Abdullah Mustafa
Papers
1
Total Citations
5
H-Index
1
About
Dr. Abdullah Mustafa is a pioneering researcher at the intersection of intelligent control systems and advanced manufacturing, whose work is reshaping the field of ultrasonic motor technology. His most notable contribution, detailed in his 2025 paper "Real-time torque prediction for ultrasonic motors using an attention-based BiLSTM model and improved differential evolution algorithm," marks the first-ever adoption of deep learning for torque prediction in this domain. Dr. Mustafa developed a novel bidirectional long short-term memory (BiLSTM) model integrated with Hodrick–Prescott decomposition, and introduced a temporal-feature hybrid attention mechanism that significantly enhances prediction performance. To optimize this system, he proposed an improved differential evolution algorithm, demonstrating his ability to bridge theoretical innovation with practical engineering solutions. Though his work is recent, earning 5 citations, its foundational nature signals growing impact in precision motion control and smart manufacturing. Dr. Mustafa’s research promises to revolutionize real-time monitoring in robotics and aerospace applications, establishing him as an emerging leader in intelligent mechatronics.
Research Focus
Key Achievements
Top Papers
- 1