Ambalika Sharma
Papers
2
Total Citations
14
H-Index
2
About
Ambalika Sharma’s research bridges two distinct and impactful domains: medical robotics and cybersecurity. In her early work, she tackled the complex challenge of forward kinematic analysis for an *in-vivo* robot designed to perform stomach biopsies, a contribution that laid groundwork for minimally invasive surgical tools. This paper, published in 2012, has garnered 9 citations, reflecting its foundational role in robotic-assisted diagnostics. More recently, Sharma has turned her attention to human-computer interaction and security with her 2018 paper on CHGR—a novel CAPTCHA generation system based on hand gesture recognition. This work addresses the growing need for more intuitive and accessible security measures, moving beyond traditional text-based tests to verify human users. With 5 citations, this research highlights her ability to innovate at the intersection of user experience and authentication. Together, these projects demonstrate a versatile researcher who applies engineering principles to solve real-world problems, from improving surgical precision to enhancing digital security. Her work continues to inspire students and researchers exploring the frontiers of robotics and human-centered computing.
Research Focus
Key Achievements
Top Papers
- 1Forward kinematic analysis of in-vivo robot for stomach biopsy9 citations · 2012
- 2CHGR: Captcha generation using Hand Gesture Recognition5 citations · 2018