SatSummit
Picture of Catherine Nakalembe, PhD
Washington DC '24
Speakers

Catherine Nakalembe, PhD

She/Her.

Assistant Professor/ Africa Lead at University of Maryland/ NASA Harvest.

About

Professor Catherine Nakalembe is an Assistant Professor in the Department of Geographical Sciences at the University of Maryland. In her role as the NASA Harvest Africa Lead and Agriculture and Food Security Thematic Lead on NASA's SERVIR Applied Sciences Team, she applies her extensive expertise in satellite remote sensing and machine learning to conduct groundbreaking research and develop applications aimed at advancing agriculture, supporting food security initiative, mapping land use, facilitating humanitarian aid, and enhancing climate resilience with a focus on Africa. She received her Ph.D. in Geographical Science from the University of Maryland, a Master's in Geography and Environmental Engineering from Johns Hopkins University, Baltimore, Maryland, and a B.Sc. Environmental Science from Makerere University Kampala, Uganda

Dr. Nakalembe has received numerous awards and honors for her work, including the prestigious Al Sumait Prize, the 2022 Golden Jubilee Medal (the highest civilian award in Uganda), the 2020 Africa Food Prize (the preeminent award recognizing an outstanding individual or institution that is leading the effort to change the reality of farming in Africa), and a 2019 GEO Individual Excellence Award for her dedication to improving food security in Africa through the enhanced use of Earth observations.


On the agenda

  1. Bridging the Divide - Translating AI Advancement into Earth Impact

    May. 17 '24, 02:45pm
    Session
    The Forum (South)

    Deriving insights from satellite imagery using AI/ML relies heavily on ground reference data (or labels). These data are scarce outside the world's developed regions primarily due to a lack of investment and infrastructure to collect them. Foundation Models, however, promise to change this paradigm and break the barrier for everyone to benefit from AI/ML advancements, even with limited label data. We will discuss how end users can apply new Large Earth Foundation Models to solve the data scarcity problem.

    Moderators

    1. Sam Khallaghi

    Speakers

    1. Catherine Nakalembe, PhD
    2. Caleb Robinson, PhD
    3. Katie Wetstone
    4. Zhuangfang NaNa Yi, PhD

View all speakers

Sponsors

Platinum

  1. NASA Lifelines

Bronze

  1. Element84

  2. Esri

  3. Impact Observatory

  4. United States Agency for International Development (USAID)


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