Sycodal Electrotechnique Inc specializes in making intelligent robotics technologies accessible to small and medium-sized businesses through innovative solutions. This project will help Sycodal improve its sales strategies and decision-making processes via a comprehensive sales data analysis and the development of interactive dashboards.

The proposed research focuses on developing a welding system that can be used to create helmet pads and other protective gear, like knee and shin pads. This system will use ultrasonic welding or soldering techniques, making the process more efficient than current methods. The goal is to reduce the time and labour involved in manufacturing […]

The research focuses on development and implementation of advanced software algorithms designed for the automated analysis of skin lesion images. The algorithms will be designed to run on mobile computing devices such as smartphones and tablets, and could be used by the general users as well as doctors for computer-assisted screening and diagnosis of skin […]

Ce projet vise à optimiser de nouveaux marqueurs fluorescents non toxiques pour le marquage et l’imagerie de cellules vivantes par microscopie de fluorescence. Cette optimisation se fera sur la base des propriétés spectrales des molécules fluorescentes, mais aussi leurs propriétés biologiques. L’organisation partenaire, Saguaro Biosciences, commercialise ChromaLive et est pionnière dans le développement de marqueurs […]

In this study, researchers aim to investigate whether canagliflozin, an anti-diabetic agent, can enhance the effectiveness of enzalutamide in preclinical models of prostate cancer (PrCa). Prostate cancer often becomes resistant to current therapies, such as enzalutamide, due to various molecular pathways. Canagliflozin has shown promise in suppressing these pathways in prostate cancer cells and tumors, […]

The specific objective of this project is to compare the accuracy of the Manus Quantum motion capture gloves against traditional hand-held controllers for conducting proactive ergonomics analyses in virtual reality (VR). Digital human model (DHM) hand locations and joint angles will be compared to their ground truth measures derived from laboratory-grade optical motion capture. To […]

Acoustic Ornamentality will study the influence that our built environment has on shaping our local soundscapes and the propagation and attenuation of anthropogenic noise pollution. Malta’s vernacular Gallarija and abundance of architecture constructed of limestone, a porous rock, and renaissance and baroque architecture defined by it’s fine ornamentality and craftmanship offer potential greater attenuation of […]

High capacity battery systems are becoming as important as their smaller analogues which are currently in use in mobile devices. Rechargeable lithium-ion battery packs serve as uninterruptible power supplies or energy stores in electronic vehicles (EVs) and realize the EV technology for many countries. This promotes sustainable development while addressing air quality and climate change. […]

Form Era Studio Ltd. is a Toronto-based fashion brand launched with the aim of addressing a fit problem familiar to approximately 1 in 5 women: waistband gaps in jeans and pants (i.e., 2 or more inches of excess fabric at the waist, when jeans are purchased to fit the hips). Through the completion of a […]

One of the main responsibilities of the Bank of Canada (BoC) is to ensure that sufficient inventories of each currency denomination are maintained nationwide. To achieve this, the BoC operates 39 regional distribution centers (RDCs), each with a specified limit on the total currency value it can hold without incurring penalties. Local banks interact with […]

examine the feasibility of an innovative solution that combines Federated Learning with Deep Reinforcement Learning (DRL) to optimize the selection of edge nodes for model aggregation. Through the proposed DRL-based client selection method, the system can actively select nodes that have shown superior performance based on their training quality, computational resources, and network conditions. This […]

This project will involve developing tools and conducting analyses to improve the efficiency and quality of a quantitative ultrasound (QUS)-based machine learning pipeline. The student will work within a company that uses raw ultrasound image data captured on mobile devices to produce liver health scores (measured in kPa). These scores are used to assess liver […]