PhD Scholar | National university of sciences and technology | Pakistan
Dr. Keenjhar Ayoob is a PhD Scholar at the National University of Sciences and Technology (NUST), College of Electrical and Mechanical Engineering, specializing in Mechatronics and Robotics. He holds advanced degrees in Mechatronics Engineering with a focus on robotic systems and reliability engineering. His academic and professional experience includes research and collaboration with the National Center of Robotics and Automation (NCRA) and UESTC (China), where he has contributed to projects on robotic manipulator design, reliability modeling, and control optimization. Dr. Ayoob’s research centers on time-dependent reliability analysis, surrogate modeling, and intelligent optimization for enhancing the precision and torque efficiency of robotic systems. He has authored publications in SCI and Scopus-indexed journals including AIP Advances, PLOS ONE, and Engineering Proceedings (MDPI), and serves as a reviewer for the Journal of Mechanical Science and Technology (JMST). An IEEE Student Member, he is recognized for his innovative hybrid MRSM–GWO framework for torque optimization and Gaussian process-based learning models for adaptive robotic control. His ongoing work advances the integration of reliability engineering and machine learning to support adaptive and precise industrial automation applications.
Profile: ORCID
Featured Publications
Keenjhar Ayoob*, Reliability and torque optimization of robotic manipulators using hybrid MRSM–GWO framework. AIP Advances, Accepted.
Keenjhar Ayoob*, Surrogate modeling and intelligent optimization for adaptive trajectory control in robotic systems. PLOS ONE, Published.
Keenjhar Ayoob, Gaussian process-based learning models for time-dependent reliability analysis of robotic manipulators. Engineering Proceedings (MDPI), Published.