Ali A. Abushaiba Source Confirmed

OverviewAI-generated summary

Ali A. Abushaiba's research interests lie in the domain of intelligent industrial automation, focusing on the integration of machine learning, digital twins, and edge artificial intelligence. He has contributed to a review of machine learning applications within these areas, exploring their potential to enhance industrial processes. His work also extends to real-time control systems, including the integration of microcontrollers with software like MATLAB Simulink Embedded Coder for embedded system development. Furthermore, Abushaiba has investigated advanced control strategies for electric motors, such as sensorless control for permanent magnet synchronous motors utilizing reduced-order observers and mechanical motor models. His scholarly contributions are reflected in a citation count of 81 across 9 publications, with an h-index of 5. He has collaborated with Kamran Iqbal, Mohammad Rahman, and Md Farhan Shahrior, all from the University of Arkansas at Little Rock, with whom he shares multiple publications.

Metrics

• h-index: 5
• Publications: 9
• Citations: 81