Bio

Aakash Ahamed (BS, with honors, Franklin and Marshall College; MSc, Boston College; PhD Candidate, Stanford University) is a hydrologist developing scientific methods for satellite and airborne remote sensing measurements with applications to water resources, natural hazards, and agricultural systems. As a PhD Candidate in the Department of Geophysics, his current doctoral project focuses on modeling, monitoring, and forecasting key hydrologic components of the Central Valley Aquifer System in California using techniques in data assimilation and machine learning. Aakash previously worked as a support scientist in the Hydrological Sciences Lab at NASA Goddard Space Flight Center, where he constructed satellite-based models of flood and landslide hazards. He has also developed remote sensing analyses and software at Ceres Imaging, a successful precision agriculture start up based in Silicon Valley, and interned as a GIS analyst at the World Wildlife Fund for Nature in Washington, DC.

Contact

  • Academic
    aahamed@stanford.edu
    University - Student Department: Department of Geophysics Position: Graduate

Additional Info

  • Mail Code: 2215

Links

All Publications

  • Automated Satellite-Based Landslide Identification Product for Nepal EARTH INTERACTIONS Fayne, J., Ahamed, A., Roberts-Pierel, J., Rumsey, A. C., Kirschbaum, D. 2019; 23 (3)

    View details for DOI 10.1175/EI-D-17-0022.1

    View details for Web of Science ID 000464156700001

  • Socioeconomic Impact Evaluation for Near Real-Time Flood Detection in the Lower Mekong River Basin HYDROLOGY Oddo, P. C., Ahamed, A., Bolten, J. D. 2018; 5 (2)

    View details for DOI 10.3390/hydrology5020023

    View details for Web of Science ID 000455156700002

  • A MODIS-based automated flood monitoring system for southeast asia International Journal of Applied Earth Observation and Geoinformation Ahamed, A., Boltenb, J. D. 2017; 61: 104 - 117

    View details for DOI 10.1016/j.jag.2017.05.006

  • Near Real Time Flood Monitoring and Impact Assessment Systems Remote Sensing of Hydrological Extremes Ahamed, A., Bolten, J. D., Doyle, C., Fayne, J. Springer. 2017: 105–118
  • Optical and Physical Methods for Mapping Flooding with Satellite Imagery In Remote Sensing of Hydrological Extremes Fayne, J., Lakshmi, V., Bolten, J., Ahamed, A. Springer. 2017: 83–103