
About
Klara Kedem is a Professor and former Chair of the Computer Science Department at Ben-Gurion University of the Negev, Israel. She holds a Ph.D. in Computer Science from Tel-Aviv University (1989). Her research focuses on computational geometry, bioinformatics, and computer vision, particularly in historical document analysis. Key contributions include the URMS method for robust shape matching and algorithms for degraded document processing.
Professional roles include editorial board memberships at PeerJ Computer Science and Frontiers in Digital Humanities. She has led projects on historical Hebrew and Arabic manuscript analysis, collaborating with institutions like Cornell University. Notable achievements include winning the H-DIBCO 2010 competition for document binarization.
Her work spans theoretical advancements (e.g., Voronoi diagrams, 3D structure comparisons) and practical applications (e.g., robot motion planning, protein structure alignment). Current projects involve cultural heritage digitization and pattern matching in ancient texts.
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