Innovative Projects Realized

United Way Digital Archives Project

The Saskatoon United Way has worked for over sixty years to create change in the city of Saskatoon, making lives better for all city residents. The organization works to change the lives of vulnerable children, youth and their families so they have the means to thrive as strong citizens in the community. They work to combat issues including mental health, poverty, homelessness, and racism.
The United Way provides funding for long and short-term change, investing in local programs and organizations to meet the needs of those most vulnerable. To achieve long-term change, the United Way participates in research, strategy development, investments, partnerships, evaluation, and advocacy.
Approaching its 65th anniversary, the organization is looking to better examine its organizational history. The United Way is partnering with the University of Saskatchewan History Department’s CoLab – Centre for Community-Engaged and Collaborative Historical Research (CoLab) to review and document its organizational history, highlighting the organization’s significant contributions to the lives of Saskatoon residents.

Optimisation de l’Efficacité et de l’Efficience de l’espace d’administration des Accorderies du Québec pour une Expérience Utilisateur Améliorée

Facilitez votre Engagement Communautaire : Découvrez le Nouvel Espace d’Administration des Accorderies du Québec ! Êtes-vous prêt à vivre une expérience communautaire plus fluide et enrichissante que jamais ? Nous avons le plaisir de vous présenter le tout nouveau “Espace d’Administration” des Accorderies du Québec, conçu pour vous offrir une expérience utilisateur optimale !

La simplicité d’Utilisation du nouvel espace membre repensée vous permet de naviguer en toute simplicité, que vous soyez un utilisateur expérimenté ou que vous découvriez l’Accorderie pour la première fois. Cette navigation permet de gagner du Temps, car l’efficacité est notre priorité ! Grâce à des processus optimisés, vous pouvez effectuer vos tâches administratives en un temps record, vous laissant plus de temps pour ce qui compte vraiment. Chaque personnalisation intuitive est adaptée à l’espace d’administration selon les besoins spécifiques. Personnalisez les paramètres pour une expérience qui vous ressemble. La collaboration devient plus facile, elle permet d’interagir en toute simplicité avec d’autres membres, de partager des informations et de collaborer sur des projets communs pour renforcer votre communauté.

Automated Robotic Systems for Parallel Material Handling and Characterization

Chemia is a material discovery company that aims to improve its material handling and characterization processes by developing innovative automation and robotics solutions in this project. The initiative is set to enhance Chemia’s capabilities in developing innovative functional materials, focusing on developing more efficient CO2 capture and waste heat recovery technologies. This project is particularly geared towards overcoming current limitations in manual material transportation and the lack of parallelization in experimentation processes. By introducing automation, Chemia seeks to increase the throughput of material experimentation significantly, enabling the simultaneous handling of several samples across various experimental platforms. The intern aims to design, assemble, and program an automated system that is both scalable and compatible with Chemia’s technological needs. Furthermore, the project emphasizes the importance of programming and electrical planning, ensuring that the system can adapt to different environmental conditions within the testing framework. The expected outcomes include a comprehensive automation solution capable of managing material processes from synthesis to analysis, a robust electrical system for precise control and safety, and detailed documentation to support future scalability and maintenance.

The Implementation of new technology initiatives to increase company and client efficiency and productivity

Marketing Kitchen is looking to introduce new technologies to their direct mail business to ensure future growth and expansion but to do this we need assistance from highly skilled co-op students who can help us with the research, development and implementation. Specifically we are targeting the use of QR code wearable scanners across multiple departments, an on-line Client Service Portal to streamline job orders and improve project management and client service levels and Cobots (collaborative robots) to our warehouse that can undertake basic and repetitive projects to support our busy fulfillment team. All three successive projects will help improve internal company productivity and efficiency and increase and enhance the service levels we provide to our clients. In taking these proactive steps, our processes will become more robust, time spent on jobs reduced, quote accuracy increased and our financial footing more secure. In so doing our genuine belief is that we can grow both our client and employee base, offer great learning experiences for the students who work with us and ultimately safeguard our future in an increasingly competitive print production market.

Creative expression and mental well being of Syrian refugee children living outside of settlement camps in Istanbul

The present study will examine the influence creative expression can play on the mental well being of Syrian refugee children living outside of settlement camps in Istanbul. Drawing and storytelling activities are purposed to work as psychological first aid for refugee children to nurse from their trauma. Our main objectives will be to provide space and tools to allow children relate to their refugee experience, encourage interaction and cohesion among children and use the results to reflect on the role of community based interventions for the mental well being of refugee children in transitioning and unsettled situations. At the end of this project, we hope to provide results that will lead future research with comprehensive community based strategies and help participating children with their healing process

Semi supervised learning for prostate cancer diagnosis on MRI using radiology reports and large language models

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

Diffusion Based Generative Modeling for Robotic Grasping

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

Conception, fabrication et programmation d’un drone autonome capable d’atterrir sur la canopée pour l’acquisition de données en forêt tropicale.

L’objectif du projet est de produire un drone capable d’atterrir de façon autonome dans la canopée pour y transporter des charges utiles permettant de récupérer des données sur l’environnement. Des technologies novatrices, comportant une partie mécanique et informatique, sont nécessaires pour y arriver. Premièrement, un train d’atterrissage doit être développé pour protéger les hélices des branches sans affecter les caractéristiques de vol du drone. Il doit aussi permettre au drone d’être stable au repos dans la canopée. Ensuite, un algorithme de vision basé sur une caméra apte à percevoir la profondeur doit être développé pour détecter une zone d’atterrissage sécuritaire dans le feuillage. Ces deux éléments sont finalement combinés à des technologies de contrôle existantes pour effectuer des manoeuvres d’atterrissage autonome sur la canopée des forêts tropicales.

Effectiveness of Sophia Recovery Centre’s Lotus Pond Program

The present study will examine the effectiveness of the Sophia Recovery Centre’s Lotus Pond program in terms of outcomes for Sophia Guests on measures of well-being, quality of life, and substance use behaviour goals, the quality of peer recovery support experienced by Sophia Guests, and the efficiency of Sophia Peers at providing peer recovery support. The study will also compare characteristics of Sophia Guests who remain in the Lotus Pond program to those who withdraw. Findings from this study will be used to improve Sophia’s peer recovery support process.

Concept d’opération pour améliorer le processus d’optimisation de l’efficacité énergétique pour l’ensemble du cycle de vie du bâtiment

L’objectif principal du projet de recherche est de développer une approche d’optimisation de l’efficacité énergétique d’un bâtiment à chaque étape du processus de conception à l’aide de la simulation énergétique. Ceci dans le but d’assurer une meilleure conception des bâtiments futurs à l’aide de données recueillies dans des bâtiments existants similaires en formulant des recommandations pour la conception. L’approche proposée vise à améliorer les pratiques de l’entreprise partenaire en offrant un support au niveau de l’approche de simulation. Les retombées pour l’entreprise partenaire sont les suivantes :
? Amélioration de l’utilisation des outils de simulation énergétique.
? Aide de prise à la décision par rapport au processus d’optimisation à préconiser pendant la conception.
? Aide à la prise de décision et l’élaboration de solutions concertées, concrètes.

Machine learning model for corrosion detection and assessment for pad mounted equipment

Corrosion of electrical utility infrastructure represents a major operational challenge that currently relies on labor-intensive manual inspections. This project aims to develop an automated machine learning system to detect and assess corrosion using publicly available street-level imagery, enabling frequent, low-cost monitoring across the distribution network. The proposed methodology will leverage recent advances in object detection and semantic segmentation. Upon successful development, the corrosion detection system will be integrated into EPCOR’s asset management workflow. Automated analysis of public imagery can provide frequent, low-cost monitoring to prioritize field inspections and maintenance activities. Reducing operational costs while extending asset life represents major potential cost savings for the utility industry.

Optimal motion planning under kino-dynamic constraints

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