Habiba Mohamed
Misr International University, University of Washington Tacoma
Papers
2
Total Citations
67
H-Index
2
About
Habiba Mohamed is a rising researcher at the intersection of biomedical engineering and intelligent computing, whose work is shaping the future of both neurorehabilitation and edge-based resource management. Her most impactful contribution, a comprehensive 2024 review on brain–computer interface (BCI) and machine learning algorithms for stroke rehabilitation, has already garnered 52 citations, establishing her as a key voice in the application of EEG-driven BCI technology to restore motor function in patients with neurological damage. This work synthesizes cutting-edge developments, offering a critical roadmap for integrating deep learning into clinical rehabilitation systems. In parallel, Mohamed addresses pressing challenges in distributed computing with her 2022 paper on OpERA, a multi-objective optimization framework using TOPSIS for edge-based resource allocation. This work tackles the inefficiencies of heterogeneous edge devices and cloud dependency, earning 15 citations for its practical, multi-layered approach. By bridging the gap between human-centric neural interfaces and efficient computational infrastructure, Habiba Mohamed demonstrates a rare versatility, contributing foundational insights that promise to enhance both patient outcomes and system performance in an increasingly connected world.
Research Focus
Key Achievements
Top Papers
- 1
- 2