Check Image Fraud Detection using Deep Learning Models

Our project aims to tackle the persistent issue of bank check fraud by using advanced deep learning technologies. By developing a system that can automatically detect fraudulent alterations in check images, we seek to enhance the security and reliability of financial transactions. This project is a collaboration with Verafin Inc., a leading provider of fraud […]

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L2M – ARMIS: Autonomous Real-time Mapping and Imaging System

The ARMIS (Autonomous Real-time Mapping and Imaging System) project aims to develop an advanced indoor mapping solution utilizing cutting-edge robotics, AI, and image processing technologies to create detailed, real-time indoor maps. This system will autonomously navigate complex environments such as universities, hospitals, corporate campuses, and transportation hubs, capturing 360-degree images and processing them to blur […]

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Global Market Expansion and Process Innovation Initiative

OPAS Mobile is an innovative software made by Mavin Industrial Limited that enhances workplace safety and productivity through AI-powered incident management solutions. To address current challenges and seize growth opportunities, we aim to expand into international markets, improve technical marketing, develop market-specific onboarding processes, craft compelling project proposals, and plan impactful industry events. The “Global […]

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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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