L2M – Generating electric power from vibrational kinetic energy in ocean industry using piezoelectric VEHs

Hybrid Piezoelectric-Electromagnetic (Piezo-EM) Vibration Energy Harvesters (VEHs) utilizing magnets and nonlinearity present an innovative solution for generating increased energy from mechanical vibrations, offering a sustainable and renewable power source for diverse applications. Our focus lies in creating innovative and highly efficient designs that enable precise tuning of the working frequency based on the specific application, […]

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Functional MRI for post-stroke rehabilitation

Motor impairment is a common symptom after stroke and recovery of motor function is important for regaining the patient’s independence in activities of daily living. Being able to predict motion recovery and outcomes soon after stroke could support clinicians, patients and families to set proper goals for rehabilitation and appropriate plans of time and resource […]

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L2M – Reinforcement-Learning-Driven Electronic Design Automation (EDA) for Optimal Layout Placement

Reinforcement Learning (RL) driven Electronic Design Automation (EDA) is revolutionizing layout placement optimization for integrated circuits, enabling a faster design process. By incorporating the RL techniques, we enhance the historically precise yet labor-intensive process for smart integrated circuit (IC) fabrication. This innovative approach streamlines IC design, accounting for factors such as foggy and proximity effects, […]

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L2M-Enhancing Fertility Treatment: A Mobile Application Utilizing Behavioral Change Strategies

A fertility app is proposed to help couples assess their risk of infertility, create personalized behavior change programs, and track fertility-related biomarkers. Personal, health, and lifestyle information will be collected and synced with smart devices to monitor menstrual cycles, ovulation, stress levels, heart rate, sleep patterns, and physical activity. Data will be continuously analyzed by […]

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Advancing the Downstream Hydrogen Supply Chain in Newfoundland and Labrador

Newfoundland and Labrador (NL) is embracing the global shift towards clean energy with a commitment to achieving net-zero emissions. Our research project, funded by Cenovus Centre for Sales and Supply Chain Management and Mitacs, focuses on optimizing NL’s Hydrogen Supply Chain (HSC) to harness its abundant renewable energy resources effectively. Aligned with the goals of […]

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Advancing Cheque Fraud Detection and Localization: A Holistic Approach Integrating CNN and Grad-CAM

The primary objective of this research is to enhance fraud detection in cheques by implementing a comprehensive approach that addresses anomalies in formatting, signatures, and other critical elements. With a focus on fortifying bank applications against financial malpractices, our goal is to develop a robust fraud localization system. To achieve this, we will utilize a […]

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Social Enterprise through Acquisition (SETA) Project: Transforming Local Businesses into Sustainable Social Purpose Organizations

The Community Sector Council of Newfoundland and Labrador (CSCNL) aims to champion social and economic well-being in the province by fostering citizen engagement, encouraging social and economic progress, and leading research. With support from a student intern, CSCNL plans to develop the Social Enterprise Through Acquistion (SETA) project. The goal of this project is to […]

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Plastic Reduction and Energy Democracy Intern

The intern will be working on three different projects: i) translating recent international and national developments on plastic pollution & policy into popular language and disseminating it to the wider public to help improve outreach to local communities; ii) conducting surveys in four different provinces to gather data on the perceptions about energy production and […]

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OceanView Current Enhancements

Northern Radar Inc. (NRI) is working to expand its capability in ocean remote sensing of surface currents, surface winds and sea state, and is partnered with Memorial University to develop advanced HF radar algorithms The objectives of this work include a full analysis of NRI’s existing intellectual property, adapting and integrating the algorithms into new […]

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Abnormality Detection Using Variational Autoencoder: An Application in Banking System

This internship project focuses on Variational Autoencoders (VAEs) for the precise identification of fraudulent activities within the banking sector, notably on check fraud detection. The literature shows that VAEs are very powerful in extracting principal features and components of a given dataset. This project meticulously outlines a comprehensive methodology where VAE is utilized for analyzing […]

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Enhancing Fan Experience and Revenue Streams – NL Growlers

Despite its promising trajectory, DSE may face challenges in revenue generation and fan engagement. Sustaining the loyalty of existing ticket holders and attracting new patrons demand personalized outreach and compelling offers. By spearheading outbound sales initiatives and managing ticket holder renewals, there’s an opportunity to overcome these challenges. Through strategic engagement and fostering meaningful connections […]

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