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 (advisor: Mohamed Sarwat) in Summer 2020. 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 Geoinformatica 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 200,000 downloads per month and has users / contributors from major companies (e.g., Facebook, Uber, AT&T, and MoBike).
Here is a one-page summary of my research.
I am actively looking for Computer Science PhD students to join me in Spring 2021. Please read
Apache Sedona(formerly GeoSpark), has been accepted to The Apache Software Foundation (the home of Hadoop, Spark, Flink, and many more) and now is under incubation. New website, Git repo, and other infra will be online soon. Thanks for the support from everyone in this process!
Ph.D. in Computer Science, 2020
Arizona State University
BEng in Software Engineering, Outstanding Graduate, 2013
Northwest Agriculture and Forestry University, China (西北农林科技大学)
Micrsoft SQL Server
SIGMOD 2020 research paperALEX: An Updatable Adaptive Learned Index
relational model, SQL and DB2 DBMS
SIGMOD 2019 research paperDesigning Succinct Secondary Indexing Mechanism by Exploiting Column Correlations
VLDB 2019 demo paperHERMIT in action: Succinct secondary indexing mechanism via correlation exploration
Slides of my talks are usually available unless forbidden by Non-Disclosure Agreements