Pradeep Juneja
Papers
2
Total Citations
12
H-Index
2
About
Pradeep Juneja’s research lies at the intersection of control systems, industrial automation, and intelligent healthcare technologies. His most cited work, “Design of PI Controller for Consistency of Stock in Paper Machine Headbox using Particle Swarm Optimisation (PSO)” (2019, 8 citations), demonstrates his expertise in applying computational intelligence—specifically particle swarm optimization—to solve complex process control challenges in the paper industry. This contribution highlights his ability to bridge theoretical optimization methods with real-world industrial applications. More recently, Juneja has ventured into the rapidly evolving domain of smart healthcare, as evidenced by his 2022 paper “A Network Data Analytic Technique in a 5G-IoT-Based Smart Healthcare System Using Machine Learning” (4 citations). This work addresses the pressing burden of chronic diseases by integrating Internet of Things (IoT) sensors, 5G connectivity, and machine learning analytics for remote patient monitoring. By combining network data analysis with predictive algorithms, Juneja offers a scalable framework for next-generation healthcare systems. His research portfolio reflects a versatile engineer-scientist who moves fluidly from optimizing paper machine headbox consistency to architecting intelligent health monitoring networks—always with an eye on practical, data-driven solutions that improve efficiency and quality of life.
Research Focus
Key Achievements
Top Papers
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