Mohammadreza Razzazi

Amirkabir University of Technology, Institute for Research in Fundamental Sciences

Papers

Total Citations

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About

Mohammadreza Razzazi is a researcher whose work sits at the intersection of computational geometry, robotics, and algorithm design. His primary contributions focus on combinatorial filter reduction—a critical problem in robotics for minimizing sensor processing complexity—and the geometric challenge of finding two disjoint simple paths, a problem with direct applications in robot motion planning and polygon generation. Razzazi’s most cited paper, "Combinatorial filter reduction: Special cases, approximation, and fixed-parameter tractability" (2016, 11 citations), provides foundational algorithmic insights into reducing filter size while preserving functionality. In related work, he introduced "Improper Filter Reduction" (2017), which allows for behavioral changes during reduction, expanding the practical utility of these methods. His research on "Minimum cost open chain reconfiguration" (2011) and "Near-Optimum Folding for a Reconfigurable Snake-Like Robot" (2009) demonstrates a hands-on approach to improving robot reachability and obstacle avoidance through link folding. Though his citation counts are modest, Razzazi’s work is notable for tackling hard, specialized problems in geometric algorithms and robotics, offering approximation and fixed-parameter tractable solutions that advance both theoretical understanding and practical implementation.