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Last updated: July 13, 2020
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Project Title: High Performance Spatial Queries and Analytics for Spatial Big Data
The goal of this CAREER project is to address the research challenges for delivering a high performance software system for spatial queries and analytics of spatial big data on MapReduce and CPU-GPU hybrid platforms, promote the use of the created open source software to support problem solving in multiple disciplines, and educate the next generation workforce in big data.
Principle Investigator: Fusheng Wang
  • Kayley Abell-Hart, Ph.D.student, Stony Brook University
  • Dejun Teng, Ph.D. student, Stony Brook University
  • Hongyi Duanmu, Ph.D. student, Stony Brook University
  • Mousumi Roy, Ph.D. student, Stony Brook University
  • Furqan Baig, Ph.D. student, Stony Brook University
Past members:
  • Hoang Vo, Ph.D., Stony Brook University. First employement: Pitney Bowes.
  • Xin Chen, Ph.D., Stony Brook University.
  • Yanhui Liang, Ph.D., graduated in December, 2017. First employment: Google Research
  • Ablimit Aji, graduated in October, 2014. First employment: HP Labs
  • Y. Liang, F. Wang and H. Vo: System and method associated with progressive spatial analysis of prodigious 3d data including complex structures. US patent pending. Application No. 62/456,464, February 7, 2018.