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Hanan Samet received the B.S. degree in engineering from the University of California, Los Angeles, and the M.S. Degree in operations research and the M.S. and Ph.D. degrees in computer science from Stanford University, Stanford, CA. He is a Fellow of the IEEE,ACM, IAPR (International Association for Pattern Recognition), and a Science Foundation of Ireland (SFI) E. T. S. Walton Fellow (2009). He was also elected to the ACM Council in 1989-1991 where he served as the Capital Region Representative.
In 1975 he joined the Computer Science Department at the University of Maryland, College Park, where he is now a Professor. He has also held visiting Professor positions at NTT in Japan, as well as at the National University of Singapore, University of Paris, University of Genoa, University of Pavia, and the Hebrew University of Jerusalem where he was the holder of the Lady Davis Fellowship. At the University of Maryland, he is a member of the Computer Vision Laboratory of the Center for Automation Research and also has an appointment in the University of Maryland Institute for Advanced Computer Studies. At the Computer Vision Laboratory he leads a number of research projects on the use of hierarchical data structures for geographic information systems. His research group has developed the QUILT system which is a GIS based on hierarchical spatial data structures such as quadtrees and octrees, the SAND system which integrates spatial and non-spatial data, the SAND Internet Browser (http://www.cs.umd.edu/~brabec/sandjava) which enables browsing through a spatial database using a graphical user interface, the VASCO spatial indexing applet (found at http://www.cs.umd.edu/~hjs/quadtree/index.html), and a symbolic image database system.
His research interests are data structures, computer graphics, geographic information systems, computer vision, robotics, and database management systems. He has published over 300 papers on these topics. He is the author of the recent book titled "Foundations of Multidimensional and Metric Data Structures" (http://www.cs.umd.edu/~hjs/multidimensional-book-flyer.pdf) published by Morgan-Kaufmann, an imprint of Elsevier, in 2006, an award winner in the 2006 best book in Computer and Information Science competition of the Professional and Scholarly Publishers (PSP) Group of the American Publishers Association (AAP), and of the first two books on spatial data structures titled "Design and Analysis of Spatial Data Structures", and "Applications of Spatial Data Structures: Computer Graphics, Image Processing, and GIS", both published by Addison-Wesley in 1990. He was the co-general chair of 15th ACM International Conference on Advances in Geographic Information Systems (ACM GIS 2007) and the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008). He is the founding chair of ACM SIGSPATIAL, and received best paper awards in the 2008 SIGMOD Conference, the 2008 SIGSPATIAL Conference, and the 2007 Computers & Graphics Journal. His paper at the 2009 IEEE International Conference on Data Engineering (ICDE) was selected as one of the best papers for publication in the IEEE Transactions on Knowledge and Data Engineering.
For more information on Hanan’s research: http://www.cs.umd.edu/~hjs/