Using dermal stem cells for cartilage regeneration

Osteoarthritis (OA) is the fastest growing global health problem; with a total joint replacement being the only effective treatment for patients with advanced OA. While many studies have employed mesenchymal stem cells (MSCs) to repair cartilage; only little improvement has been observed and these MSCs are typically isolated from bone marrow or fat which requires […]

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A Bayesian Probability Network Approach To Predictive Modeling in Support of EffectiveManagement of Underwater Noise in Marine Mammal Habitat

Marine mammals have evolved to send and receive underwater sound as their primary means for communicating, finding food, and sensing their environment. Introducing human-generated and other unnatural sources of noise into their environment can cause potentially serious consequences, particularly for those species at conservation risk. Past work on predicting the behavioural response to excessive noise […]

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QA-Enhanced MLOps pipelines for robust and adaptive ML-intensive industrial systems

Sycodal is a Canadian company that empowers local small and medium-sized enterprises (SMEs) with cutting-edge digital solutions to overcome human resource shortages and adapt to market fluctuations. It is a member of the NVIDIA Inception program and uses NVIDIA’s technology to add machine learning (ML) and reinforcement learning (RL) capabilities to its automation systems. These […]

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Déploiement de la 5G au Québec : comment aider les municipalités ? (partie 2)

Le présent projet vise à aider les municipalités québécoises à se préparer au déploiement de la 5G. Les municipalités ont peu de leviers pour orienter directement la planification des réseaux 5G afin de protéger leurs intérêts et de répondre aux préoccupations de leurs résidents. Néanmoins, ce constat n’a pas empêché certaines villes à l’international de […]

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CFD analysis for onboard anemometer bias

OceanSync collects real time weather data, such as wind speed, wind direction, wave height and other atmospheric conditions on board of seafaring ships. Accurate data collection can be used to improve weather forecast, ocean/atmosphere modeling, satellite validation, climate change studies and reduce ships’ environmental footprint and transport costs. However, wind measurements made on ships are […]

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A Bayesian Probability Network Approach To Predictive Modeling in Support of EffectiveManagement of Underwater Noise in Marine Mammal Habitat Year Two

Marine mammals have evolved to send and receive underwater sound as their primary means for communicating, finding food, and sensing their environment. Introducing human-generated and other unnatural sources of noise into their environment can cause potentially serious consequences, particularly for those species at conservation risk. Past work on predicting the behavioural response to excessive noise […]

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TrojAI Cloud Cluster Expansion

An experiential learning opportunity for an intern to work with software as a solution platform in local server and cloud environments. The intern will gain valuable hands-on experience with data engineering tech stacks and technologies associated with deploying scalable software solutions locally and in the cloud.

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Sri Vishnu UNB – Robotics Process Automation

We (Atlantic Lottery Corporation) were approached by University of New Brusnwick to participate in the Sri Vishu partnership to help students with their experiential internship . The University of New Brunswick (UNB) partnered with the Sri Vishnu Educational Society (SVES) to provide an employment experience for SVES students through the master of computer science by […]

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Implementation of the Post-Quantum Cryptographic Algorithm: Multivariate Polynomial Public Key (MPPK)

The Multivariate Polynomial Digital Signature Scheme (MPPK-DS) is a new Post-Quantum cryptographic scheme that relies on the hardness of solving a set of multivariate polynomials. The scheme is an ideal candidate for the new NIST call for Post-Quantum digital signature algorithms that intents to diversify the post-quantum signature standards. In this project, we will work […]

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Derivation of germ lineage cells from bovine haploid parthenogenetic embryos

Artificial reproductive technics (ART) have been widely utilized to maximize the use of genomics for animal improvement. In the forefront of novel expectations in ART is the ability to derive sperm and oocytes in vitro by differentiating pluripotent stem cells into germ cells and then into gametes. However, a major hurdle in the derivation of […]

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