Abdul Farooq

Papers

Total Citations

H-Index

About

Abdul Farooq is a researcher advancing the frontiers of human-computer interaction, with a primary focus on gaze-based gesture recognition and gender classification. His most-cited work, "Gender and gaze gesture recognition for human-computer interaction" (2016, 53 citations), introduces innovative methods for interpreting eye movements and facial cues to enable more intuitive, hands-free control of digital systems. This research bridges computer vision and accessibility, offering potential applications in assistive technologies and adaptive interfaces. Farooq’s contributions have been recognized for their practical impact, particularly in designing systems that respond to subtle user behaviors. His work not only enhances user experience but also opens new pathways for inclusive technology, making him a notable voice in the evolving landscape of intelligent, human-centered computing.