Dinesh Kumar Reddy Basani
Papers
5
Total Citations
21
H-Index
2
About
Dinesh Kumar Reddy Basani is an emerging researcher whose work spans the intersection of artificial intelligence, robotics, and intelligent systems, with particular focus on human-robot interaction, IoT-enabled robotics, and AI-driven healthcare automation. His research addresses critical gaps in machine learning optimization and smart networked systems, consistently proposing novel algorithmic solutions to real-world challenges. Basani's most recognized contribution, garnering 15 citations, introduces a Support Vector Machine enhanced with Tunicate Swarm Optimization for emotion recognition in human-robot interaction — a significant advancement in affective computing that tackles the longstanding challenge of context-aware facial expression classification. His work extends into energy-efficient signal processing for IoT-robotic ecosystems, smart Internet of Robotic Things (IoRT) networks integrating LiDAR mapping and swarm intelligence, and AI-powered surgical monitoring systems leveraging advanced deep learning architectures like ResNet-50. Particularly noteworthy is his foray into medical robotics, where he applies automation to breast cancer prediction using ensemble learning frameworks, demonstrating a commitment to translating AI research into life-saving clinical applications. Though early in his career with a growing citation profile totaling approximately 21 citations, Basani's breadth across robotics, healthcare AI, and networked intelligence positions him as a versatile contributor to the rapidly evolving field of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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