Zryan Najat Rashid
Papers
2
Total Citations
42
H-Index
2
About
Zryan Najat Rashid is a rising researcher whose work bridges the frontiers of robotics control and speech processing. His most impactful contribution lies in the development of advanced control systems for autonomous mobile robots. In his highly cited 2022 paper (36 citations), Rashid introduced a novel trajectory tracking controller for differential drive mobile robots (DDMRs) using a nonlinear neural network fractional-order proportional-integral-derivative (NNFOPID) controller, tuned by an enhanced fruit fly optimization algorithm. This work significantly improves the precision and adaptability of robot navigation, offering a robust solution for real-world autonomous systems. Additionally, Rashid has explored paralinguistic speech processing, authoring a 2021 overview that examines how speech recognition technology can empower users to control computers and generate documents more efficiently. While his citation count is still growing, the strong reception of his robotics work signals his potential for lasting impact. Rashid’s interdisciplinary approach—combining neural networks, fractional calculus, and bio-inspired optimization—positions him as an innovative voice in intelligent systems and human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2Paralinguistic Speech Processing: An Overview6 citations · 2021