Suprio Ray

Suprio Ray is an Associate Professor in the Faculty of Computer Science at the University of New Brunswick, Canada, leading the Big Data Systems and Analytics Lab. He holds a PhD from the University of Toronto, an M.Sc. from the University of British Columbia, and a B.E. from NIT Trichy. Previously, he worked in industry roles at Oracle, Bell Labs, and Webtech Wireless, and completed a PhD internship at SAP.

His research focuses on scalable data systems, spatial/spatio-temporal data management, and modern hardware utilization. Key projects include the Jackpine spatial database benchmark, DaskDB (a scalable data science system), and NUMA-aware query processing. He collaborates across disciplines with ECE and GGE departments, supported by grants from NBIF, NSERC, and industry partners.

Research interests span Big Data systems, privacy/security in databases, blockchain analytics, and parallel/distributed computing. He has pioneered techniques like STILT multi-dimensional indexes, privacy-preserving spatial queries (Pystin), and learned spatial indexes. Over 60 publications appear in top venues like SIGMOD, ICDE, and IEEE BigData.

• Education:
  • PhD (Computer Science), University of Toronto (2015)
  • M.Sc. (Computer Science), University of British Columbia (2003)
  • B.E. (Computer Science & Engineering), NIT Trichy (2000)

Teaching includes courses on big data systems (CS4545/6545), database foundations (CS6585), and data science (CS2545). He advises graduate students in scalable analytics and spatial systems, emphasizing industry-relevant software skills.

Key awards include the 2024 ACM SIGSPATIAL best poster award, IBM Best Student Paper (2014), and Harrison McCain Foundation award (2016). His work has been recognized with 7 best paper awards and 3 patents.

Current projects explore FPGA-accelerated joins, serverless data analytics, and privacy-preserving blockchain queries. Past contributions include the GEMM mobility model (2003) and foundational spatial benchmarks.