Mohammad Mehedi Hassan
Papers
7
Total Citations
341
H-Index
6
About
Mohammad Mehedi Hassan is a leading researcher at the intersection of cognitive manufacturing, edge computing, and artificial intelligence, with a particular focus on intelligent robotics and cyber-physical systems. His seminal work, "iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing," has garnered 161 citations, establishing a foundational framework for smart industrial automation. Hassan has made significant contributions to mobile target coverage and tracking, as demonstrated by his work on the Drone-Be-Gone UAV Cyber-Physical Testbed (73 citations), which advances environmental monitoring and surveillance capabilities. His innovative fusion of smart clothing, edge clouds, and robotics in AI-enabled emotion-aware systems (53 citations) represents a pioneering step toward human-centric intelligent environments. More recently, Hassan has explored IoT-enabled deep learning for remote sensing object detection (27 citations) and situation-aware disaster management through visual servoing and deep learning (12 citations). His work on cloud storage-based secure big data analytics for drone-assisted healthcare 5.0 (5 citations) further demonstrates his versatility in applying AI to critical domains. With over 340 citations across his most influential papers, Hassan continues to shape the future of intelligent automation, edge computing, and collaborative robotics.
Research Focus
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Top Papers
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