Hanan Samet – ACM SIGGRAPH HISTORY ARCHIVES

Hanan Samet

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Most Recent Affiliation(s):


  • University of Maryland

Location:


  • College Park, Maryland, United States of America

Bio:

  • SIGGRAPH ASIA 2016

    Hanan Samet (http://www.cs.umd.edu/~hjs) is a Distinguished University Professor of Computer Science at the University of Maryland where he researches using hierarchical data structures for GIS and spatial and image databases. He wrote “Foundations of Multidimensional and Metric Data Structures,” Morgan-Kaufmann, 2006 and the first two texts in the field “Design and Analysis of Spatial Data Structures” and “Applications of Spatial Data Structures: Computer Graphics, Image Processing and GIS”. His Ph.D is from Stanford. He recieved the 2011 ACM Paris Kanellakis Theory and Practice, 2014 Computer Society McDowell, and the 2009 UCGIS Research Awards.

    SIGGRAPH ASIA 2010

    Hanan Samet is a professor of computer science at the University of Maryland, where he researches hierarchical data structures for GIS and spatial databases. He wrote Foundations of Multidimensional and Metric Data Structures (Morgan-Kaufmann, San Francisco, CA, 2006) and the first two texts in the field: Design and Analysis of Spatial Data Structures and Applications of Spatial Data Structures: Computer Graphics, Image Processing and GIS. His Ph.D is from Stanford University. He is founding chair of ACM SIGSPATIAL; a fellow of ACM, IEEE, and IAPR; and winner of the 2009 UCGIS Research Award.

    SIGGRAPH 2008

    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, and IAPR (International Association for Pattern Recognition).

     In 1975 he joined the Computer Science Department at the University of Maryland, College Park, where he is now a Professor. 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 Spatial Browser 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), a symbolic image database system, and the STEWARD spatio-textual document search engine. 

    His research interests are data structures, computer graphics, geographic information  systems, computer vision, robotics, and database management systems. He is the author of the recent book titled Foundations of Multidimensional and Metric Data Structures  (http://www.mkp.com/multidimensional) published by Morgan-Kaufmann, an imprint of Elsevier, in 2006, 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 is an Area Editor of Graphical Models and Image Processing and on the Editorial Board of Image Understanding, Journal of Visual Languages, and GeoInformatica. He is the co-general chair of the 15th and 16th ACM International Symposium on Advances in Geographic Information Systems (ACM GIS 2007 and  ACM GIS 2008) and is the founding chair of the ACM Special Interest Group on Spatial Information (SIGSPATIAL). In 1989-1991 he served as the Capital Region Representative to the ACM and  4  was a member of the ACM Council. He received a best paper award in the 2008 ACM SIGMOD Conference.   

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Award(s):


  • ACM SIGGRAPH Academy Member

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