Innovative Projects Realized

Validation d’un procédé a ultrasons pour la destruction de mousses

Sanexen un membre de la famille LOGISTEC est un fournisseur de solutions environnementales de premier plan depuis 35 ans. Grâce à la restauration de sites, les projets majeurs, les infrastrustures, la gestion des sols contaminés et matières résiduelles ainsi que les technologies de l’eau Sanexen continue d’offrir des solutions innovantes à sa clientèle industrielle et Municipale, ainsi qu’à d’autre entités gouvernementales. Les ingénieurs et scientifique de Sanexen, de concert avec l’équipe interne de recherche et développement, continue d’explorer et de mettre en place de nouvelles technologies pour faire face aux problèmes environnementaux sans cesse grandissants. Au cours des dernières années nous avons développé un procédé de traitement des eaux contaminées par des polluants persistants tels les composés per-et polyfluoroalkylés (PFAS). Ce procédé utilise entre autres le principe de « Foam fractionnation ». La nature des PFAS fait qu’ils s’accumulent à l’interface eau-air des bulles d’air qui, en remontant vers la surface, créée une mousse à la surface de l’eau dans les réacteurs où se fait le traitement. Cette mousse, concentrée, doit être recueillie, liquéfiée puis disposée. L’étape de liquéfaction (Ie rabattage des mousses) dans les conditions d’opération utilisées représente un défi technique.

Environmental Educator Assistant

With CPAWS, I will work raise awareness of the conservation efforts and to facilitate opportunities for citizens to become involved in conservation efforts in Manitoba, by doing outreach at special events. I will also assist in the delivery of an outdoor learning program to help nuture a fun and involving learning environment for children in their own playgrounds where they feel comfortable. This includes curriculum development and leadership roles. Finally I will help support the expansion of the Outdoor Fun events which provide meaningful opportunities to connect Manitobans to nature. In this role I will assist nature based workshops and delivery of outdoor excursions.Overall, this project will help Manitoba’s youth recover from Covid-19 pandemic, decrease screen reliance, create connections with nature, raise awareness of the need to protect land and help increase the impact of CPAWs.

Fort McKay Photo Archive Project

The Fort McKay Métis Nation (FMMN) is the self-governing Métis Nation representing the interests of Métis people in the community. Members of FMMN are concerned about the cumulative impacts of industrial development on the land, air, water and wildlife in the Fort McKay area. As active users of the land, community members have intimate knowledge of the local ecosystems, rivers, water-bodies and wildlife populations and are eager to contribute this knowledge to address and prevent environmental impacts. Furthermore, the pace of industrialization has altered the local landscape and ecosystem upon which the practice of harvesting rights depends. FMMN members are eager to document their knowledge and traditional use of land within specific project sites in order to protect the community’s heritage, cultural and historic resources, and Aboriginal rights.

One of the ways that the Nation citizens can document their long history in the region is through community artifacts including historic photos, documents, videos, beadwork and other family heirlooms. The goal of the project will be to document the existence of the community collections and, where possible and relevant, collect stories related to those items.

Integrated engineering using web computing platform

ASETS-CA Inc creates software for engineers and launched a first of its kind cloud based Integrated Design Suite™ (IDS™). IDS™ is a multidisciplinary CAD, simulation & engineering design platform that helps Engineering Procurement Construction (EPC) & end owners companies accelerate their early-stage engineering 10X faster. Customers using IDS™ benefit from the rapid deployment of engineering resources lowering effort time and costs related to engineering projects. ASETS anticipates parallel projects from US & Canada based in the next forthcoming weeks and this project would effectively benefit ASETS in effective validation phase with customer.

Imitating Artist’s Brushstroke Style by Machine Learning Methods

Acrylic Robotics is a robotics startup based in Montreal, on a mission to use technology to make fine art accessible to the general public. To make fine art accessible, this project focuses on the implementation of a larger robotic arm to recreate artists’ artworks at scale. The intern will be responsible for the development of painting functionality for a new robotic arm, refinement of the robotic painting output, and pilot testing of the robotic system with both internal and external clients. To increase the quality of the paintings, brush strokes should be similar to humans. For this reason, we want to integrate the original artists’ style by collecting brushstrokes (hand brush motion) samples and training a generative model. In other words, after collecting data from artists, a stylized brushstroke generator model will be trained to improve the quality of the paintings. The intern will use their expertise to implement complex control algorithms to recreate the delicate movements of a painter with large robotic arms. The intern will work with both clientele and company personnel to ensure that all desired needs of the client are understood and further translate these needs into control functionalities within the robotic capabilities.

Développement d’un prototype de masque de photolithographie à micro-pixels actionnables (II)

Développement d’un photo-masque pour lithographie digitale dans les procédés de micro-fabrication de semiconducteur.

AI/ML-Driven Optimization of Perioperative Program Workflow: A Data-Driven Approach to Scheduling and Resource Management

We are unlocking existing surgical capacity using technology. Our solutions equip hospitals and clinicians with the insights to optimize surgical workflow and manage future performance with foresight. Behind Sifio’s empowering platform, we’re healthcare partners who combine advanced business science and operational analytics with technology to make a difference. We know that the ultimate goals are to deliver better outcomes, improve the clinical experience, increase sustainability, and enhance patient accessibility. But the chronic obstacles we see in the perioperative workflow (like staff burnout, patient backlogs, and increased costs) are connected to a lack of consistent and reliable information to guide actionable improvements. Our decades of leadership in workflow optimization for healthcare across North America and Europe showed us it is possible to enable collaborative ownership of better healthcare delivery through predictive analytics.

Service Delivery Process Review & Enhancement

Conduct a comprehensive review of Operating Processes related to the provision of the Company’s monthly inventory optimization SaaS program, identifying ways in which timelines can be compressed, process steps eliminated and level of effort reduced.

Identify ways in which alternative technological solutions can be employed to automate repetitive steps and/or error proof recurring activities.

Implement a Business Intelligence approach that provides clients with a “Self Serve” option for Data Visualization that reduces the need for time consuming report generation activities.

Supporting company growth initiatives through data reporting, data quality monitoring, and proactive issue identification. Designing and writing SQL queries to help define core business metrics and evaluate company performance.

Supporting company growth initiatives through data reporting, data quality monitoring, and proactive issue identification. Designing and writing SQL queries to help define core business metrics and evaluate company performance.

Price Optimization and Recommendations Engine

This project aims to help clients achieve their growth goals by leveraging AI and associated techniques to address their business challenges.

These challenges such as increased customer churn across all segments. We aim to develop a tool and an algorithm that can predict churn based on identifying the leading indicators for churn in each segment. By doing so, we will equip our clients with tools for identifying and proactively acting to reduce churn, ultimately helping them retain customers and achieve their growth goals.

To achieve this, we will analyze the data available on the client’s platform and use AI and associated techniques to identify patterns and leading indicators for churn. We will then develop an algorithm that can predict churn in each customer segment and provide our client with tools for identifying and addressing these issues.

This will involve working closely with the client to understand their needs, providing regular updates on our progress, and ensuring that the final product meets their requirements. Through this project, we aim to gain valuable experience in using AI and associated techniques to develop solutions for real-world business problems.

AI/ML-Driven Optimization of Surgical Clinician Schedule

We are unlocking existing surgical capacity using technology. Our solutions equip hospitals and clinicians with the insights to optimize surgical workflow and manage future performance with foresight. Behind Sifio’s empowering platform, we’re healthcare partners who combine advanced business science and operational analytics with technology to make a difference. We know that the ultimate goals are to deliver better outcomes, improve the clinical experience, increase sustainability, and enhance patient accessibility. But the chronic obstacles we see in the perioperative workflow (like staff burnout, patient backlogs, and increased costs) are connected to a lack of consistent and reliable information to guide actionable improvements. Our decades of leadership in workflow optimization for healthcare across North America and Europe showed us it is possible to enable collaborative ownership of better healthcare delivery through predictive analytics.

Automating interaction between Grain Management Software

VeriGrain™ Sampling Inc. (VeriGrain) is an AgTech firm who has created a farm inventory data management system. They solve a substantial problem in the food chain which results in grains being undervalued, under- utilized, and untraceable. VeriGrain requires the ability to connect to third party agricultural software so that their customers do not need to enter the same data into multiple different software packages. Integrating with third party software can be a very time-consuming process. The goal of this project is to develop a semi-automated means of establishing integrations with various agricultural software products and VeriGrain’s grain inventory management system.