This project aims to further develop cost-effective methods for characterizing fluid flow fields in high-energy tidal channels, with a focus on use of low-profile drifters to calibrate and validate numerical models of ocean flows. The project will focus on the Finite-Volume Community Ocean Model (FVCOM) used by Acadia and Luna Ocean, primarily for tidal energy […]

The scope of this project is to use acoustic data from long-baseline arrays of hydrophones to detect, locate, and track marine mammals based on their vocalization. Specifically, the project aims to assess methods and develop automated tracking algorithms that provide accurate results for individual signals, and a maximum of flexibility regarding the channel, array, and […]

My project aims to understand cetacean habitat use in remote areas along Canada’s coast. Using acoustic data from an array of permanently recording hydrophones, I am developing software to automatically detect, classify, and localize different species of whales that use the area . The acoustic network is located deep in the Great Bear Rainforest in […]

Fish produce sounds underwater to communicate with each other. Underwater microphones (called hydrophones) can be deployed in the ocean to record these sounds and help scientists study where the fish are without disturbing them. Unfortunately, few studies have been done on fish sounds and a lot of sounds fish produce have not been identified yet. […]

The proposed study will involve development and use of a survey tool to solicit responses from grade 6-9 youth across the province, and in-depth analysis of these data. The intern will help pilot the survey tool and make any necessary revisions to the tool prior to implementation. Upon launch of the tool, the intern will […]

Quiecean develops a Cold Atmospheric Plasma (CAP) device that reduces underwater noise and pollutants to protect marine ecosystems. The project validates its technical design and business model for commercialization in Canada’s blue economy.

This project will develop an AI-powered cybersecurity system to help protect important ocean infrastructure, starting with offshore energy systems such as oil and gas, wind and tidal farms. These facilities are becoming a key part of Canada’s clean energy future but are also vulnerable to cyberattacks that could cause costly shutdowns or disruptions. The project […]

We are developing a self-powered ocean-energy system that reduces reliance on conventional batteries by using triboelectric nanogenerators (TENGs) to harvest energy from ocean waves, currents, and wind. Unlike many existing technologies that struggle with low-frequency and unpredictable motion, TENGs are lightweight, low-cost, and highly efficient at capturing irregular, low-frequency energy. With nearly 70 % of […]

This project aims to turn raw underwater video into decision-ready science. Our software automatically detects, classifies, and counts marine species, then delivers results in a simple web dashboard with linked video clips, maps, and exportable reports. Instead of annotating from scratch, ecologists just review and correct AI suggestions—cutting review time by more than half. Built […]

The project aims to prove and commercialize AddManuChain, a computerized inventory system that will deploy on-site 3D printing to print certified parts on location at the remote industrial sites, including offshore oil platforms, mining operations, and also in the maritime facility to eliminate the expensive effect of long downtimes incurred during part replacement. The project […]

This project focuses on developing next-generation marine and offshore components using high-entropy alloys (HEAs) derived from Canadian resources and manufactured through Laser Powder Bed Fusion (LPBF), an advanced metal additive manufacturing technology. The marine and offshore oil and gas industries operate in some of the world’s most corrosive and mechanically demanding environments, where corrosion, fatigue, […]

The transition to low-carbon ocean economies requires innovative energy solutions for ports and coastal communities, where electrification of ships, ferries, and vehicles is accelerating. Building on prior research in probabilistic EV charging demand forecasting, energy consumption modeling, and emissions analysis, this project proposes a Smart Port Energy and EV Infrastructure Management Platform. The system integrates […]