Santhosh Kumar Veeramalla
Papers
1
Total Citations
5
H-Index
1
About
Santhosh Kumar Veeramalla is a rising researcher in acoustic signal processing and artificial intelligence, with a focus on advancing sound source localization technologies. His most-cited work, "Development of acoustic source localization with adaptive neural network using distance mating‐based red deer algorithm" (2023), introduces a novel bio-inspired optimization approach that enhances multichannel audio processing for applications in human–computer interaction, autonomous robotics, and audio surveillance. By integrating adaptive neural networks with a distance-mating variant of the red deer algorithm, Veeramalla's method improves the accuracy and efficiency of pinpointing sound sources in complex environments—a critical capability for teleconferencing systems and smart audio monitoring. Though early in his career, his contributions have already garnered attention, with his top paper accumulating 5 citations, signaling growing interest in his work. Veeramalla's research sits at the intersection of speech technology and computational intelligence, and his innovative use of metaheuristic algorithms to solve real-world acoustic challenges marks him as a promising voice in the field. His work offers a compelling foundation for students and researchers exploring adaptive systems for audio analysis.
Research Focus
Key Achievements
Top Papers
- 1