Pawan Kumar Singh
Papers
2
Total Citations
45
H-Index
2
About
Pawan Kumar Singh is a researcher at the forefront of human-centered computing, with key contributions in human action recognition, voice-based biometrics, and affective computing. His work bridges computer vision and speech analysis to create intelligent systems that understand and interpret human behavior. Singh’s most cited paper, “Progress of Human Action Recognition Research in the Last Ten Years: A Comprehensive Survey” (2021, 28 citations), provides a critical synthesis of a decade’s worth of advances in action recognition, establishing a foundational resource for the field. In a notable technical achievement, he introduced GRaNN—a Golden Ratio-aided Neural Network for feature selection—applied to emotion, gender, and speaker identification from voice signals (2022, 17 citations). This work addresses the inherent complexity and dynamism of speech, including variations in language, accent, and emotional state, demonstrating a novel optimization approach that enhances classification accuracy. Singh’s research is characterized by its interdisciplinary nature, combining deep learning with biologically inspired algorithms to solve real-world problems in security, human-computer interaction, and assistive technology. His growing citation record reflects the increasing relevance of his work to both academic and applied communities.
Research Focus
Key Achievements
Top Papers
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