MIT Sea Grant provides competitive funding opportunities for Massachusetts university-based research scientists who seek to address marine issues in ways that benefit the Commonwealth. Funding is provided by MIT Sea Grant through an annual, competitive RFP.
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 – 1/31/2023Project number: 2021-R/RRFA-001 -
Multi-Sensor Reconstruction of pH and Temperature in Gulf of Maine
Justin Ries, Northeastern University · 2/1/2021 – 1/31/2023Project number: 2021-R/RRHC-002 -
Implementation of Large-Scale Pervasive Ocean Acidity Monitoring Using a Distributed System of Autonomous Mobile Robots
Dick Yue, MIT · 2/1/2021 – 1/31/2023Project number: 2021-R/RRHC-001 -
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 – 1/31/2023Project number: 2021-R/RRFA-002 -
Ecosystem Characterization in the US North East Coast using Big Data and Machine Learning
Themistoklis Sapsis, MIT · 2/1/2021 – 1/31/2023Project number: 2021-R/RRHC-003
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 – 01/2022Project number: R/RD-44 -
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 – 01/2022Project number: R/RC-158 -
Miniature E-Jet Printed Multi-Sensors for Aquaculture Water Quality Monitoring and Management
Amy Mueller and Co-PI Joseph Ayers, Northeastern University · 02/2020 – 01/2022Project number: R/RD-45 -
Advancing Marine Autonomy for Remote Aquaculture Sustainment
Michael Benjamin and Co-PI Michael Sacarny, MIT · 02/2020 – 01/2022Project number: R/RD-43
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 · 02/2019 – 01/2021Project number: 2019-R/RCM-62 -
Quantifying Acidification Levels in the US North East Coast via Machine Learning Tools
Themistoklis Sapsis · 2/2019 – 1/2021Project number: 2019-R/RCM-61 -
AQUA-MIT: Novel Computational Capability for Aquaculture Cage and Mooring System Design in Severe Seas
Yuming Liu· 2/2019 – 1/2021Project number: 2019-R/RCM-60 -
Project Development : Multi-fidelity Modeling for non-linear and multi-valued correlations
Chrys Chryssostomidis · 2/2019 – 1/2021Project number: 2019-R/RC-150 -
Bayesian Intelligent Ocean Modeling and Acidification Prediction Systems
Pierre Lermusiaux · 2/2019 – 1/2021Project number: 2019-R/RC-149
FY2018 Projects
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Magnetic Induction (MI) Wireless Underwater Data Communications: Bottom-to-Surface Ocean Temperature Monitoring
Chathan Cooke · 2/2018 – 1/2022Project number: 2018-R/RCM-52 -
Quantifying Coastal Ocean Acidification Impacts on Estuarine Nitrogen Removal
Robinson Fulweiler · 2/2018 – 1/2020Project number: 2018-R/RC-148 -
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 · 2/2018 – 1/2022Project number: 2018-R/RCM-53 -
Making Sense of the Variability of Coastal Ocean Acidification: Potential Long-Term Impacts on the Oyster Aquaculture Industry
Robert Chen · 2/2018 – 1/2022Project number: 2018-R/RC-146
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 · 2/2017 – 1/2019Project number: 2017-R/RCM-51 -
Sensors for Measuring Carbon Dioxide, Bicarbonate, and pH in the Ocean
Timothy M. Swager · 2/2017 – 1/2019Project number: 2017-R/RCM-50 -
Towards a Cost-Effective Monitoring System of Coastal Ocean Acidification in the US North East
Themistoklis Sapsis · 2/2017 – 1/2019Project number: 2017-R/RCM-49
