This project aims to develop a portable and cost-effective microfluidic electrochemical sensor (MES) for detecting heavy and critical metal ions in water, including lead and lithium. The innovation integrates advanced microfluidics and electrochemical sensing to achieve on-site, real-time detection of contaminants, reducing the reliance on expensive and time-consuming laboratory methods. By leveraging low-cost fabrication techniques, […]

This project focuses on advancing the commercialization of a Sustainable Decision-Making Framework (SDMF) by refining an interactive Bayesian Belief Network (BBN) model. The goal is to enhance the tool’s ability to visually represent decision pathways, making it more appealing and functional for potential customers. The project includes creating a Business Model Canvas, conducting a market […]

The industry-standard tunable diode laser (TDL) has a limited tuning range (only a few nanometers), and the output wavelength can only be adjusted thermally which is a slow process. Applications requiring faster tuning, utilize some sort of mechanical element, some systems utilize Microelectromechanical systems (MEMS) technology but these are all still mechanical in nature and […]

Market Research for the Detection of TBI Biomarkers using Nanobiosensors

Multi-physics considerations are important for many engineering applications. For example, we may want to know at what rate heat is transferred between two different systems or how a fluid and solid interact with each other for applications such as turbo-machinery, parachutes, or blood flow through an artery. Engineers often rely on numerical methods to solve […]

Can the refinement of existing drone image acquisition and processing steps lead to improved absolute accuracy of calibrated radiometric thermal orthomosaics in order to more accurately identify salmon thermal refugia?

This project will develop an intelligent tool that helps protect computer networks from cyber-attacks. Cyber-attacks are becoming more advanced and harder to detect, so traditional methods often miss new, unknown threats. Using artificial intelligence (AI), this project will create a system that can spot unusual activity on a network, which might indicate an attack. The […]

This project is to focus on building an application that can be used to perform a audiology-grade calibration of consumer headphones (and microphones) on a mobile device (such as an iPhone or iPad). The intern will use mathematical techniques (such as spectral analysis) to help gather and analyze user information more efficiently in order to […]

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 […]

Le projet vise à développer des agents d’intelligence artificielle (IA) spécialisés pour une intégration responsable dans le marketing numérique. L’essor de l’IA crée des attentes accrues en termes de productivité, mais soulève des défis éthiques, énergétiques et de biais. Pour Click & Mortar, il est crucial de maintenir une approche responsable dans l’usage de ces […]

The project leverages artificial intelligence to automate the stenosis and plaque detection for cardiologist and radiologist users in their diagnoses of coronary artery diseases. This will greatly facilitate their workflow in busy clinical settings. By reducing the time required for analyzing each patient case, healthcare professionals can focus more on patient care. Automation can also […]