Antifouling Performance of Graphene-based Coatings in Varying Flow Conditions

Marine biofouling, which is the growth of organisms on ocean infrastructure, is a widespread problem with substantial economic and environmental costs. This project undertaken by the intern will develop dynamic tests of a novel graphene-based antifouling coating designed by Graphite Innovation & Technologies (GIT). The dynamic tests involve generating water flow over the coating surface, […]

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Antifouling Performance of Graphene-based Coatings in Varying Flow Conditions

Marine biofouling, which is the growth of organisms on ocean infrastructure, is a widespread problem with substantial economic and environmental costs. This project undertaken by the intern will develop dynamic tests of a novel graphene-based antifouling coating designed by Graphite Innovation & Technologies (GIT). The dynamic tests involve generating water flow over the coating surface, […]

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Development of an improved generative adversarial network method for data augmentation and its application in environmental and financial domains

Using simplified language understandable to a layperson; provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100 – 150 words) This project aims to increase image datasets by not doing experiments or collecting physical checks. Instead, the image […]

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Evaluating water temperature forecasting models used to predict Fraser River sockeye salmon migration mortality

I will be working as an intern with Vynx Design Inc. generating temperature forecasts that will aid decision making for salmon fisheries managers. My research will focus on improving the accuracy and effectiveness of short-term temperature forecasts as well as enhancing the understanding of the relationship between river conditions and mortality. I will use both […]

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Artificial Intelligence to Support Autonomous Seabed Mapping Operations

Presently the Ocean Mapping Community is spending a lot of time manually cleaning the raw sonar survey files. If this cleaning process is done by an Artificial Intelligence system as clean as a human would do, this could be transforming the entire Ocean Mapping community. Therefore, we propose a novel solution of using an Artificial […]

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Improved Deep Learning-based Sea-ice Monitoring System

This project will develop a robust software package that can be embedded with a camera system to provide an onboard sea-ice monitoring system. The software package consists of two main components: (1) Deep learning classification model, which involves a deep learning network trained to identify and classify sea-ice; (2) Lens artifact removal method, which is […]

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Sustainable functionalized magnetic particles for efficient treatment of marine oil pollution

Oily wastewater production and discharge from different sources such as industries and daily human activities are the main sources of marine oil pollution. More importantly, accidental oil spills occurred in oil extraction/production, refining, and transportation stages can cause detrimental impacts on the aquatic ecosystems and marine environments. In this Lab2Market project, we apply a special […]

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Design and optimization of low-frequency piezoelectric energy harvesters

Portable electronic applications are typically powered by batteries, which have limited lifespan and size constraints. Energy harvesting from the spatial environment is a promising solution to sustainable power supplies for low-power portable devices and sensor networks. Vibration-based energy harvesting has received much attention due to the recent advances in microfabrication of piezoceramic materials. These smart […]

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Sensor development for in-situ microplastics monitoring in water bodies

Plastics are all around us, and unfortunately, they either do not go through decomposition or take decades to decompose. Consequently, tiny plastic particles, called microplastics, are found in oceans, rivers, and even in drinking water. Living species in the oceans consume them, and these microplastics enter to our food chain and pose significant health concerns […]

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Spatiotemporal influence of sea cage aquaculture on wild fish dietary habits and biological characteristics

Research will involve capturing of commercially valuable wild fish species aggregated around sea cage aquaculture sites in different parts of Newfoundland, including one previously sampled. These specimens will then have samples taken that will be evaluated for an ‘aquaculture signature’ that would indicate direct or indirect consumption of sea cage feed and waste that becomes […]

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QUOREM: A data science platform for microbiology research

In the genomics era, microbiologists are collecting data at an accelerating pace. We have created a data science platform called QUOREM that significantly reduces the technical burden experienced by microbial ecologists associated with managing ever-increasing quantities of data. We believe that public and private research groups in Canada could benefit our platform, and the ability […]

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