My research spans the areas of Big Data, databases systems and
management, with emphasis on graph data, graph query models and
languages, distributed and dynamic graphs. My current work has
concentrated on effective data analytics in emerging applications such
as knowledge graphs, network security and social newtork analysis. My
broader interests include data quality, network science, web services
and information visualization.
paper "Parallelizing Sequential Graph Computations" is accepted by SIGMOD 17.
paper "Mining Summaries for Knowledge Graph Search" is accepted by ICDM 16.
2016.9 Our research proposal got funded by NSF BIGDATA grant.
to Qi Song for being selected with full travel support to NSF Graduate Data
Science Workshop, Seattle, 2016.
Welcome our new students Keyvan
I will teach "Big
Data" (CPT_S 415, Tu/Th 16:15-17:30,
Sloan 163) in Fall 2016.
paper "Functional Dependencies for Graphs" is accepted by SIGMOD 16.
paper "Fast Top-K Search in Knowledge Graphs" is accepted by ICDE 16.
I will teach a new course "Advanced
Databases" (CPT_S 580-06, Tu/Th 9:15-10:30)
in Spring 2016.
paper "Adding Counting Quantifiers to Graph Patterns" is accepted by SIGMOD 16.
to Qi Song
and Jin Tao
for being selected with full travel support to NSF Graduate Data
Science Workshop, Seattle!
to Qi Song
for winning a full travel grant for EDBT summer school, Barcelona Spain!
I am looking for highly motivated and hardworking students who are
interested in tackling challenges (theory, algorithms, systems) in
different areas, including data science, databases, networking, social
If you are interested in these areas and working with me at WSU, please
send me an email with your CV, transcripts, publications (if
applicable), and any additional materials.