Jia Yu is an Assistant Professor at Washington State University School of Electrical Engineering and Computer Science. He obtained his Ph.D. in Computer Science from Arizona State University in Summer 2020 under the guidance of Mohamed Sarwat. His research focuses on large-scale database systems and geospatial data management. In particular, he worked on distributed geospatial data management systems, database indexing, and geospatial data visualization. Jia’s research outcomes have appeared in the most prestigious database / GIS conferences and journals, including SIGMOD, VLDB, ICDE, SSTD and VLDB Journal. He is the main contributor of several open-sourced research projects such as Apache Sedona (incubating), a cluster computing framework for processing big spatial data, which receives 300,000 downloads per month and has users / contributors from major companies.

I am the director of Data Ocean Lab at Washington State University EECS. I am looking for 1 Computer Science PhD student to join my lab in Fall 2021 or Spring 2022. Full financial support is avaialble. Please read my ad here.


  • 06/15/2021: I will co-chair two workshops at ACM SIGSPATIAL 2021. The Call For Papers will be released soon.

    • The 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science ( SpatialAPI 2021)
    • The 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology ( SpatialEpi 2021)
  • 05/10/2021: Invited to be a Program Committee member of ACM SIGSPATIAL 2021.

  • 02/06/2021: Apache Sedona 1.0.0-incubating is released

  • 12/13/2020: Invited to be a Program Committee member of VLDB (Very Large Data Bases) 2021 Demo Track.

  • 11/30/2020: Invited to be a Program Committee member of SSTD (Symposium on Spatial and Temporal Databases) 2021.

  • 09/21/2020: A journal paper about scalable geospatial data visualization has been accepted to VLDB Journal

  • 07/06/2020: Our ALEX index, an updatable adaptive learned index, is now open-source on GitHub: Microsoft ALEX. Our implementation is a near drop-in replacement for std::map or std::multimap.


  • Database systems
  • Distributed data systems
  • Geospatial data management


  • Ph.D. in Computer Science, 2020

    Arizona State University

  • B.E. in Software Eng., Outstanding Graduate, 2013

    Northwest Agriculture and Forestry University, China (西北农林科技大学, Project 985 & 211)