Fusheng Wang, 'Spatial big data management at extreme scale: from GIS to Medical Imaging'

Dates: 
Friday, November 19, 2021 - 2:40pm to 3:50pm
Location: 
Zoom - contact events@cs.stonybrook.edu for Zoom info.
Event Description: 

Abstract: 

Enabled by Internet of Things, ubiquitous positioning services, high-throughput sensing and imaging technologies, spatial data is generated at unprecedented scale. This leads to high I/O cost and computational complexity, and poses significant challenges for managing, querying, analyzing and visualizing the data.  In this talk, I will introduce driving spatial big data applications, from GIS to digital pathology, and human tissue atlases (HubMAP), which can provide trillions of 3D cells of the human body. I will present our work on building highly scalable spatial big data management systems, from 2D to 3D, which advance spatial big data management through novel compression, indexing, a progressive spatial querying paradigm, cloud computing and hybrid CPU-GPU computing. I will also briefly discuss their applications to GIS based public health studies, and contact training at scale for COVID’19. 

Bio: Dr. Fusheng Wang is an Associate Professor at Department of Computer Science and Department of Biomedical Informatics at Stony Brook University. He received his Ph.D. in Computer Science from University of California, Los Angeles, and M.S. and B.S. in Engineering Physics from Tsinghua University, China. Prior to joining Stony Brook University, he was an assistant professor at Emory University. He was a research scientist at Siemens Corporate Research (Princeton, NJ) before joining Emory University. His research interests include spatial big data management, pathology imaging informatics, population health and AI in healthcare. 

Computed Event Type: 
Mis