Subramani Roychoudri
Papers
1
Total Citations
5
H-Index
1
About
Dr. Subramani Roychoudri is at the forefront of assistive robotics and intelligent healthcare systems, with a focused expertise in secure human-robot interaction (HRI) for vulnerable populations. His most cited work, "Secure and Responsive Human-Robot Interaction for Dementia Patients Using LSTM and IoT" (2024), introduces a groundbreaking architecture that synergizes Long Short-Term Memory (LSTM) networks with Internet of Things (IoT) technology to address critical challenges in dementia care. This paper tackles the dual imperatives of ensuring robust security and real-time responsiveness in HRI, offering a novel framework that enables robots to interpret patient behavior patterns while safeguarding sensitive data. With 5 citations in its first year, this work is already shaping discussions at the intersection of gerontechnology and cyber-physical systems. Dr. Roychoudri’s contributions are particularly notable for bridging theoretical AI models with practical, ethical deployment in clinical settings. His research promises to redefine how assistive robots can provide compassionate, context-aware support to individuals with cognitive decline, marking him as a rising voice in the fields of ambient assisted living and trustworthy AI.
Research Focus
Key Achievements
Top Papers
- 1