Papers
1
Total Citations
6
H-Index
1
About
Dr. Rahul Islam is a pioneering researcher in human-computer interaction and cybersecurity, best known for his groundbreaking work on next-generation authentication systems. His most influential contribution is the introduction of **EyamKayo** (2017), the first interactive CAPTCHA system that leverages real-time eye gaze tracking and facial expression analysis to distinguish humans from automated bots. This innovative approach moves beyond traditional text or image-based CAPTCHAs, offering a more secure and user-friendly alternative that is resistant to machine learning attacks. With 6 citations, this foundational paper has sparked new directions in behavioral biometrics and accessible security design. Dr. Islam’s work sits at the intersection of computer vision, usability engineering, and security, addressing the critical challenge of verifying human identity in an increasingly automated web. His research has significant implications for protecting online services while improving user experience, particularly for individuals with disabilities who struggle with conventional CAPTCHAs. As a rising voice in the field, Dr. Islam continues to explore how natural human behaviors can be harnessed to create smarter, more inclusive security systems.
Research Focus
Key Achievements
Top Papers
- 1EyamKayo6 citations · 2017