Samia Ashraf
Papers
1
Total Citations
25
H-Index
1
About
Dr. Samia Ashraf is a leading researcher in intelligent manufacturing and decision science, whose work bridges the gap between computational intelligence and industrial risk management. Her most-cited paper, "Improved risk assessment model based on rough integrated clouds and ELECTRE-II method: an application to intelligent manufacturing process" (2023, 25 citations), introduces a novel hybrid framework that combines rough set theory with cloud models and multi-criteria decision-making. This contribution provides a more robust, uncertainty-aware approach to evaluating risks in complex manufacturing environments, offering significant practical value for quality control and process optimization. Dr. Ashraf's research is distinguished by its methodological rigor and real-world applicability, addressing critical challenges in Industry 4.0. Her work has been recognized for its potential to enhance decision-making under uncertainty, and she continues to advance the field through innovative integrations of fuzzy logic, rough sets, and ELECTRE methods. With a growing citation impact, Dr. Ashraf is establishing herself as a key voice in the development of intelligent, data-driven risk assessment tools for modern manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1