Suprio Ray
Scholar

Suprio Ray

Google Scholar ID: fWQrwFkAAAAJ
Professor, University of New Brunswick, Fredericton
database systemsbig data systemsspatiotemporal databasesscalable data science
Citations & Impact
All-time
Citations
1,420
 
H-index
20
 
i10-index
40
 
Publications
20
 
Co-authors
15
list available
Publications
1 items
Resume (English only)
Academic Achievements
  • Specific academic achievements such as publications and awards are not detailed.
Research Experience
  • Current research projects include: 1. Scalable Data Science and Advanced Analytics, where he developed the Sanzu data science benchmark and PySnippet automatic code snippet feature, and DaskDB, a scalable data science system. 2. Data Management on Modern Hardware, focusing on optimizing query processing in in-memory databases.
Education
  • Ph.D. from the University of Toronto, M.Sc. from the University of British Columbia, and B.E. from NIT, Trichy. Worked as a software engineer at Oracle, Lucent Technologies (Bell Labs), and Webtech Wireless. Conducted a PhD research internship at SAP.
Background
  • A Professor at the Faculty of Computer Science, University of New Brunswick, leading the Big Data Systems and Analytics Lab. Research interests include big data management, scalable data science, spatial and spatio-temporal data processing, query processing on modern hardware, privacy, security, and provenance in database systems; blockchain data management, parallel and distributed systems, and cloud computing.
Miscellany
  • Interested in potential graduate students with strong programming and software implementation skills, especially those with previous research or industry experience. PhD students usually receive full funding.