Asma A. Al-Shargabi

Papers

Total Citations

H-Index

About

Asma A. Al-Shargabi is a computer scientist whose research bridges cybersecurity and context-aware computing, with a focus on enhancing system intelligence and resilience. Her most cited work, "Deep Learning Based CAPTCHA Recognition Network with Grouping Strategy" (2023, 12 citations), tackles the critical challenge of web security by developing advanced deep learning architectures to improve CAPTCHA verification systems. This research directly addresses the arms race between automated bots and human verification, proposing novel grouping strategies that make text-based CAPTCHAs more robust against adversarial attacks while maintaining usability. In parallel, her foundational work "Quality of Context in Context-Aware Systems" (2017, 8 citations) addresses a fundamental problem in pervasive computing: the inherent imperfection of sensor data. By formalizing quality metrics for contextual information, Al-Shargabi has provided essential frameworks for developing more reliable adaptive systems in domains ranging from mobile computing to robotics. Her dual focus on securing human-computer interaction and ensuring data quality in context-aware environments demonstrates a comprehensive approach to building trustworthy intelligent systems. With growing citation impact, Al-Shargabi continues to contribute to the evolution of secure, contextually aware technologies that adapt intelligently to user needs while maintaining robust security postures.