Papers
2
Total Citations
9
H-Index
2
About
Ayesha Shaik is a pioneering researcher at the intersection of robotics, artificial intelligence, and information security. Her work spans two transformative domains: safeguarding digital media and advancing autonomous robot navigation. In her highly cited 2018 paper, Shaik introduced a novel zero-watermarking technique using transform domain and quadtree decomposition to protect underwater images captured by robots—a critical innovation for mission-sensitive marine operations. This work, garnering 7 citations, addresses the pressing need for copyright protection without altering original image data. More recently, Shaik has broken new ground in human-robot interaction with her 2025 "Voice in Head" (ViH) framework, which integrates Large Language Models (LLMs) like GPT and Gemini as Actor and Critic agents. This reinforcement learning with human feedback (RLHF) approach, already earning 2 citations in its first year, enables robots to navigate complex environments through natural language understanding—a leap toward intuitive, voice-controlled robotics. Her dual focus on security and intelligence reflects a rare ability to bridge theoretical rigor with real-world deployment, making her a rising voice in both digital watermarking and embodied AI.
Research Focus
Key Achievements
Top Papers
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