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David F. Muñoz

Assistant Professor

David F. Muñoz

David F. Muñoz, Assistant Professor

Patton Hall
Blacksburg, VA, USA 24061
Mail Code: (0105)

Program Area : Environmental and Water Resources Engineering
Personal Homepage :

Areas of Interest

In the CoRAL Lab (, we integrate process-based models, statistical analysis, and machine learning architectures to understand compound extreme dynamics as well as long-term processes in coastal to inland environments.

  • B. Eng. Civil Engineering. University of Cuenca – Ecuador, 2013.
  • M.Sc. Earth and Environment, Hydrology and Water Resources. Wageningen University & Research – The Netherlands, 2017.
  • Ph.D. Civil, Construction and Environmental Engineering, Coastal Hydrology. The University of Alabama – USA, 2021.
  • Assistant Professor. Charles E. Via, Jr. Department of Civil & Environmental Engineering at Virginia Tech. Patton Hall Blacksburg, VA 24061. August 2022 to present.
  • Postdoctoral research associate. Center for Complex Hydrosystems Research (CCHR). The University of Alabama. 248 Kirkbride Ln, Tuscaloosa, AL 35401. September 2021 to August 2022.
  • Urban flood modeler. “Cost Effective Neural Technique to Alleviate Urban Flood Risk” – CENTAUR project. ( Department of Civil Engineering. Faculty of Sciences and Technology of the University of Coimbra (FCTUC) – Pólo II. Rua Luis Reis Dos Santos, 3030-790. Coimbra, Portugal. October 2017 to August 2018
  • Internship. Urban flood modeling and sewer overflow control. “CENTAUR project” under the H2020 framework. Department of Civil Engineering. University of Coimbra. Coimbra, Portugal. March 2017 to July 2017.
  • Civil engineer. KIMSA Constructors/Azuay Prefecture. Cuenca, Ecuador. Amazonas Constructors/Enterprise of Economic Development (EDEC). Cuenca, Ecuador. Civil engineer (junior). Consultancy in Environmental and Sanitary Engineering (CONSULTORACAV)/Ministry of Urban Development and Housing (MIDUVI). Ministry of Transportation and Public Works (MTOP). Cuenca, Ecuador. February 2013 to May 2015.
  • 2022 NHERI RAPID Facility Intensive Hands-On Training Workshop. Travel grant. Seattle WA. July 2022.
  • 2022 Outstanding Dissertation Award. Department of Civil, Construction and Environmental Engineering, The University of Alabama. Tuscaloosa, AL. April 2022.
  • National Water Center Innovators Program – Summer Institute. Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI) and National Oceanic and Atmospheric Administration (NOAA). Tuscaloosa, AL. June 2019.
  • ERASMUS+ program. Student grant for traineeship. European Commission. Wageningen, NL. February 2017.
  • SENESCYT scholarship. Ecuadorian government. Cuenca, EC. September 2014.
  • CEE 3814: Analytical Tools in Civil and Environmental Engineering
  • Collaborative Research: CAS-Climate: Nonstationarity of Compound Coastal Floods in the Anthropocene. National Science Foundation. Division of Earth Sciences. Hydrologic Sciences Program. Start date: October 2022.
  • Muñoz, D.F., Moftakhari, H., Kumar, M., Moradkhani, H., 2022. Compound Effects of Flood Drivers, Sea Level Rise, and Dredging Protocols on Vessel Navigability and Wetland Inundation Dynamics. Frontiers in Marine Science 9.
  • Muñoz, D.F., Abbaszadeh, P., Moftakhari, H., Moradkhani, H., 2022. Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation. Coastal Engineering 171, 104057.
  • Muñoz, D.F., Muñoz, P., Moftakhari, H., Moradkhani, H., 2021. From local to regional compound flood mapping with deep learning and data fusion techniques. Science of The Total Environment 782, 146927.
  • Muñoz, D.F., Moftakhari, H., Moradkhani, H., 2020. Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment. Water Resources Research 56, e2020WR027544.
  • Muñoz, D. F., Moftakhari, H., Moradkhani, H., 2024. Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models. Hydrology and Earth System Sciences.