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About

Mohd Salim Qureshi is a robotics and control systems researcher whose work sits at the intersection of intelligent control theory and medical robotics. His research primarily focuses on advanced control methodologies for robotic manipulators, with particular emphasis on sliding mode control (SMC), fuzzy logic systems, and their hybrid combinations. Qureshi's most influential contribution, a 2018 paper on supervisory online-tuned fuzzy logic-based sliding mode control for surgical robots (52 citations), established him as a notable voice in adaptive control for precision robotics applications. His comparative analysis of PID and sliding mode controllers for robotic manipulators has served as a valuable reference for researchers navigating controller selection for trajectory tracking tasks. Qureshi has consistently pushed toward more robust, intelligent control architectures, developing fuzzy-PID sliding mode hybrids that improve performance under uncertainty — work with direct implications for surgical robot safety and reliability. His responsiveness to emerging global challenges is evident in his 2020 contribution exploring robotic solutions to COVID-19. Across his publication record, Qureshi's cumulative citations reflect a growing body of influence in the specialized field of intelligent control for medical and industrial robotic systems.