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Last updated: December 31, 2021
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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.
People
Principle Investigator: Fusheng Wang
Students:
  • Kayley Abell-Hart, Ph.D.student, Stony Brook University
  • Hongyi Duanmu, Ph.D. student, Stony Brook University
  • Mousumi Roy, Ph.D. student, Stony Brook University
  • Lu Chen, Ph.D. student, Stony Brook University
Past members:
  • Dejun Teng, Ph.D., Stony Brook University. First employement: Alibaba
  • Furqan Baig, Ph.D., Stony Brook University. First employement: PostDoc at UIUC
  • Hoang Vo, Ph.D., Stony Brook University. First employement: Pitney Bowes.
  • Xin Chen, Ph.D., Stony Brook University. First employement: Cambia Health Solutions
  • Yanhui Liang, Ph.D., Stony Brook University. First employment: Google Research
  • Ablimit Aji, Stony Brook University. First employment: HP Labs
Publications
Software
Patent
  • Y. Liang, F. Wang and H. Vo: System and method associated with progressive spatial analysis of prodigious 3d data including complex structures. United States Patent No. 11,188,738. November 30, 2021.