MedMe Health, a leader in pharmacy software solutions, is embarking on an innovative project to enhance its platform’s front-end architecture and optimize key functionalities, particularly the appointment scheduling system. As the healthcare industry faces increasing demands for efficient, scalable, and user-friendly digital solutions, MedMe’s platform must evolve to maintain its competitive edge and continue providing […]

This project is to hire an intern who will develop a volleyball coaching application that will use AI motion tracking and classification algorithms to optimize movement technique. The mobile application will be built to provide the expertise of volleyball and biomechanics to specifically address flaws with movement technique, offering analyses that will not only rate […]

EffectiveAI is an Ontario-based company dedicated to revolutionizing the Emergency Services industry through advanced Artificial Intelligence (AI) and Neural Network technology. Founded with a vision to enhance operational efficiency and effectiveness in public safety. EffectiveAI has identified a significant inefficiency in how ambulance standby locations are managed. The current approach relies heavily on traditional methods […]

Bayview Home Appliance Centre is an appliance repair company ready to expand and find more clients. They offer repair services for all major home appliances, including refrigerators, ovens, dishwashers, washing machines, and more. Furthermore, they conduct regular maintenance checks, provide customer services to hotels and condos that have hired them, and train technicians on the […]

The proposed research project focuses on investigating the growing problem of motor vehicle noise in urban environments, particularly how it affects residents’ physical and mental health, overall well-being, and willingness to live in densely populated areas. Through a combination of analysis methods involving interviews and fieldwork observations, the project will explore how residents experience and […]

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Remotely monitoring the heart is crucial for reducing the hospital readmission rate of heart failure (HF) patients. However, for aging populations with physical and cognitive limitations, existing monitoring techniques such as self-management or CardioMEMS remain demanding or invasive. There is a growing need for easy-to-use and non-invasive remote monitoring. Ballistocardiograph (BCG) measures the mechanical vibration […]

This research project focuses on developing an advanced light detection system for high-speed communication networks. The interns will integrate a specialized photodetector (PIN photodiode) and an amplifier (Transimpedance Amplifier or TIA), using cutting-edge (16nm FinFET) technology. The photodetector quickly detects light signals at visible frequency, while the amplifier boosts these signals with minimal added noise. […]

Zamancwane Mahlanza is a PhD student at the University of Johannesburg, South Africa under Professor Oluwafemi Adebo’s main supervision. Zamancwane’s research focuses on the development of conventional nutritious instant and 3D food products from traditional and novel processed foods (finger millet, edible insects and wild edible plants).

This research project focuses on understanding how moving between multiple countries impacts migrants’ sense of identity and overall well-being. By analyzing data collected with migrants in both Canada and Brazil, the study aims to uncover the psychological and emotional challenges they face during these transitions. The project will provide valuable insights into the complexities of […]

The Covid-19 pandemic has led to many changes in our local economies. While we have seen extreme inequity and economic losses we have also seen innovations and rapid-response adaptations by businesses, institutions and social service providers. Due to the rate of constant change over multiple waves of the pandemic, the ability to track and measure […]

The project aims to innovate by applying generative AI to network infrastructure, focusing on the development of models that can autonomously design network topologies, anticipate traffic patterns, and simulate various scenarios to proactively address potential issues. This collaboration will blend Nokia’s technological strength with the University of Ottawa’s leading research to create AI-driven network solutions. […]