Yedukondala Rao Veeranki
Papers
2
Total Citations
21
H-Index
2
About
Yedukondala Rao Veeranki is a researcher at the forefront of affective computing and biomedical signal processing, with a specialized focus on decoding human emotional states through physiological signals. His primary research centers on electrodermal activity (EDA), a key indicator of sympathetic nervous system arousal, and its application in mental health monitoring, human-computer interaction, and assistive robotics. Veeranki’s major contribution is the development of EDA-Graph, a novel graph signal processing framework that transforms traditional EDA analysis by modeling the signal’s underlying structure as a graph. This approach enables more nuanced and continuous detection of emotional states, overcoming limitations of conventional time-series methods. His foundational paper on this topic (2024) has already garnered 17 citations, demonstrating immediate impact in the field. Veeranki’s work bridges signal processing and affective neuroscience, offering a powerful tool for real-time emotion recognition. His achievements include pioneering graph-based methodologies for physiological data, which hold promise for applications in personalized mental health interventions and adaptive human-machine interfaces.
Research Focus
Key Achievements
Top Papers
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- 2