Hamood Ur Rehman
Papers
3
Total Citations
148
H-Index
3
About
Hamood Ur Rehman is an emerging researcher at the forefront of intelligent manufacturing systems, with a specialization in digital twins, artificial intelligence, and Industry 4.0 technologies. His work centers on developing adaptive, reconfigurable manufacturing frameworks that transcend the limitations of traditional static digital twin approaches, enabling industrial systems to become more resilient, responsive, and productive in dynamic environments. Rehman's most influential contribution, a 2023 framework integrating modular artificial intelligence with digital twins for manufacturing system reconfiguration and optimisation, has already garnered an impressive 130 citations, signaling strong uptake within the research community. Building on earlier foundational work published in 2022, his research establishes systematic methodologies for deploying AI-driven digital twins across complex, evolving production systems rather than isolated processes. His most recent 2025 work advances this trajectory further by introducing self-learning decision-making capabilities for industrial robots, addressing the critical challenge of autonomous adaptation under uncertainty with minimal physical data dependency. Collectively, Rehman's contributions represent a coherent and growing research program aimed at realizing truly intelligent manufacturing. His rapidly accumulating citation record suggests his frameworks are becoming reference points for researchers and practitioners navigating the intersection of digital twin technology and AI-driven industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3