Mazin Abed Mohammed

University of Anbar

Papers

3

Total Citations

263

H-Index

3

About

Mazin Abed Mohammed is a leading researcher at the intersection of fog computing, machine learning, and the Internet of Medical Things (IoMT). His work is distinguished by its focus on integrating intelligent systems with healthcare and assistive robotics, creating scalable, secure, and efficient solutions for real-world challenges. His highly cited 2019 review on fog computing and machine learning, with over 215 citations, has become a foundational resource, mapping the concepts, applications, and open issues of this rapidly evolving field. Mohammed has further advanced the field by pioneering bio-inspired robotics schemes within blockchain-fog-cloud architectures for IoMT environments, addressing critical needs for data security and performance in sports and medical monitoring. His most recent work explores federated learning-driven IoT and edge cloud networks for smart wheelchair systems, demonstrating a commitment to applying cutting-edge AI to improve quality of life for people with disabilities. Through these contributions, Mohammed has established himself as a key innovator in building the next generation of intelligent, decentralized, and human-centric cyber-physical systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
263
Total Citations
88
Avg Citations/Paper
🏆 Most Cited Paper
A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues
215 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Anbar

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago