourraient s’avérer utiles pour de futurs projets de recherche. Et de développer une collaboration avec le Canada.

Développer des pratiques innovantes pour le CHUM en intégrant des outils d’automatisation par la robotisation dans la révision de processus d’attribution des rendez-vous en radiologie

Accompagner la réalisation de mandats en amélioration continue par l’intégration d’outils permettant l’automatisation de tâches ou activités dans la planification des rendez-vous dans le secteur de la radiologie.

Muhaimin Pandhiani – LysisLogic

The proposed project by LysisLogic Scientific Inc. aims to create a strategic blueprint for two of its innovative technologies. This initiative will align scientific research with business strategies to accelerate the technologies’ journey from the lab to the market, based on comprehensive market research that identifies industry trends, opportunities, and growth areas. The outcome will be a detailed business roadmap and strategic recommendations that will make our innovations ready for investment and practical use. These developments will drive growth and maintain our competitiveness in the energy and environment sectors.

Creating a Best in Practice Athlete Services Program for Canadian Paralympic Athletes

The Canadian Paralympic Committee’s vision is to be the world’s leading Paralympic nation. Its mission is to lead the development of a sustainable para sport system in Canada to enable athletes to reach the podium at the Paralympic Games. In 2023, the CPC launched its new strategic plan which will guide the organization over the next decade as the CPC prioritizes becoming the best prepared team driven by a healthy culture of excellence with an emphasis on positive experiences and well-being. The noted accelerators to accomplish this strategic goal are collaboration with athletes and investing in innovative approaches to athletic development and nurturing necessary support systems. Specifically, the CPC is interested understanding, improving, and data tracking the best practices in training and development, coaching and support teams, financial support systems, holistic wellness programs and athlete support during major events (e.g., family and friends programs.

As outlined in its strategic plan, the CPC wants to extend its successful innovative lens to preparing Canadian athletes and those close to them succeed on the international stage. Therefore, the key objectives of this internship is to assist the CPC in gathering the insight to one develop a data tracking tool to achieve its strategic goals of becoming the best prepared Paralympic team and two create and pilot a best in practices support program.

GFIT

The general objective of this project is to provide an update to the GFIT application that will include the following:

The ability to automatically send the user a receipt to use for insurance.
To develop the integration between workout logs and workout plans.
To integrate the digital clinic with a direct booking system.
The ability to sync the GFIT app with wearable devices and receive notifications.

Design and Development of Azure cloud-based e-billing Web application for an Electronic Medical Record software

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

Development and Validation of Optimized Bioprinted 3 D Psoriatic Skin Models

Psoriasis is an inflammatory chronic skin disease for which we skin models to study.
Dr. Roxane Pouliot (academic supervisor) group at University Laval (Quebec) has previously developed a human psoriatic skin model using skin cells to which lymphocytes (from human blood) have been added. The goal of this project is to further optimize the skin model in collaboration with Axolotl Biosciences (the industry laboratory partner, British Columbia).
We will use cells from skin and blood to build a skin model of psoriasis using the technique of bio printing at the industrial partner (Axolotl Biosciences) lab. Axolotl Biosciences envisions delivering innovative products that enable the 3D bioprinting of humanized tissue models for advancing medicine. The challenges Axolotl Biosciences aims to solve through this project is to apply their techniques and expertise to contribute to the optimization/improvement of the human skin model developed at the laboratory of Dr. Roxane Pouliot.
This would allow us to develop a new model and validate it to study Psoriasis. This optimization will lead to a new generation of psoriatic skin models to study the disease pathogenesis, prognosis, and test potential therapeutic options. Results will be published and presented/publicized during scientific events.