Bio

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.

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 Teaching

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

  • 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]: 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
  • Shipra Jais
  • Akarsha Byadarahalli-Mahadeva
  •  Lyuye Niu
Undergraduate Students
  • Zhiba (Ryan) Su
  • Qiwen (Nelly) Lyu

 Publications

2017

  • Ahmed Eldawy, Ibrahim Sabek, Mostafa Elganainy, Ammar Bakeer, Ahmed Abdelmotaleb, and Mohamed F. Mokbel. "Sphinx: Empowering Impala for Efficient Execution of SQL Queries on Big Spatial Data." In Proceedings of the 15th International Symposium on Spatial and Temporal Databases, SSTD 2017, Washington, DC, August 21-23 2017.
  • Xiaochuang Yao, Mohamed F. Mokbel, Louai Alarabi, Ahmed Eldawy, Jianyu Yang, Wenju Yun, Sijing Ye, and Dehai Zhu "Spatial Coding-based Approach for Partitioning Big Spatial Data in Hadoop." The Journal of Computers & Geosciences, (106): pp 60—67 (2017)
  • Harry Chasparis and Ahmed Eldawy "Experimental Evaluation of Selectivity Estimation on Big Spatial Data". In Proceedings of the 4th ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data, GeoRich 2017, in Chicago, IL, May 2017.
  • Ahmed Eldawy and Mohamed F. Mokbel "The Era of Big Spatial Data". A 90-minute tutorial to be presented in the 43rd International Conference on Very Large Data Bases, VLDB 2017, in Munich, Germany.
  • Ahmed Eldawy and Mohamed F. Mokbel "The Era of Big Spatial Data: A Survey". Foundations and Trends in Databases, FTnDB 2016, Vol. 6: No. 3-4, pp 163-273 http://dx.doi.org/10.1561/1900000054

2016

  • Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein Ahmed Eldawy, and Abdul Quamar. "Quill: Efficient, Transferable, and Rich Analytics at Scale". In Proceedings of the VLDB Endowment, Vol. 9, No. 14, pp 1623-1634, 2016.
  • Michael T. Goodrich and Ahmed Eldawy. "Parallel Algorithms for Summing Floating-Point Numbers". In Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures, ACM SPAA 2016, Asilomar State Beach, CA, July 11 - 13, 2016.
  • Ahmed Eldawy, Mohamed F. Mokbel, and Christopher Jonathan. "HadoopViz: A MapReduce Framework for Extensible Visualization of Big Spatial Data". In Proceedings of the 32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016.

2015

  • Ahmed Eldawy, Louai Alarabi and Mohamed F. Mokbel. "Spatial Partitioning Techniques in SpatialHadoop".(Mini-experimental paper) In Proceedings of the the International Conference on Very Large Databases, VLDB 2015, Kohala Coast, HI, 2015.
  • Ahmed Eldawy, Mohamed F. Mokbel and Christopher Jonathan "A Demonstration of HadoopViz: An Extensible MapReduce System for Visualizing Big Spatial Data". In Proceedings of the the International Conference on Very Large Databases, VLDB 2015, Kohala Coast, HI, 2015.
  • Ahmed Eldawy and Mohamed F. Mokbel. "SpatialHadoop: A MapReduce Framework for Spatial Data". In Proceedings of the IEEE International Conference on Data Engineering, IEEE ICDE 2015, Seoul, South Korea, April, 2015.
  • Ahmed Eldawy. Mohamed F. Mokbel, Saif Alharthi, Abdulhadi Alzaidy, Kareem Tarek and Sohaib Ghani, "SHAHED: A MapReduce-based System for Querying and Visualizing Spatio-temporal Satellite Data". In Proceedings of the IEEE International Conference on Data Engineering, IEEE ICDE 2015, Seoul, South Korea, April, 2015. (Best poster runner-up)
  • Ahmed Eldawy. Saif Alharthi, Abdulhadi Alzaidy, Anas Daghistani, Sohaib Ghani, Saleh Basalamah, Mohamed F. Mokbel, "A Demonstration of SHAHED: A MapReduce-based System for Querying and Visualizing Satellite Data", In Proceedings of the IEEE International Conference on Data Engineering, IEEE ICDE 2015, Seoul, South Korea, April, 2015.
  • Reem Y. Ali, Venkata M.V. Gunturi, Shashi Shekhar, Ahmed Eldawy, Mohamed F. Mokbel, Andrew J. Kotz and William F. Northrop. "Future Connected Vehicles: Challenges and Opportunities for Spatio-temporal Computing" (Vision paper), In Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2015 (Best vision paper runner-up)
  • Ahmed Eldawy, Mostafa Elganainy, Ammar Bakeer, Ahmed Abdelmotaleb and Mohamed F. Mokbel, "Sphinx: Distributed Execution of Interactive SQL Queries on Big Spatial Data" (Poster paper), In Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2015
  • Ahmed Eldawy and Mohamed F. Mokbel, "The Era of Big Spatial Data: A Survey" (Invited paper), Database Society of Japan, DBSJ, 13(1), 2015
  • Ahmed Eldawy and Mohamed F. Mokbel. "The Era of Big Spatial Data". In Proceedings of the International Workshop of Cloud Data Management CloudDM 2015 co-located with IEEE ICDE 2015, Seoul, Korea, April 2015.

2014

  • Louai Alarabi, Ahmed Eldawy, Rami Alghamdi, and Mohamed F. Mokbel, "TAREEG: A MapReduce-Based Web Service for Extracting Spatial Data from OpenStreetMap" (Demo paper), In Proceedings of ACM SIGMOD Conference on Management of Data, ACM SIGMOD 2014, Snowbird, UT.
  • Ahmed Eldawy, Justin J. Levandoski and Per-Åke Larson. "Trekking Through Siberia: Managing Cold Data in a Memory-Optimized Database". In Proceedings of the the International Conference on Very Large Databases, VLDB 2014, Hangzou, China, September 2014.
  • Ahmed Eldawy and Mohamed F. Mokbel. "Pigeon: A Spatial MapReduce Language" (Demo paper), In Proceedings of the 30th International Conference on Data Engineering IEEE ICDE 2014, Chicago, IL.
  • Mohamed F. Mokbel, Louai Alarabi, Jie Bao, Ahmed Eldawy, Amr Magdy, Mohamed Sarwat, Ethan Waytas, and Steven Yackel. "A Demonstration of MNTG - A Web-based Road Network Traffic Generator" (Demo paper), In the Proceedings of the 30th International Conference on Data Engineering IEEE ICDE 2014, Chicago, IL.
  • Louai Alarabi, Ahmed Eldawy, Rami Alghamdi, and Mohamed F. Mokbel. "TAREEG: A MapReduce-Based System for Extracting Spatial Data from OpenStreetMap", 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2014, Dallas, TX.
  • Ahmed Eldawy. "SpatialHadoop: Towards Flexible and Scalable Spatial Processing using MapReduce", In proceedings of the 2014 SIGMOD PhD Symposium SIGMOD PhD 2014, June 22, 2014, Snowbird, UT.
  • Ahmed Eldawy and Mohamed F. Mokbel. "The Ecosystem of SpatialHadoop", ACM SIGSPATIAL Special 6(3): 3-10 (2014)

2013

2012

2011