Mahmoud A. Mohamed
Papers
3
Total Citations
19
H-Index
3
About
Mahmoud A. Mohamed’s research bridges the critical intersection of intelligent robotics, computer vision, and smart infrastructure, with a focus on enhancing safety and efficiency in dynamic environments. His work spans two major domains: the application of advanced technologies in aviation and real-time autonomous systems. In his most cited paper (8 citations), he explores the potential of smart airport technologies for Egyptian international airports, addressing how airports can evolve into proactive, tech-driven transportation hubs. His foundational work in mobile robotics (7 citations) introduces a real-time approach for tracking multiple moving objects using dense optical flow, a key capability for robots operating in unpredictable settings. More recently, Mohamed has tackled the high-stakes challenge of hazard detection, developing an attention-accelerated system for recognizing hazmat labels (4 citations)—a vital contribution for rescue robots that must reliably identify danger signs in cluttered, chaotic scenes. Through these contributions, Mohamed demonstrates a consistent commitment to making autonomous systems more perceptive, responsive, and practically deployable, with clear implications for both public safety and infrastructure modernization.
Research Focus
Key Achievements
Top Papers
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- 3Seeing Signs of Danger: Attention-Accelerated Hazmat Label Detection4 citations · 2018