Phuong D. Dao
Scholar

Phuong D. Dao

Google Scholar ID: Mvhn6uQAAAAJ
Incoming Assistant Professor, The University of Texas at Austin
remote sensinggeospatial sciencemachine learningplant ecologyprecision agriculture
Citations & Impact
All-time
Citations
1,850
 
H-index
14
 
i10-index
15
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • - Co-authored the paper 'deadtrees.earth — An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics' published in Remote Sensing of Environment.
  • - Co-authored 'GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction', accepted as a poster at NeurIPS 2025.
  • - Former Master student Sydney Hedberg led a study published in Oecologia.
Research Experience
  • - Dr. Dao leads a multidisciplinary team focusing on exploring plant-environment disturbance interactions and their impacts on plant health, growth, and function by integrating multisource remote sensing, high-throughput plant phenotyping, geospatial sciences, genetic and molecular methods, biological modeling, and machine learning.
  • - Collaborating with Syngenta Group to develop scalable, transferable models for diagnosing crop stress using AI and remote sensing technologies.
Background
  • Areas of interest include plant ecophysiology, plant-disturbance interactions, precision agriculture, invasive species, biodiversity, remote sensing, geospatial science, machine learning, etc.