Umang Garg
Papers
1
Total Citations
4
H-Index
1
About
Umang Garg is a researcher at the forefront of integrating next-generation connectivity with intelligent healthcare systems. His work focuses on the convergence of 5G networks and the Internet of Things (IoT), leveraging machine learning to create smarter, more responsive medical solutions. His most cited paper, "A Network Data Analytic Technique in a 5G-IoT-Based Smart Healthcare System Using Machine Learning" (2022), addresses the pressing challenge of rising chronic diseases by proposing a framework for remote monitoring and real-time data analytics. This work, which has garnered 4 citations, exemplifies his commitment to using advanced network architectures to alleviate burdens on modern healthcare. Garg’s contributions lie in developing data-driven techniques that make 5G-IoT ecosystems not only faster but also more intelligent, enabling proactive patient care. His research is particularly significant for students and engineers interested in the practical application of AI and telecommunications to solve real-world health crises. By bridging the gap between high-speed connectivity and actionable medical insights, Garg is helping to shape a future where healthcare is more accessible, predictive, and efficient.
Research Focus
Key Achievements
Top Papers
- 1