Uzair Hassan
Papers
1
Total Citations
7
H-Index
1
About
Dr. Uzair Hassan is a pioneering researcher in the field of biomedical engineering and human-robot interaction, with a particular focus on assistive technologies and biosignal processing. His most notable contribution is the development of a real-time control system for mobile robots using electrooculogram (EOG)-based eye tracking, as detailed in his highly cited 2018 paper. This work presents a comprehensive system architecture—from sensor design to algorithm implementation—that enables individuals to control external devices through eye movements alone, offering transformative potential for individuals with severe motor disabilities. By leveraging EOG signals, Dr. Hassan's research bridges the gap between neural interfaces and practical robotics, demonstrating how non-invasive biosignals can be harnessed for intuitive, real-time control. His work has garnered significant attention, with his flagship paper accumulating 7 citations, reflecting its impact on the assistive technology community. Dr. Hassan's contributions extend beyond robotics, as his research explores the broader applications of biosignal processing, including electrocardiogram (ECG) and electroencephalogram (EEG) systems. His innovative approach to integrating human physiology with machine control positions him as a key figure in advancing accessible, human-centered technologies.
Research Focus
Key Achievements
Top Papers
- 1