Shivam Soni

Indian Institute of Technology Bhubaneswar, Nirma University

Papers

Total Citations

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About

Shivam Soni is a researcher at the intersection of intelligent audio systems and robotic locomotion, whose work advances how machines perceive and navigate the physical world. His primary research areas include automatic audio event recognition (AER) and bio-inspired robotics, with a focus on context-aware computing and autonomous mobility. Soni’s most cited work, “Automatic Audio Event Recognition Schemes for Context-Aware Audio Computing Devices” (2019, 14 citations), establishes foundational methods for designing systems that interpret environmental sounds—enabling applications in audio surveillance, content retrieval, drone navigation, and machine health monitoring. This contribution is critical for building smarter, location-aware devices that respond to acoustic cues. More recently, his 2024 paper on a quadruped ladder-climbing robot demonstrates innovation in control systems, using a genetic algorithm to optimize PID parameters for stable, adaptive locomotion. By bridging audio intelligence with robotic agility, Soni’s work has practical implications for search-and-rescue, industrial inspection, and autonomous exploration. His research is notable for its cross-disciplinary approach, combining signal processing, machine learning, and mechanical design to solve real-world challenges. With a growing citation record, Shivam Soni is a promising voice in engineering, inspiring students to explore how sound and motion can be harnessed for next-generation autonomous systems.