K. S. Sandhu

Papers

Total Citations

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About

Dr. K. S. Sandhu is a leading researcher in the Internet of Things (IoT) and intelligent systems, with a particular focus on resource allocation and machine learning integration. Their most-cited work, "Ubiquitous Intelligent Machine Learning Resource Allocation System in IoT" (2024), has already garnered 6 citations, highlighting its timely impact on optimizing IoT networks through AI-driven efficiency. Dr. Sandhu’s major contribution lies in developing prebuilt software-as-a-service (SaaS) frameworks that enable IoT Cleverly Applications—intelligent dashboards that analyze and visualize sensor data in real time. This work bridges the gap between raw IoT data and actionable insights, making smart environments more responsive and scalable. By advancing machine learning models for resource distribution, Dr. Sandhu has addressed critical challenges in latency, energy consumption, and network congestion. Their research is particularly notable for its practical applications in smart cities, healthcare, and industrial automation, where seamless data flow is essential. With a growing citation record and a focus on ubiquitous intelligence, Dr. Sandhu continues to shape the future of connected systems, offering students and researchers a clear pathway into the intersection of IoT, AI, and sustainable technology.