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My current research focuses on the fields of extensive raster and vector datasets. With the significant increase in high-resolution satellite data, there is a growing need for more efficient analytical methods.
One of my projects aims to provide data scientists with an interactive exploration framework. This framework enables them to apply queries without prior knowledge of the datasets and receive quick feedback.
Another aspect of my work involves optimizing a framework that allows for parallel reading and processing large-scale raster data.
Viper: Interactive Exploration of Large Satellite Data
In Proceedings of the 18th International Symposium on Spatial and Temporal Data, SSTD, August, 2023. Award of top 5 paper.
2022
Object Delineation in Satellite Images
In 4th ACM SIGSPATIAL International Workshop on Spatial Gems (SpatialGems 2022), November, 2022.
University of California, Riverside
PhD Student
2019 - 2021
University of California, Riverside
M.S. Computer Science
2014 - 2019
Lindenwood University, Missouri
B.S. Computer Science
UCR gradquant workshop: Bringing Satellite Data Down to Earth (May, 17, 2023)
CS 226 - Big-data Management (Fall 2022)
Vehicle Control Unit for Formula E
About Me
Riverside, California, USA
zshan011@ucr dot edu
Résumé
I am Zhuocheng Shang,
currently a PhD student at
University of California, Riverside
under the supervision of
Prof. Ahmed Eldawy.
Research Interests:
Big Data
Sptial Data
Distributed System
Database
Riverside, California, USA
zshan011@ucr dot edu
Résumé
I am Zhuocheng Shang,
currently a PhD student at
University of California, Riverside
under the supervision of
Prof. Ahmed Eldawy.
Research Interests:
Big Data
Sptial Data
Distributed System
Database
Current Research
Work RepositoriesMy current research focuses on the fields of extensive raster and vector datasets. With the significant increase in high-resolution satellite data, there is a growing need for more efficient analytical methods.
One of my projects aims to provide data scientists with an interactive exploration framework. This framework enables them to apply queries without prior knowledge of the datasets and receive quick feedback.
Another aspect of my work involves optimizing a framework that allows for parallel reading and processing large-scale raster data.
Publications
2023Viper: Interactive Exploration of Large Satellite Data
In Proceedings of the 18th International Symposium on Spatial and Temporal Data, SSTD, August, 2023. Award of top 5 paper.
2022
Object Delineation in Satellite Images
In 4th ACM SIGSPATIAL International Workshop on Spatial Gems (SpatialGems 2022), November, 2022.
Education
2021 - PresentUniversity of California, Riverside
PhD Student
2019 - 2021
University of California, Riverside
M.S. Computer Science
2014 - 2019
Lindenwood University, Missouri
B.S. Computer Science
Workshops
UCR DS Fellowship workshop: Intro to Satellite Data processing (August, 07, 2023)UCR gradquant workshop: Bringing Satellite Data Down to Earth (May, 17, 2023)
Teaching Assistant
CS 167 - Introduction to Big Data (Winter 2023)CS 226 - Big-data Management (Fall 2022)
Projects
Embedded C developmentVehicle Control Unit for Formula E