Bio

Ahmed Eldawy is an Associate 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 led the research and development in many open source projects for big spatial data exploration and visualization including UCR-Star, an interactive repository for geospatial data with nearly four terabytes of publicly available data. He is a recipient of the highly prestigious NSF CAREER award as well as the best demo award in SIGSPATIAL 2020. His work is supported by the National Science Foundation (NSF) and the US Department of Agriculture (USDA).

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 Grants

USDA NIFA - 2020-69012-31914 - Artificial Intelligence for Sustainable Water, Nutrient, Salinity, and Pest Management in the Western U.S.

Total amount: $10,000,000 (PI share: $636,393)
From 9/01/2020 - 8/31/2025

  • PI: Elia Scudiero - Environmental Sciences UCR - USDA Salinity Lab
  • Ahmed Eldawy - UCR
  • Vagelis Papalexakis - Computer Science and Engineering - UCR
  • Milt McGiffen - Department of Botany and Plant Sciences - UCR
  • Kurt Schwabe - School of Public Policy - UCR
  • Hoori Ajami - Department of Environmental Sciences - UCR
  • Khaled Bali - Kearney Agricultural Research & Extension Center - UC ANR
  • Michael D. Cahn - Irrigation and Water Resources, University of California Cooperative Extension
  • Alexander I Putman - Microbilogy & Plant Path - UCR
  • Ray Anderson - USDA Salinity Lab
  • Todd Skaggs - USDA Salinity Lab
  • Andrew French - US Arid-Land Agricultural Research Center at Arizona
  • Karletta Chief - Department of Soil, Water and Environmental Science, University of Arizona
  • Charles A Sanchez - Department of Soil, Water and Environmental Science, University of Arizona
  • Nathaniel Chaney - Civil and Environmental Engineering Department, Duke University
  • Raj Khosla - Department of Soil & Crop Sciences, Colorado State University
  • George Vellidis - Crop & Soil Sciences - University of Georgia
  • Monique Joy Rivera - Department of Entomology - CMU

 Projects

Beast

Beast

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.

UCR-Star website

 UCR-Star

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

    Raptor

    Raptor is the Raster+Vector query processing engine built 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

       Spider (spider.cs.ucr.edu)

      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.

       Teaching

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

      • CS 167 - Introduction to Big-data [Sptring 2020, Spring 2021]: CS 167 introduces students to the big-data ecosystem including storage, processing, and analysis.
      • CS 226 - Big-data Management [Winter 2018, Fall 2018, Fall 2019, Fall 2020]: CS 226 covers the data management in big data platforms such as Hadoop, Spark, and AsterixDB.
      • CS 133 - Computational Geometry [Spring 2018, Spring 2019]: CS 133 covers the fundamentals of computational geometry.
      • CS 010c (Formerly CS014) - 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,Summer 2019,Winter 2020,Winter 2021]: 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.

       Students

      PhD Stduents
      Master Students
      • Suryaa Charan Shivakumar
      • Bhavya Sanjay Gada
      • Naren Kulkarni
      • Atishay Jain
      •  Nadia Saba, Winter 2023
      •  Mohit Porwal, Winter 2023
      •  Ruturaj Patil, Winter 2023
      •  Nishith Patel, Winter 2023
      •  Akhilesh Reddy Gali, Winter 2023
      •  Avinash Bhim Sidhwani, Spring 2023
      •  Ponmanikandan Velmurugan, Fall 2022
      •  Bharath Mysore Nagendra
      •  Ankitha Sathyanarayana, Fall 2022
      •  Abraham Palaniswamy Miller, Fall 2022
      •  Ganesh Krishnan Sivaram, Winter 2021
      •  Bhavana Vangala, Winter 2020
      •  Zoama Hassan, Winter 2020
      •  Mehrad Amin Eskandari, Spring 2020
      •  Jonathan Peng, Spring 2020
      •  Lek Tin
      •  Jiaqing Chen, Spring 2020
      •  Husna Sayedi, Winter 2019
      •  Shipra Jais, Winter 2018
      •  Akarsha Byadarahalli-Mahadeva, Fall 2017
      •  Lyuye Niu, Winter 2017
      Undergraduate Students
      • Mohammad Abdussalam, Alexandria University, Egypt
      • Julia Bayless, UCR
      • Nicholas Santini, UCR
      • William Bryant, UCR
      • Rayyaan Mustafa, UCR
      • Andre Tran, UCR
      • Vinayak Gajjewar, UCR
      • Nikhil Kadekar, UCR
      • Puloma Katiyar, UCR
      • Hsiang-Yin Hsieh, UCR
      • Yaming Zhang, UCR
      • Steven Li, UCR
      • Qiwen (Nelly) Lyu, UCR
      • Zhiba (Ryan) Su, UCR
      • Riyafa Abdul Hamid, University of Moratuwa, Sri Lanka

       Publications