TRRAFICC: Toolbox for Robust, Real-time, Automated FIsh Classification and Counting

Physics-Based Direct Multi-Scale Modeling and Simulation of the Hydrodynamics of Aquaculture Farm including Interactions with Fish Schools and Flexible Structures

Developing Ropeless Autonomous Depth Controlled Structures for Aquaculture to Enable US Expansion Further Offshore

Ocean Acidification in an Intensely Farmed Coastal Bay System

Advanced imaging and sensing technology for improved aquaculture fish cage management

Incorporating Image Recognition and Machine Learning into the NE Multispecies Groundfish Electronic Monitoring Programs to Quantify Species and Sizes of Discards

Implementation of Low-Cost Conductive Yarn Sensors into Aquaculture Enclosures for Strand and Rope Integrity Monitoring

Ecosystem Characterization in the US North East Coast using Big Data and Machine Learning

Low-Cost Underwater Robotic Tools for Automated Inspection and Monitoring of Offshore Aquaculture Farms

Implementation of Large-Scale Pervasive Ocean Acidity Monitoring Using a Distributed System of Autonomous Mobile Robots