Mahendra Kumar Gourisaria

Papers

Total Citations

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About

Mahendra Kumar Gourisaria is a leading researcher at the intersection of machine learning, audio signal processing, and intelligent systems for healthcare. His work focuses on developing robust, data-driven solutions that bridge the gap between raw sensor data and actionable insights. Gourisaria’s most cited paper, "Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques" (2024, 66 citations), is a foundational study that rigorously benchmarks feature extraction methods for audio classification, providing a critical resource for researchers in speech recognition and environmental sound analysis. This work demonstrates his expertise in optimizing machine learning pipelines for complex, real-world data. He has also made significant contributions to smart healthcare through his paper "AI and IoT Enabled Smart Hospital Management Systems" (2022, 16 citations), which explores the integration of artificial intelligence and Internet of Things technologies to enhance patient monitoring and operational efficiency. Gourisaria’s research is characterized by its practical applicability, offering scalable solutions that advance both the fields of audio analytics and intelligent healthcare infrastructure.