David M. Mount
Scholar

David M. Mount

Google Scholar ID: v6PsQKIAAAAJ
Professor of Computer Science, University of Maryland
Computational geometrygeometric data structures
Citations & Impact
All-time
Citations
5,773
 
H-index
23
 
i10-index
44
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published approximately 200 research papers. Served on editorial boards and committees for multiple academic journals and conferences, including Computational Geometry: Theory and Applications (CGTA), International Journal of Computational Geometry and Applications (IJCGA), and more. Also participated in organizing many international conferences such as SOSA 2025, SoCG 2024, etc.
Research Experience
  • Conducts research in computational geometry, focusing on the design, analysis, and implementation of data structures and algorithms for geometric problems. Involved in several software projects such as ANN (library for approximate nearest neighbor searching), ALTS (Adaptive Algorithm for the LTS Linear Estimator), KMeans (efficient algorithms for k-means clustering), and ISODATA (efficient implementation of the ISODATA/ISOCLUS clustering algorithm).
Education
  • No specific educational background information provided.
Background
  • Professor in the Dept. of Computer Science and Institute for Advanced Computer Studies (UMIACS) at the University of Maryland. A Fellow of the ACM and twice received ACM Recognition of Service Awards. Research interests focus on computational geometry, particularly the design, analysis, and implementation of data structures and algorithms for geometric problems with applications in areas such as image processing, pattern recognition, information retrieval, and computer graphics.
Miscellany
  • Co-authored a textbook titled 'Data Structures and Algorithms in C++' (2nd Edition) with Mike Goodrich and Roberto Tamassia, published by Wiley.
Co-authors
0 total
Co-authors: 0 (list not available)