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).



  • 12-09-2019 Presenting our Euler++ paper at the IEEE BigSpatial Workshop
  • 11-03-2019  Best paper award at the SIGSPATIAL Gems workshop More
  • 09-12-2019: $2 Million NSF grant to expand AsterixDB ... more
  • 08-16-2019:  Presenting a paper and a demo in VLDB 2019
  • 07-14-2019:  A Star is Born
  • 08-21-2018:  A short paper accepted in SoCC 2018
  • 08-01-2018:  Three short papers accepted in SIGSPATIAL 2018
  • 07-31-2018:  A short paper accepted in ICDE 2019
  • 11-03-2017:  Best poster presentation in ACM SIGSPATIAL 2017
  • 8-1-2017:  The Mantis System receives first place award. more
  • 6-19-2017:  My dissertation received honorable mention from the University of Minnesota



I am an accredited Scientific Teaching Fellow by Yale Center for Teaching and Learning sponsored by the National Science Foundation.

  • CS 133 - Computational Geometry [Spring 2018, Spring 2019]: CS 133 covers the fundamentals of computational geometry.
  • CS 226 - Big-data Management [Winter 2018, Fall 2018]: CS 226 covers the data management in big data platforms such as Hadoop, Spark, and AsterixDB.
  • CS 014 - Introduction to Data Structures and Algorithms [Fall 2017]: CS 014 introduces the students to the fundamental data structures and algorithmic analysis techniques such as lists, stacks, queues, search trees, sorting algorithms, hash tables, and graphs.
  • CS 267 - New Trends in Database Research [Fall 2016]: The goal of this course is to introduce the students to the latest research trends in database systems. The course is based on the recent research literature in major database conferences and journals. By the end of this course, students should be aware of the active research topics in database systems and possibly identify new research topics of their own. Students will also get a hands-on experience by working on a research problem of their choice individually or in groups.
  • CS 141 - Intermediate Data Structures and Algorithms [Winter 2017, Winter 2019]: CS 141 provides the basic background for a computer scientist in the area of data structures and algorithms. During this course, students will learn problem solving skills, how to compare them, and how to apply them in real problems.


PhD Stduents
Master Students
Undergraduate Students
  • Hsiang-Yin Hsieh
  • Yaming Zhang
  • Steven Li
  • Qiwen (Nelly) Lyu
  •  Zhiba (Ryan) Su