MIT Sea Grant provides competitive funding opportunities for Massachusetts research scientists who seek to address marine issues in ways that benefit the Commonwealth. Funding is provided through MIT Sea Grant’s competitive Core RFP.
FY2023 Projects
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Ocean Acidification in an Intensely Farmed Coastal Bay System
David Ralston, Woods Hole Oceanographic Institution · 2/1/2023 – 1/31/2024
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Developing Ropeless Autonomous Depth Controlled Structures for Aquaculture to Enable US Expansion Further Offshore
Ted Maney, Salem State University · 2/1/2023 – 1/31/2024
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TRRAFICC: Toolbox for Robust, Real-time, Automated FIsh Classification and Counting
Dipanjan Saha, Northeastern University · 2/1/2023 – 1/31/2024
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Data Driven, Causal Discovery of the Effects of Climate Change, Ocean Acidification and Management in Fish and Invertebrate Stocks
Petros Koumoutsakos, Harvard University · 2/1/2023 – 1/31/2024
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Testing an Acoustic Method to Detect and Quantify Abundance of Longfin Squid Egg Masses Using Sidescan Sonar
Mark Borrelli, Center for Coastal Studies · 2/1/2023 – 1/31/2024
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Application of an Autonomous Sailboat for Fish Population Monitoring
Michael Benjamin, MIT · 2/1/2023 – 1/31/2024
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Development of Remote Sensing Water Quality Indices in Inland and Coastal Waters
Steven Lohrenz, University of Massachusetts Dartmouth · 2/1/2023 – 1/31/2024
FY2022 Projects
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Implementation of Low-Cost Conductive Yarn Sensors into Aquaculture Enclosures for Strand and Rope Integrity Monitoring
Krish Sharman, University of Massachusetts Amherst · 2/1/2022 – 1/31/2024
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Incorporating Image Recognition and Machine Learning into the NE Multispecies Groundfish Electronic Monitoring Programs to Quantify Species and Sizes of Discards
Pingguo He, University of Massachusetts Dartmouth · 2/1/2022 – 1/31/2024
FY2021 Projects
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Real-Time Ocean Environment and Aquaculture Structure Load/Motion Predictions through Physics-Informed Machine Learning
Yuming Liu, MIT · 2/1/2021 – 1/31/2023 -
Multi-Sensor Reconstruction of pH and Temperature in Gulf of Maine
Justin Ries, Northeastern University · 2/1/2021 – 1/31/2023 -
Implementation of Large-Scale Pervasive Ocean Acidity Monitoring Using a Distributed System of Autonomous Mobile Robots
Dick Yue, MIT · 2/1/2021 – 1/31/2023 -
Low-Cost Underwater Robotic Tools for Automated Inspection and Monitoring of Offshore Aquaculture Farms
Lee Freitag and Nicholas Rypkema, Woods Hole Oceanographic Institution/MIT · 2/1/2021 – 1/31/2023 -
Ecosystem Characterization in the US North East Coast using Big Data and Machine Learning
Themistoklis Sapsis, MIT · 2/1/2021 – 1/31/2023
FY2020 Projects
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Low Cost, Autonomous, Real-Time 3D Imaging for Offshore Aquaculture Health Monitoring and Stock Assessment
Alexandra Techet, MIT · 02/2020 – 01/2022 -
Pervasive Monitoring of Offshore Aquaculture Installations using Moored Profilers
Jeff Dusek, Olin College of Engineering; Co-PI Alessandra Ferzoco, Olin; Co-PI Joanna Carey, Babson College · 02/2020 – 01/2022 -
Miniature E-Jet Printed Multi-Sensors for Aquaculture Water Quality Monitoring and Management
Amy Mueller and Co-PI Joseph Ayers, Northeastern University · 02/2020 – 01/2022 -
Advancing Marine Autonomy for Remote Aquaculture Sustainment
Michael Benjamin and Co-PI Michael Sacarny, MIT · 02/2020 – 01/2022 -
3D Sensing Aquaculture Nets
Yoel Fink, MIT · 02/2020 – 01/2022 -
Advanced imaging and sensing technology for improved aquaculture fish cage management
Brian Anthony, MIT · 02/2020 – 01/2023
FY2019 Projects
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A New Paradigm for Pervasive and Persistent Monitoring of Ocean Acidity Using a Distributed System of Autonomous Mobile Robots
Dick Yue, MIT · 02/2019 – 01/2021 -
Quantifying Acidification Levels in the US North East Coast via Machine Learning Tools
Themistoklis Sapsis, MIT · 2/2019 – 1/2021 -
AQUA-MIT: Novel Computational Capability for Aquaculture Cage and Mooring System Design in Severe Seas
Yuming Liu, MIT · 2/2019 – 1/2021 -
Project Development : Multi-fidelity Modeling for non-linear and multi-valued correlations
Chrys Chryssostomidis, MIT · 2/2019 – 1/2021 -
Bayesian Intelligent Ocean Modeling and Acidification Prediction Systems
Pierre Lermusiaux, MIT · 2/2019 – 1/2021
FY2018 Projects
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Magnetic Induction (MI) Wireless Underwater Data Communications: Bottom-to-Surface Ocean Temperature Monitoring
Chathan Cooke, MIT · 2/2018 – 1/2022 -
Quantifying Coastal Ocean Acidification Impacts on Estuarine Nitrogen Removal
Robinson Fulweiler, Boston University · 2/2018 – 1/2020 -
Measuring Acid/Base Chemistry in the Extrapallial Fluids of New England’s Commercially Important Mollusks to Explore their Differential Responses to Ocean Acidification
Justin Ries, Northeastern University · 2/2018 – 1/2022 -
Making Sense of the Variability of Coastal Ocean Acidification: Potential Long-Term Impacts on the Oyster Aquaculture Industry
Robert Chen, University of Massachusetts Boston · 2/2018 – 1/2022
FY2017 Projects
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Developing a Miniaturized In-situ Sensor Technology for Simultaneous Measurements of Seawater Dissolved Inorganic Carbon and pCO2
Zhaohui Aleck Wang, Woods Hole Oceanographic Institution · 2/2017 – 1/2019 -
Sensors for Measuring Carbon Dioxide, Bicarbonate, and pH in the Ocean
Timothy M. Swager, MIT · 2/2017 – 1/2019 -
Towards a Cost-Effective Monitoring System of Coastal Ocean Acidification in the US North East
Themistoklis Sapsis, MIT · 2/2017 – 1/2019
FY2016 Projects
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Multiple stressors on American Lobster, Homarus americanus: synergistic effects of ocean acidification, temperature increase, and epizootic shell disease
Robyn Hannigan, University of Massachusetts Boston · 2/2016 – 1/2018 -
Investigation of the Effects of Ocean Acidification and Warming on the Calcification Rate & Shell Properties of Commercially Important Early Stage New England Mollusks
Justin Ries, Northeastern University · 2/2016 – 1/2018 -
Quantification of the contribution of wastewater effluent to coastal ocean acidification
Scott Doney, Woods Hole Oceanographic Institution · 2/2016 – 8/2018
