Innovative Projects Realized

Client Success and Educational Resource Creation

Diversio is a company that specializes in providing Diversity, Equity, and Inclusion (DEI) platform solutions and services. Founded in 2018, Diversio is dedicated to aiding its clients in fostering optimal culture and business outcomes by emphasizing DEI investments.

The company’s growth and success are largely dependent on its ability to attract new clients and effectively cater to their distinct needs. A significant challenge and opportunity lie within client acquisition, support, and relationship management areas. This project aims to enhance Diversio’s capabilities in welcoming new clients and maintaining enduring relationships, ensuring their specific requirements are addressed. Furthermore, the intern will bring innovation to client engagement processes, as well as to the development of new products and services through process optimization and the introduction of novel offerings.

For more information about Diversio, you can visit their website at Diversio’s About Page.

L2M AthleteAid

Our solution, AthleteAid is an mobile-app based service which compiles tried and tested medical decision rules and advice into a condensed, easy to follow step by step protocols. These protocols will alleviate stress and provide guidance for parents and coaches making decisions as well as reduce the amount of costly and unneccearry hospital trips. Using AthleteAid will also set Athletes on the pass of the most optimal and rapid recovery making their return to sports as safe as possible. With payment of a subscription fee teams will get access to an entire seasons worth of medical information and advice.

When a player gets injured, the designated team volunteer or parent will log on to our app and pick the injured area from an anatomy-labelled body. Our app will then ask a few baseline questions and based on their answers, will continuously lead them down a personalized string of questions. Finally, once we have a better understanding of their injury, we will provide them with a return to play decision, potential diagnosisis, immediate recommendations/suggestions to alleviate pain and reduce worsening of the injury, and a personalized rehabilitation plan.

research on 3D software user interface design

How to define user requirements accurately and design user interface appropriately have been a very active research area concerned with human-computer interaction and graphic design. Because of the scale and the complexity of three-dimensional (3D) animation software, making correct design decisions becomes tougher. Houdini is a 3D animation software as well as the main product of Side Effects. Using 3D animation software is always very challenge for users. It requires longer learning curves as well as interdisciplinary knowledge. With the increase of usage time, users become familiar with the functions and layout of Houdini and they turns out to be expert users. On the other hand, the apprentice users may carry experience from other 3D animation software or have no experience with any similar software. The conflicts between expert users and apprentice users emerge from the different requirements and expectation of Houdini. This research project will help Houdini to setup a standard design process including collecting data, extracting user requirements and making design decisions.

L2M–SOASIS

Mental health remains a significant concern in North America, youth mental health is a particular focus due to academic pressure, social media use, and bullying.
SOASIS offers a physical meditation pod and a cellphone application for users to take a short break or customized self care experience, combining AI technology to simulate a holistic user-friendly meditation experience, to promote the awareness and levle of mental health wellbeing for college students in North America.

L2M-Willow

While online will generators have gained popularity, the process of creating and storing a will remains complex, time-consuming, and insecure. The lack of robust security measures for these digital documents can create significant challenges during probate proceedings, compounding the distress for those already grieving. Willow offers a secure and streamlined solution, with software that simplifies the process of drafting a will, ensuring it’s legally compliant and tailored to the user’s needs. Once created, the will is stored digitally in a tamper-proof manner, yet remains accessible to designated individuals, facilitating a smoother probate process. By addressing the pain points of the current will creation and storage landscape, Willow aims to provide a more efficient and trustworthy alternative for those looking to document their final wishes.

L2M – Daku Tech Personal Locator Beacon

Our project’s specific idea of developing an advanced personal locator beacon (PLB) tailored for commercial fishermen holds immense potential benefits for Canada. By enhancing the safety and security of fishermen navigating the country’s vast and often treacherous waters, our innovative PLB technology has the potential to significantly reduce the alarming rate of occupational injuries and fatalities within Canada’s fishing industry, ensuring the well-being of its workforce and contributing to the sustainability of this crucial sector of the Canadian economy.

Utilizing Soybean Yellow Mottle Mosaic Virus as a Genetic Manipulation Tool for Genome Analysis in Fabaceae Plants

The research aims to identify key viral proteins through comprehensive genome analysis of plant viruses including soybean viruses, and to engineer virus vectors capable of modulating host gene expression. Specifically, the study will focus on developing a technology for targeted delivery of the CRISPR/Cas system into soybean cells with enhanced efficiency.

Recyclability of medical plastic disposables

Optimizing Dynamic Graph Operations of a Large-Scale Network Analysis Tool

Cost-effectiveness of a synchronized care clinic for cardiometabolic therapies

Patients with type 2 diabetes are at greater risk for cardiovascular disease, including stroke or heart failure. Newer medications can improve cardiometabolic health for patients with diabetes. But many clinicians are not yet comfortable prescribing these guideline-directed medications, and other clinicians are only comfortable after patients see several specialists. As a result, many patients do not receive guideline-directed medications, while others face long delays in beginning therapies. At the McGill University Health Centre, an innovative quickly and safely initiate guideline-directed therapies. In this new model, patients see three specialists at each appointment to efficiently adjust other medications and ensure safe initiation. In this project, we will use a simulation model to estimates outcomes for diabetes patients with and without guidelinedirected therapies. Using the model, we will estimate the clinical benefit and cost-effectiveness of this synchronized care model for patients with type 2 diabetes.

3D organoid model: a new window in research of neurodegenerative disorders

Selective Compression of Live Digital Video Frames for Power-friendly Wireless Transmission and Efficient Reconstruction

The project is aimed at implementing real-time processing techniques for video acquisition, compression and transmission. The project focuses on defining solutions in order to solve constraints within the system related to bandwidth and the battery energy of the sensor. Depending on the application, the acquisition and compression procedures could be based on extracting significant features and compressing them in a lossless fashion followed by data transmission over a wireless channel. The real-time transmission of data within the available bandwidth would be implemented so as to maximize the battery life while transmitting enough bits over the channel for an accurate image reconstruction. Specially tailored schemes for image recovery would be investigated such that the reconstructed image at the server and those streamed to the authorized end users would meet a certain high level quality. Furthermore, the algorithm would be automated to make it more adaptable under various conditions. These processes are relevant to the development of real-time machine vision sensor devices which have goals of energy conservation and ease of technological use.