L2M – MicroTrap

Microplastics, plastic particles smaller than 5 millimeters, are observed to have significant negative impacts on human health and the environment as they decompose extremely slowly, release toxic chemicals, and transport contaminants. Among the major sources of microplastics are microfibers, tiny thread-like fibers released during laundry. In Canada and the United States, 878 tonnes of these […]

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L2M – Deep Learning-Based Detection and Classification of Biofouling on Marine Surfaces

The maritime industry faces significant challenges from biofouling—the buildup of marine organisms on vessel hulls—which leads to higher fuel costs, increased carbon emissions, and frequent maintenance. Traditionally, biofouling inspections are manual, costly, and time-consuming, offering limited real-time insights. Our project seeks to address these inefficiencies by developing an AI-powered model to automate the detection and […]

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L2M – Advanced Power Electronics Converters for Maximizing Wave Energy Harvesting in Ocean Systems

With its vast untapped potential, wave energy could become the leading source of renewable energy from our oceans. These systems do not produce greenhouse gases, thereby contributing to a reduction in the carbon footprint of electricity generation. With a higher energy density compared to wind, wave energy has significant potential for power generation. However, commercial […]

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L2M – AI-Powered Real-Time Detection: Revolutionizing Harmful Algae Bloom (HAB) Monitoring

The proposal introduces a cutting-edge, real-time solution for detecting and mitigating harmful algal blooms (HABs) using advanced computer vision and AI models integrated with autonomous systems. By leveraging state-of-the-art AI-powered imaging technology, this solution delivers precise species identification and real-time monitoring capabilities that drastically improve response times. Unlike traditional manual sampling methods, this system utilizes […]

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L2M – Using Wave Energy to Charge Electric Boats Without a Traditional Charger.

Recently, there has been a massive transition from internal combustion engine-based boats to electric boats that do not depend on fossil fuels. However, there are some factors hindering the fast pace of this transition. These factors include the bulky charging system, the unavailability of reliable power sources, and the increased operational cost of electric boats. […]

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L2M – A power converter for hybrid renewable energy systems consisting of wave, wind and solar energy to power remote communities in Newfoundland.

The government of Canada has been developing the Clean Electricity Regulations, which aims to reduce CO2 emissions to 45 percent below 2005 levels by 2030 and net-zero emissions by 2050. One main sustainability goal in the global power sector is to generate clean electricity using renewable energy sources. Hydro, Newfoundland and Labrador’s primary electricity generation […]

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L2M-Advance DC-DC converter for improving performance of underwater electric drone.

This project focuses on developing an advanced DC power converter to improve the efficiency and operational time of underwater drones, which are essential tools for monitoring and managing marine environments. By addressing the limitations of conventional converters—such as energy losses, component stress, and bulkiness—this project aims to enhance battery performance and support longer missions in […]

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Separation of Heterogeneous Biological Samples Using a Tangential Flow Filtration Microfluidic Device

This work suggests an innovative microfluidic approach for complex biological sample separation, emphasizing the need for methods that enhance efficiency while considering the delicate nature of such samples. This project aims to deploying a continuous, portable microfluidic sorter that can effectively process heterogeneous organoid samples, enhancing throughput and preserving sample integrity. The findings will contribute […]

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An Automatic Approach to Transfer Function Tuning Using Reinforcement Learning

Optimizing an interaction to achieve the highest possible performance is desirable for many applications. For instance, even minor improvements in the mapping between a computer mouse’s movement and a cursor on a screen can significantly enhance comfort and usability. Similarly, better mapping an operator’s joystick inputs to crane movements could boost productivity. Both examples emphasize […]

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Energy Efficient Integrated Design of Flight Management Systems and Autopilots with Terrain Avoidance Capabilities

The amount of emissions to the atmosphere is currently an important environmental concern as policy makers and Heads of State are starting to demonstrate a strong interest in energy efficient transportation, in particular energy efficient aircraft. However, current autopilot technology will often not take into account the energy used to perform a given maneuver which […]

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L2M – SolarSail (Dual Axis Solar Tracking System for Marine Vessels)

Dual Axis Solar Tracking System for Marine Environments is a project that aims to integrate a solar tracking technology onboard a marine vessel. By integrating 2 different tracking methods in one system for improving the efficiency of tracking, further leading to improvement in energy production, this project aims to make this technology economically and technically […]

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