Monica Chew

Papers

Total Citations

171

H-Index

About

Monica Chew is a computer security researcher whose work has fundamentally shaped how we think about human-computer interaction and online authentication. Her most influential contribution, the 2004 paper "Image Recognition CAPTCHAs" (171 citations), pioneered a novel approach to distinguishing humans from bots by leveraging visual perception tasks. This work not only advanced the field of CAPTCHA design but also highlighted critical vulnerabilities in early text-based systems, prompting a shift toward more robust, image-based challenges. Chew’s research sits at the intersection of security, usability, and artificial intelligence, where she has explored how to balance protection with user experience. Her insights have informed real-world implementations, influencing how major platforms defend against automated abuse while maintaining accessibility. Beyond her CAPTCHA work, Chew has contributed to broader security topics, including phishing detection and privacy-preserving technologies. Her ability to identify practical, human-centered solutions to complex security problems has made her a respected voice in the field. For students and researchers, Chew’s work serves as a model of how to tackle pressing cybersecurity challenges with creativity and technical rigor, demonstrating that even seemingly small innovations can have lasting impact on the safety of digital interactions.