Rinku Sharma
Papers
1
Total Citations
3
H-Index
1
About
Rinku Sharma is a pioneering researcher at the intersection of artificial intelligence, human-robot interaction, and mental health technology. Her work focuses on leveraging machine learning and conversational agents to transform perinatal mental health care, addressing critical gaps in early detection and intervention. Sharma’s most cited study, “Perinatal Mental Detection With Chatbots Using Machine Learning” (2024), has already garnered 3 citations, demonstrating its emerging impact. In this work, she demonstrates how chatbot-based systems can overcome traditional barriers to seeking mental health support, enabling more comprehensive patient data collection and reducing stigma. By integrating natural language processing with empathetic AI design, Sharma’s research offers scalable, accessible tools for identifying depression and anxiety in new and expecting mothers. Her contributions are particularly notable for bridging robotics and clinical psychology, showing how human-robot interaction can yield richer, more honest patient responses than conventional screening methods. As a rising voice in computational psychiatry, Sharma’s work promises to reshape how we deploy AI for vulnerable populations, making mental health care more proactive, private, and personalized. Her innovative approach positions her at the forefront of ethical AI applications in healthcare.
Research Focus
Key Achievements
Top Papers
- 1Perinatal Mental Detection With Chatbots Using Machine Learning3 citations · 2024