Vishnu Kumar Kaliappan

KPR Institute of Engineering and Technology, Konkuk University

Papers

Total Citations

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About

Vishnu Kumar Kaliappan is a pioneering researcher at the intersection of human-computer interaction, wireless sensor networks, and smart city sustainability. His work bridges emotional intelligence in machines with energy-efficient autonomous systems. In his highly cited 2019 study, "Audio based Emotion Detection and Recognizing Tool Using Mel Frequency based Cepstral Coefficient," Kaliappan developed a novel framework for speech emotion recognition, enabling service sectors like business and education to analyze human affective states in real time—a contribution that has garnered 5 citations and laid groundwork for empathetic HCI. Earlier, his 2008 paper on "An energy efficient dynamic routing scheme for clustered sensor network using a ubiquitous robot" (4 citations) addressed the critical challenge of prolonging network lifetime in military and space exploration applications by integrating mobile robots for optimized data gathering. Most recently, his 2024 work "Optimizing Urban Sustainability" (2 citations) explores how ubiquitous robots can be deployed in smart cities while maintaining energy efficiency, offering a roadmap for balancing technological advancement with environmental stewardship. Kaliappan’s research consistently demonstrates how intelligent systems can be both emotionally aware and resource-conscious, making him a key voice in sustainable, human-centered automation.