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About

Dr. Mohammed Nasser Al‐Mhiqani is a leading researcher at the intersection of fog computing, machine learning, and intelligent robotic systems. His seminal 2019 review, “A Review of Fog Computing and Machine Learning,” has amassed over 215 citations, establishing a foundational framework for integrating ML with edge architectures to address the data deluge from IoT applications. Dr. Al‐Mhiqani’s work is distinguished by its practical impact on healthcare and robotics. He developed a robust EEG feature fusion framework for motor imagery, cited 70 times, which significantly advances stroke patient rehabilitation by enabling more accurate brain-computer interfaces. His 2022 review on learning-based robotic manipulation in cluttered environments (39 citations) synthesizes dexterous grasping techniques, pushing the boundaries of how robots safely assist humans in hazardous tasks. By bridging theoretical challenges in fog computing with tangible solutions in neurorehabilitation and autonomous manipulation, Dr. Al‐Mhiqani’s research directly shapes next-generation assistive technologies, making him a pivotal figure in applied AI and robotics.