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 by MIT Sea Grant through an annual, competitive RFP.
FY2022 Projects
-
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
-
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
-
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
-
-
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 -
Advanced imaging and sensing technology for improved aquaculture fish cage management
Brian Anthony, MIT · 02/2020 – 01/2023Project number: R/RC-160
-
FY2019 Projects
-
-
-
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
-
-
-
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
-
-
-
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
-
-
