Papers
3
Total Citations
60
H-Index
3
About
Heba Aly is a pioneering researcher at the intersection of neural engineering and human-computer interaction, whose work bridges the gap between advanced bio-signal processing and accessible technology. Her primary research areas encompass Brain-Computer Interfaces (BCIs), deep learning for motion classification, and digital privacy education for vulnerable populations. Aly’s most impactful contribution is her development of a hybrid BCI system that fuses EEG and EMG signals to control upper limb prostheses, offering amputees intuitive, residual-function-based control. Her 2021 paper on a deep learning model for motion classification using EEG and EMG signal fusion has garnered 38 citations, underscoring its influence in bio-robotics. In a notable pivot, Aly’s recent 2024 work explores the perceived trustworthiness of human versus AI instructors in digital privacy education for older adults, revealing that seniors prefer human-led instruction—a finding with critical implications for inclusive technology design. With a growing citation record and a portfolio that spans from neural signal processing to ethical AI deployment, Aly is shaping the future of assistive technologies and human-centered computing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3