Tan Le
Hampton University, VA·Engineering
Estuaries, where rivers meet the ocean, are among the most productive environments on Earth. The Chesapeake Bay is the largest estuary in the United States.
- Fields
Engineering
Earth & Environmental Science
Computer Science
- Topics
environmental monitoring
water quality
estuary
- Grants
- 1 known grant, through Jul 2027
What they work on
- Design a biogeochemical sensor-robot network that combines static water sensors with mobile aquatic robots, together with intelligent data sampling and analysis, for large-scale monitoring of the Hampton River.
- Develop machine learning and data-driven models to estimate the density and growth of marine species, including oysters, from network sensing data.
- Create optimal navigation, path planning and robust control methods for aquatic robots, then deploy and evaluate the full network in the field.
More about the research
Nutrient runoff from industry and farms, pollution and overfishing threaten its ecosystem, its fisheries and its oysters. Protecting them requires detailed, up-to-date knowledge of changing water chemistry over large areas, which is hard to collect by hand.
Why it matters
Water-quality, oyster-growth and restoration data from this network could help resource managers decide how to control pollution, manage the water system and restore oyster populations in the Hampton River and Chesapeake Bay. These decisions affect the region's fisheries, economy and recreation. The data will also be shared with other researchers and the public.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Sarah Preheim
Johns Hopkins University, MD·Earth & Environmental Science
Test how the abundance of denitrification genes, measured by quantitative PCR, relates to denitrification rates in controlled bioreactor experiments, and whether disturbance frequency changes that relationship.
Yan Luo
University of Massachusetts-Lowell, MA·Engineering
Evaluate the sensitivity, specificity and stability of a patented biosensor for aquatic pathogens when deployed across varied coastal and aquaculture environments.
Admin Husic
Virginia Polytechnic Institute and State University, VA·Earth & Environmental Science·Early-career
Quantify how strongly landscapes connect to rivers over time and space by training a deep learning model on high-frequency nitrate and turbidity sensor data from more than 150 U.S. rivers.
The school
Hampton University: 2 labs on PI Pages, $11M a year on research, 31 research doctorates a year.
Reach out
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