An abstract image of a wave with technology patterns

Wednesday, March 20, 2024 from 12 – 4 PM ET (Virtual)

Join MIT Sea Grant for a symposium on Wednesday, March 20th from 12-4PM. Hear from our FY2022 and FY2023 funded researchers focusing on water quality and ocean acidification, modeling and machine learning, and new technologies for fisheries and aquaculture. Please register to receive the link to attend. We look forward to seeing you virtually!

>> Register Here

>>View Abstracts

Questions? Please email Research Coordinator Mary Newton Lima (


12:00 PM: Introduction

12:15 PM: Pingguo He, UMass Dartmouth – Incorporating Image Recognition and Machine Learning into the NE Multispecies Groundfish Electronic Monitoring Programs to Quantify Species and Sizes of Discards

12:35 PM: Krish Sharman, UMass Amherst – Implementation of Low-Cost Conductive Yarn Sensors into Aquaculture Enclosures for Strand and Rope Integrity Monitoring

12:55 PM: Michael Benjamin, MIT – Application of an Autonomous Sailboat for Fish Population Monitoring

1:15 PM: Steven Lohrenz, UMass Dartmouth SMAST – Development of Remote Sensing Water Quality Indices in Inland and Coastal Waters

1:35 PM: David Ralston, Woods Hole Oceanographic Institution – Ocean Acidification in an Intensely Farmed Coastal Bay System

1:55 PM: Break

2:15 PM: Ted Maney, Salem State University – Developing Ropeless Autonomous Depth Controlled Structures for Aquaculture to Enable US Expansion Further Offshore

2:35 PM: Petros Koumoutsakos, Harvard University – Data Driven, Causal Discovery of the Effects of Climate Change, Ocean Acidification and Management in Fish and Invertebrate Stocks

2:55 PM: Dick Yue/Grgur Tokic, MIT – Physics-Based Direct Multi-Scale Modeling and Simulation of the Hydrodynamics of Aquaculture Farm including Interactions with Fish Schools and Flexible Structures

3:15 PM: Dipanjan Saha, Northeastern University – TRRAFICC: Toolbox for Robust, Real-time, Automated Fish Classification and Counting

3:35 PM: Discussion