Dheyaa Ahmed Ibrahim
Papers
2
Total Citations
258
H-Index
2
About
Dheyaa Ahmed Ibrahim is a leading researcher at the intersection of fog computing, machine learning, and the Internet of Medical Things (IoMT). His work addresses the critical challenge of processing massive data streams generated by distributed systems, particularly in healthcare environments. His highly cited 2019 review, "A Review of Fog Computing and Machine Learning" (215 citations), established a foundational framework for integrating ML with fog architectures, highlighting key applications and open challenges that continue to shape the field. Building on this, Ibrahim has pioneered bio-inspired approaches to enhance system efficiency and security. His 2021 paper on bio-inspired robotics in blockchain-fog-cloud assisted IoMT environments (43 citations) demonstrates how nature-inspired algorithms can optimize sensor data processing and secure data transactions across decentralized networks. By combining fog computing, blockchain, and bio-inspired robotics, Ibrahim is advancing next-generation IoMT systems that are both intelligent and resilient. His work is essential reading for researchers exploring scalable, secure, and adaptive architectures in healthcare and beyond.
Research Focus
Key Achievements
Top Papers
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