CoRAL VT
@coral-vt.bsky.social
📤 31
📥 29
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COmpound flood hazard & Risk Assessment in Low-lying areas
https://coral-lab-vt.github.io
pinned post!
Grateful with Fredricka Whitfield and her team from
@cnn.com
for the opportunity to talk about the CoRAL Lab. My research group combines physics-based and data-driven models
#AI
to improve the prediction of compound flood hazards and risks
@virginiatech.bsky.social
www.linkedin.com/posts/davidm...
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Grateful with Fredricka Whitfield and her team from CNN for the opportunity to talk about the CoRAL Lab (https://lnkd.in/g3q3b4EN). | David F. Muñoz
Grateful with Fredricka Whitfield and her team from CNN for the opportunity to talk about the CoRAL Lab (https://lnkd.in/g3q3b4EN). My research group combines physics-based and data-driven models #AI ...
https://www.linkedin.com/posts/davidmunozpauta_ai-gohokies-activity-7350727794558996480-d74z?utm_source=share&utm_medium=member_ios&rcm=ACoAACMJV2QBaqGoOTqFAxwjL-mU5ShWmOX8TpA
4 months ago
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🚨We’re proud to share Md. Shadman Sakib’s first lead-author article from his PhD. We investigated how unresolved nonlinear interactions📈📉 in total water levels🌊 evolve over annual scales & during tropical cyclones for the Chesapeake Bay.
@virginiatech.bsky.social
#GoHokies
doi.org/10.1016/j.ad...
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Redirecting
https://doi.org/10.1016/j.advwatres.2025.105108
2 months ago
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Grateful with Fredricka Whitfield and her team from
@cnn.com
for the opportunity to talk about the CoRAL Lab. My research group combines physics-based and data-driven models
#AI
to improve the prediction of compound flood hazards and risks
@virginiatech.bsky.social
www.linkedin.com/posts/davidm...
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Grateful with Fredricka Whitfield and her team from CNN for the opportunity to talk about the CoRAL Lab (https://lnkd.in/g3q3b4EN). | David F. Muñoz
Grateful with Fredricka Whitfield and her team from CNN for the opportunity to talk about the CoRAL Lab (https://lnkd.in/g3q3b4EN). My research group combines physics-based and data-driven models #AI ...
https://www.linkedin.com/posts/davidmunozpauta_ai-gohokies-activity-7350727794558996480-d74z?utm_source=share&utm_medium=member_ios&rcm=ACoAACMJV2QBaqGoOTqFAxwjL-mU5ShWmOX8TpA
4 months ago
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reposted by
CoRAL VT
Virginia Tech
4 months ago
#VirginiaTech
researchers are teaming up across disciplines to better predict hurricane-driven flooding and help communities prepare for extreme weather. Here's how. ➡️
news.vt.edu/articles/2025/07/hurricane-research-experts-2025-Atlantic-season
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reposted by
CoRAL VT
Virginia Tech College of Engineering
5 months ago
June 1st marks the start of 2025 Atlantic hurricane season. ⛈️🌀 David F. Muñoz spoke to
@foxweather.bsky.social
to share how researchers use deep learning to predict future flooding.
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How researchers use new tools to predict future flooding | Latest Weather Clips | FOX Weather
Assistant Professor at Virginia Tech, David F. Muñoz, joins FOX Weather to share how researchers use deep learning to predict future floods.
https://www.foxweather.com/watch/fmc-e8s2rnwu786d32z9
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A great collaboration with colleagues from
@vtengineering.bsky.social
&
@hydr-vub.bsky.social
We push the boundaries of transfer learning for
#extreme
water level prediction 🌊 across scales! Stayed tuned for a follow up study at the global scale 🤓 🌎🌍🌏
news.vt.edu/articles/202...
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Researchers use deep learning to predict flooding this hurricane season
A team led by Virginia Tech graduate student Samuel Daramola developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, ...
https://news.vt.edu/articles/2025/05/eng-cee-smarter-storm-predictions.html
6 months ago
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🚨🚨Free access to Samuel Daramola’s latest research is available now! Check how customized deep learning architectures 🤖 can learn (and predict) compound flood dynamics 🌊 in space🌌 & time⏳for multiple cyclonic events🌀⛈️
authors.elsevier.com/c/1l0tC4sKhE...
@virginiatech.bsky.social
6 months ago
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We are super excited to share Samuel’s first PhD paper 🤓📜Here, we address the limitations of transfer learning and show that, despite site-specific conditions, DL models can generalize spatiotemporal patterns of coastal water levels 🌊 from distinctive tropical cyclones 🌀
dx.doi.org/10.1029/2024...
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Predicting the Evolution of Extreme Water Levels With Long Short‐Term Memory Station‐Based Approximated Models and Transfer Learning Techniques
We present a deep learning framework that accurately predicts the evolution of cyclone-induced water levels across multiple domains An attention mechanism enhances the framework's recognition of ...
http://dx.doi.org/10.1029/2024WR039054
8 months ago
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