Ahmed Eldawy
Assistant Professor
Our objective is to make big data accessible to researchers and developers at their finger tips. We propose basic research and systems that extend that state of the art in data management and makes the best use of the computational resources.
This page provides an overview of our research, downloadable software artifacts, and public datasets for benchmarking and testing. We also provide tutorials and instructions on how to use our tools and how to build on them.
Location: 368 Winston Chung Hall
Assistant Professor
Starting year: Fall 2015
Graduate Student(PhD)
Projects: Davinci
Starting year: Fall 2016
Graduate Student(PhD)
Projects: Deep Query Optimization, R-Grove
Starting year: Fall 2017
Graduate Student(PhD)
Projects: DARaptor
Starting year:Fall 2017
Graduate Student(MS)
Projects: Davinci
Starting Year: Fall 2018
Graduate Student(MS)
Starting Year: Fall 2018
Graduate Student(MS)
Interactive visualization of big spatial data
Integrate and explore the capabilities of deep learning in the context of query optimization
Distributed processing of big raster+vector data that is capable of answering the zonal statistics query
A novel indexing for big spatial data which fully supports spatial data processing.