FUNDED PROJECTS

Development of Remote Sensing Water Quality Indices in Inland and Coastal Waters

Application of an Autonomous Sailboat for Fish Population Monitoring

Testing an Acoustic Method to Detect and Quantify Abundance of Longfin Squid Egg Masses Using Sidescan Sonar

Data Driven, Causal Discovery of the Effects of Climate Change, Ocean Acidification and Management in Fish and Invertebrate Stocks

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