Identification of high-frequency periodic acoustic fish tags with deep learning

Innovasea produces fish tags and receivers to track the presence and motion of fish and marine mammals while underwater. Fish tracking (acoustic telemetry) is used by researchers worldwide to determine the abundance and habits of marine life, make decisions about fishing seasons and allowed catches, and help protect marine mammals. Innovasea has developed a novel […]

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AI Powered Adaptive Assessment

This project focuses on the problem of time and the human resources involved in conducting a secure offline/online pre-recruitment or training assessment. We are proposing an online secured platform powered by Artificial Intelligence and Machine Learning for safe and smooth online assessments, boasting of an advanced reporting and automated process to save time and ensure […]

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Retail Supply Chain Predictive Analytics

The project aims predict the demand of customers for small and medium size businesses. Forecasting models will be developed analyze historical data to understand patterns and correlations. Machine learning will be applied to determine how the accuracy can be improved over existing statistical methods, such as Fourier Regression Analysis which is commonly used in retail […]

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Investigating the use of mixed reality technologies as a solution to help mitigate the challenges under the COVID-19 restrictions for artistic collaboration and education

Traditionally, artistic communities relied on face-to-face encounters to learn their skills, collaborate, and showcase their work. Due to COVID-19, performances in the arts have been abruptly halted and traditional music lessons take place at a studio has stopped. This project aims to examine and provide a prototype solution to mitigate the challenges in artistic collaboration […]

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Biogeographical modeling of coronavirus dispersal

The project will reformulate the coronavirus dispersal hypothesis to food web disturbance caused by ‘social mood’ of human behaviors. We will develop a dynamic system-theoretic model to capture the change pattern of such a “social mood” and identify early warning indictors. The approach will be an advance for understanding the pathogen dispersal risk among those […]

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Attacking Transaction Relay in Cryptocurrencies based on Dandelion++

Blockchains are a new technology that are finding applications across several domains. Participant privacy in a blockchain is a major concern for this technology, and this project focuses on studying privacy attacks and defenses in several kinds of publicly deployed blockchains. Specifically, the project will focus on how a participant’s location in the network can […]

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Measurement and Modeling of Pandemic Effects on Door-to-Door Bottle Recycling

SkipTheDepot is a door-to-door bottle collection service based in Calgary which allows users in Calgary and Edmonton areas to request bottle recycling pickups, and the COVID 19 pandemic has caused demand for these services to increase. In order to meet rising demand, it is important to develop a clear understanding of how the service is […]

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Research and Data Analysis of Aycoutay Wellness Device user scans

The Aycoutay Health Screening Device is based on well-established EEG technology. It is a modern, computerized EDA based health monitoring/screening device that performs a comprehensive analysis of the bio-electrical activity of each organ and gland, as well as the critical interrelationship between them, using algorithms that translate this electrical data into diagnostic information. It is […]

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Quantum Resistant High Speed Blockchain Project

Secure, open, distributed computing platforms are able to provide trustable peer-to-peer transactions without the need for trusted intermediaries. However, as quantum-computers gain power and capability, the cryptographic systems they are built on are threatened. This project will provide the system described here with quantumresistant cryptographic protocols to ensure both system security and user privacy, and […]

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Enhancing interpretability of gaze-tracking convolutional neural networks

Innodem Neurosciences is developing a visible light gaze-tracking algorithms that can be sued to predic a user’s gaze position on the screen of a mobile device without the need for any third-party hardware. This algorithm leverages various image processing techniques, and relies on the use of convolutional neural networks and computer vision. Enhancing the quality […]

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