Assistant Professor
4128 Multidisciplinary Research Building (MRB1)
Computer Science and Engineering
University of California, Riverside
Ahmed Eldawy is an Assistant Professor in Computer Science at the University of California Riverside. His research interests lie in the broad area of databases with a focus on big data management and spatial data processing. Ahmed is the main inventor of SpatialHadoop, the most comprehensive open source system for big spatial data management. Ahmed has many collaborators in industrial research labs including Microsoft Research and IBM Watson. He was awarded the Quality Metrics Fellowship in 2016, Doctoral Dissertation Fellowship in 2015, and Best Poster Runner-up award in ICDE 2014. His work is supported by the National Science Foundation (NSF) and the US Department of Agriculture (USDA).
$1.2 Million NSF grant to process Big Low-Value
Data ... more
$10 Million USDA NIFA grant
to to support sustainable agriculture using AI ...
more
UCR STAR the spatio-temporal active repository that hosts terabytes of public geospatial data in an interactive repository. The main goal is to allow the researchers worldwide to unleash the true value of the datasets that are available all over the web. We encourage the community to submit their requests to add new datasets to UCR-Star and we will be process them.
Raptor is the Raster+Vector query processing engine build in Spark. Raptor is designed to efficiently combine raster data, e.g., satellite images, with vector data, e.g., roads and boundaries, in one efficient query processing core. Raptor has already been applied in many scientific applications including crop yield estimation and combating wild fires.
Spider is a web-based spatial data generator that aims at making synthetic datasets easier to generate, visualize, and share. With Spider, you can generate billions of records of synthetic data and share them with your project members with a simple web link.
Beast is a system for Big Exploratory Analytics on Spatio-temporal data. It adds many Spark-based functions for loading, indexing, analyzing, visualizing, and summarizing big spatio-temporal data. UCR-Star is one example of a system that is built using Beast.
I am an accredited Scientific Teaching Fellow by Yale Center for Teaching and Learning sponsored by the National Science Foundation.
