Sharifah E. Alhazmi
Papers
1
Total Citations
6
H-Index
1
About
Dr. Sharifah E. Alhazmi is a leading researcher at the intersection of artificial intelligence, mathematical modeling, and biomedical engineering. Her work focuses on developing novel computational frameworks to solve complex dynamical systems, with a particular emphasis on applying neural network architectures to real-world challenges in epidemiology and robotics. Her most cited paper, "Swarming Morlet wavelet neural network procedures for the mathematical robot system" (2022, 6 citations), introduces an innovative AI-based Morlet wavelet neural network (MWNN) to model the spread of positive coronavirus cases. In this study, she conceptualizes a mathematical robot system (MRS) divided into infected and robot classes, demonstrating how swarm intelligence and wavelet-based neural networks can effectively simulate and predict disease dynamics. This contribution showcases her ability to merge cutting-edge machine learning techniques with practical public health applications. Dr. Alhazmi's work is notable for its interdisciplinary approach, bridging theoretical mathematics, AI optimization, and epidemiological modeling. Her research holds significant promise for developing intelligent robotic systems capable of assisting in pandemic response and healthcare monitoring.
Research Focus
Key Achievements
Top Papers
- 1