Francesco Dell'Aira

Post-doctoral Fellow
University of Memphis, Tennessee, United States

Dr. Dell’Aira has been involved in research projects related to optimal water distribution network design and rehabilitation, flood frequency analysis, and the application of machine learning in hydrology. Additionally, he has developed novel methodologies for basin representations based on hydrologic connectivity. His current research interests focus on implementing effective green stormwater infrastructure and leveraging large-sample hydrologic datasets to enhance our understanding of watershed-scale hydrologic processes.

Disclosure information not submitted.

Presentation(s):

• A Scalable and Computationally Efficient Approach for Green Infrastructure Layout Optimization

  Monday, May 19, 2025
  10:45 AM – 11:00 AM Alaska Daylight Time (AKDT)

• Misusing Langbein’s Equation when Predicting Low-Return-Period Extreme Events: A CONUS-Scale Investigation of Consequences on Frequent Flood Prediction

  Tuesday, May 20, 2025
  1:30 PM – 1:45 PM Alaska Daylight Time (AKDT)

• Leveraging Deep-Learning Models and Large-Sample Hydrologic Datasets for Investigating Physical and Climatic Drivers of Rainfall-Runoff Process Heterogeneity at the Watershed Scale

  Tuesday, May 20, 2025
  5:15 PM – 5:30 PM Alaska Daylight Time (AKDT)