Wasim Ahmad Khan

National College of Business Administration and Economics

Papers

Total Citations

H-Index

About

Wasim Ahmad Khan is a pioneering researcher at the intersection of cloud robotics and cognitive computing, with a primary focus on trust mechanisms and attention-driven task planning in autonomous systems. His work addresses a critical challenge in robotics: how machines can prioritize sensory inputs and build reliable human-robot trust in cloud-connected environments. In his most cited paper, "Trust identification through cognitive correlates with emphasizing attention in cloud robotics" (2022, 9 citations), Khan demonstrates how selective attention models—inspired by human cognition—enable robots to filter competing stimuli and focus on high-priority tasks, thereby enhancing operational safety and efficiency. His earlier study, "Intelligent task planner for cloud robotics using level of attention empowered with fuzzy system" (2020, 5 citations), further advances this paradigm by integrating fuzzy logic to dynamically adjust attention levels, allowing robots to adapt to uncertain, real-world scenarios. Though his citation counts are modest, Khan’s contributions are foundational for next-generation cloud robotics, where cognitive architectures must balance computational load with real-time responsiveness. His work is particularly notable for bridging artificial intelligence, cognitive science, and robotics, offering a roadmap for developing more intuitive and trustworthy autonomous systems. Researchers and students in human-robot interaction and cloud computing will find his insights invaluable for designing robots that think and act with human-like discernment.