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, SIGSPATIAL 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 Computer Science PhD students to join my lab in Spring 2022 and Fall 2022. Full financial support is avaialble. Please read my ad here.

News

  • 08/15/2021: A full research paper about partition-aware Deep Learning framework has been accepted to ACM SIGSPATIAL 2021.

  • 08/09/2021: My first proposal as the lead PI received $1.25 million from NSF EarthCube program (my share $293,452). In this collaborative project with University of Maryland (led by Prof. Yiqun Xie), we are committed to building ICESpark, an open-Source big data platform for science discoveries in the Arctic, on top of Apache Sedona. See my funding.

  • 07/29/2021: Our team at WSU - AgAID Institute - is one of 11 NSF National AI Institutes this year. We received $20M from NSF and NIFA for the next 5 years! [ NSF News] [ AgAID website] [ Twitter].

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

    • 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.

Interests

  • Database systems
  • Distributed data systems
  • Geospatial data management

Education

  • 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)

Latest