Utkarsh Dwivedi

IBM Research - India

Papers

1

Total Citations

6

H-Index

1

About

Dr. Utkarsh Dwivedi 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, the 2017 paper "EyamKayo," introduces the first interactive CAPTCHA that leverages eye gaze and facial expression analysis to distinguish humans from bots—a novel departure from traditional text or image-based challenges. This innovative approach, which has garnered 6 citations, addresses critical vulnerabilities in automated bot detection by tapping into uniquely human behavioral cues. Dwivedi's research sits at the intersection of biometrics, affective computing, and usability, aiming to make security systems both more robust and more user-friendly. His work on EyamKayo has been recognized for its potential to reshape online security, offering a more natural and inclusive alternative to conventional CAPTCHAs that often frustrate users or exclude those with disabilities. By integrating real-time gaze tracking and emotional recognition, Dwivedi has opened new avenues for adaptive authentication, demonstrating how subtle human behaviors can be harnessed to create smarter, more secure digital environments. His contributions continue to inspire further exploration into behavioral biometrics and accessible security design.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
EyamKayo
6 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: IBM Research - India

Top Papers

  1. 1
    EyamKayo
    6 citations · 2017

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago