报告人：明尼苏达大学教授，Mohamed F. Mokbel博士
Abstract: In recent years, there has been an explosion in the amounts of spatial and spatio-temporal data produced from several devices including smart phones, space telescopes, medical devices. Unfortunately, managing and analyzing such big spatial data is hampered by the lack of specialized systems, techniques, and algorithms. While big data is well supported with a variety of distributed systems and cloud infrastructure, none of these systems or infrastructure provide any special support for spatial or spatio-temporal data. This talk presents our efforts in indexing, querying, and visualizing big spatial and spatio-temporal data.
Mohamed F. Mokbel教授简介
Bio: Mohamed F. Mokbel (Ph.D., Purdue University, MS, B.Sc., Alexandria University) is a Professor in the Department of Computer Science and Engineering, University of Minnesota. His research interests include the interaction of GIS and location-based services with database systems and cloud computing. His research work has been recognized by the VLDB 10-Years Best Paper Award, five Best Paper Awards, and by the NSF CAREER award. Mohamed has held prior visiting positions at Microsoft Research and Hong Kong Polytechnic U., and is a co-founder of the GIS Technology Innovation center in Saudi Arabia. Mohamed is/was the program co-chair for ACM SIGMOD 2018, ACM SIGSPATIAL GIS from 2008 to 2010, and IEEE MDM 2011 and 2014. He is Editor-in-Chief for Springer Distributed and Parallel Databases journal, and Associate Editor for ACM Books, ACM TODS, ACM TSAS, VLDB journal, and GeoInformatica. Mohamed is an elected Chair of ACM SIGSPATIAL 2014-2017.
For more information, please visit: www.cs.umn.edu/~mokbel.