General Information

Yiqun Zhang  Ph.D. in Computer Science   Advisor: Dr. Carlos Ordonez E-mail: contact at yzhang dot io

Summary

Yiqun Zhang received his BS degree in Computer Science from Liaoning University, China, in 2013. He received his MS and Ph.D. degree in Computer Science from the University of Houston, Houston, TX, in 2016 and 2017 respectively. Yiqun's research mainly focuses on parallel database systems.
Yiqun is now working at VoltDB, leading the SQL team for query processing/optimization tasks.
Ph.D. dissertation, 2017: "Multidimensional Aggregation in Parallel Database Systems"
Master's Thesis, 2016: "Scalable Machine Learning Algorithms in Parallel Database Systems Exploiting A Data Summarization Matrix"
(received the Best Master's Thesis Award in the Department of Computer Science, University of Houston, 2016)

Research Area: Database Systems

• DBMS analytics: big data analytics; statistical methods and models; MapReduce
• Matrix computations: linear algebra, gradient descent methods.
• SQL query optimization: data preprocessing, OLAP cubes, UDFs, join processing.
• Data mining: association rules, graph mining, incremental clustering, decision trees.
• Web data: processing, integration and search of documents in a DBMS.
• Software engineering: database modeling, data quality.

Publications listed on: Google Scholar, DBLP
You can find the source code of my research work through my Github profile.

Colleagues

• Wellington M. Cabrera
• David Sergio Matusevich

Social Networks