Nada Ali Mohamed
Papers
3
Total Citations
95
H-Index
3
About
Dr. Nada Ali Mohamed is a pioneering researcher at the intersection of robotics, artificial intelligence, and biomedical engineering. Her work centers on advancing kinematic modeling through deep learning, with a particular focus on parallel and serial manipulators. In her highly cited 2020 study on the 3-RRR parallel manipulator (43 citations), she introduced a novel deep learning framework that significantly improved motion prediction and control accuracy. She further extended this approach to 6-DOF serial manipulators (31 citations), demonstrating the versatility of hybrid deep learning models in experimental robotics. Beyond industrial robotics, Dr. Mohamed has made notable contributions to the emerging field of medical nanorobotics, authoring a comprehensive review (21 citations) that explores design principles, potential applications in targeted drug delivery, and the challenges of nanoscale actuation and control. Her interdisciplinary work bridges theoretical modeling with practical implementation, earning recognition for its impact on both robotic manipulation and nanomedicine. With over 95 total citations, Dr. Mohamed’s research continues to inspire new approaches in intelligent robotic systems and biomedical devices.
Research Focus
Key Achievements
Top Papers
- 1Deep Learning Based Kinematic Modeling of 3-RRR Parallel Manipulator43 citations · 2020
- 2
- 3Medical nanorobots: Design, applications and future challenges21 citations · 2020