Ali A. Abushaiba Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Ali A. Abushaiba's research focuses on intelligent industrial automation, machine learning applications, and real-time control systems. His work includes a review of machine learning applications integrated with digital twin and edge AI technologies for industrial automation. Abushaiba has also investigated the integration of microcontrollers with MATLAB Simulink for embedded real-time control applications. His publications also cover sensorless control methods for permanent magnet synchronous motors using reduced-order observers and comparative evaluations of DC-DC converter topologies for electric vehicle chargers.
Abushaiba's scholarship metrics include an h-index of 6, with 10 total publications and 92 total citations. He has collaborated with Kamran Iqbal, Mohammad Rahman, and Md Farhan Shahrior, each with whom he shares two publications, all at the University of Arkansas at Little Rock. His most recent publication is from 2025, indicating recent activity in his research.
Metrics
- h-index: 6
- Publications: 11
- Citations: 102
Selected Publications
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Reinforcement Learning-based Control in DC-DC Converters: A Survey (2025)
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Comparative Evaluation of DC–DC Converter Topologies for Electric Vehicle Chargers (2025)
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Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025)
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Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration (2025)
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Integration of C2000 Microcontrollers with MATLAB Simulink Embedded Coder: A Real-Time Control Application (2024)
Collaboration Network
Top Collaborators
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Comparative Evaluation of DC–DC Converter Topologies for Electric Vehicle Chargers
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration
- Sensorless Control for Permanent Magnet Synchronous Motor (PMSM) Using the Mechanical Model of the Motor with a Reduced Order Observer
- Sensorless Control for Permanent Magnet Synchronous Motor (PMSM) Using the Mechanical Model of the Motor with a Reduced Order Observer
- Integration of C2000 Microcontrollers with MATLAB Simulink Embedded Coder: A Real-Time Control Application
- Integration of C2000 Microcontrollers with MATLAB Simulink Embedded Coder: A Real-Time Control Application
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