🚨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...

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...

#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

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.

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...

🚨🚨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

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...