Self Supervised Learning of Embeddings for Semi-Supervised Track Classification

Total::Insight™ is a geospatial and time distribution Decision Support System (DSS) that includes a correlator capable of consuming many sporadic time domain signals and converting them into feature rich tracks. The problem here is how to create an AI/ML embedding that is domain relevant from the tracks.The project objective is to develop, refine and industrialize […]

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Improvement of Quality and Efficacy of Natural HealthProducts & Dietary Supplement

The overall goal of this project is for the University science team at the University of Ottawa and University of New Brunswick to develop high quality Echinacea products for Canadian and world markets in collaboration with Amway Canada. One objective involves phytochemical and pharmacological selection and propagation of elite Echinacea from the historic Echinacea germplasm […]

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Fine-tuning an LLM for patent drafting

The project seeks to optimize the performance of a Language Model (LLM) specifically tailored for patent drafting. Through meticulous fine-tuning, our objective is to elevate the LLM’s capabilities, thereby enhancing the efficiency and precision in the generation of patent documents.

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L2M – VT-PATCH for Remote Patient Monitoring for Children

The VT-PATCH project addresses a crucial gap in pediatric healthcare by introducing a user-friendly medical patch designed for short-term, continuous monitoring of infants and young children. Unlike the current complex system of multiple devices and wires, the VT-PATCH offers an all-in-one solution to measure vital signs like heart rate, respiratory rate, blood oxygen saturation, and […]

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Development of a public sector change management model

Change is a necessary part of an organization’s existence and its continued growth. Therefore, the ability to manage change effectively and efficiently contributes to organizational success. The intern, through an extensive review of change models and public sector change literature, will develop a change model suitable for the public sector environment. The model will be […]

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Advanced Mass Spectrometry ExperimentDevelopment (AMASED)

This project will develop, test and then apply new mass spectrometry (MS) methods of measuring radionuclides and their decay products. This approach will provide rapid and economic measures of radionuclides that are important in human health and environmental protection nuclear facilities. We will work closely with our partners to ensure that the methods are validated […]

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Quantum Information metrics for Gaussian states

Quantum information metrics including fidelity, quantum divergences, and the trace norm provide the mathematical foundation for studying and understanding quantum states and processes. As such, quantum information metrics play a crucial role in quantum computing, simulation of quantum systems, and quantum machine learning (including quantum clustering, generative models, and machine learning of, and by, quantum […]

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Etudes mécanistiques de réactions métallo-catalysées par électrochimie

Le projet consiste à étudier de nouveaux complexes métalliques en particulier à base de Nickel afin de pouvoir les utiliser dans le cadre de réactions catalysées. Cette recherche a pour but le développement futur de processus plus efficaces, plus économiques et plus verts pour la production de produits organiques utiles à la société. Le palladium […]

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Towards Developing an Optimal Fluorescent Protein-Based Extracellular Glucose Biosensor

Optogenetics, or the process of controlling biological processes through light and specialized proteins, is a revolutionary technology that allows for remarkable scientific advancement. Metabolic processes in the brain, and the role of glucose, are under-studied, despite their connections to a wide range of debilitating diseases. Some fluorescent protein-based biosensors are available presently for optogenetic applications, […]

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