Mohammad A. Nazzal

American University of Sharjah

Papers

2

Total Citations

26

H-Index

2

About

Mohammad A. Nazzal is a forward-thinking researcher whose work bridges the critical intersection of advanced manufacturing and control systems engineering. His primary research areas include Industry 4.0 technology adoption, multi-criteria decision-making, and the precision control of flexible robotic structures. Dr. Nazzal’s most impactful contribution is his 2023 paper on an Industry 4.0 Technology Selection Framework, which has already garnered 23 citations. This work provides a robust, resilience-focused methodology using Fuzzy AHP and Fuzzy TOPSIS to help manufacturing firms identify the most suitable digital technologies for their unique operational needs—a vital tool for navigating today’s complex industrial transformation. In parallel, his 2016 work on multimode input shaping control tackles a fundamental challenge in robotics: enabling lighter, more energy-efficient flexible manipulators to achieve the precision of their rigid counterparts. By using frequency modulation to suppress residual vibration, this research supports the development of faster, cheaper, and more sustainable robotic systems. Together, these contributions demonstrate Dr. Nazzal’s ability to solve both strategic, high-level industry problems and intricate, real-time control challenges, marking him as a versatile and impactful scholar in modern manufacturing and automation.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
An Industry 4.0 Technology Selection Framework for Manufacturing Systems and Firms Using Fuzzy AHP and Fuzzy TOPSIS Methods
23 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: American University of Sharjah

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago