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About

Mehdi Khoury is a researcher whose work sits at the intersection of human motion analysis, fuzzy logic, and robotics. His primary contributions lie in developing fuzzy qualitative approaches to sensing and recognizing human motion, particularly hand movements, by integrating multisensory information. This work has practical implications for human-robot interaction, rehabilitation, and assistive technologies. Among his most cited publications, "Human Motion Sensing and Recognition: A Fuzzy Qualitative Approach" (2017, 9 citations) and "Human Hand Motion Analysis with Multisensory Information" (2017, 8 citations) stand out as foundational pieces. Khoury has also extended fuzzy qualitative methods into new domains with "Fuzzy Qualitative Trigonometry" (2017, 2 citations) and "Fuzzy Qualitative Robot Kinematics" (2017, 2 citations), demonstrating a systematic effort to build a formal framework for reasoning about spatial and kinematic relationships under uncertainty. While his citation counts are modest, they reflect a focused, early-stage research program that has laid important groundwork for future work in qualitative reasoning and embodied intelligence.