Sudipta Das

Institute of International Law and Economics named after AS Griboedova

Papers

Total Citations

162

H-Index

About

Sudipta Das is at the forefront of research at the intersection of next-generation telecommunications and biomedical engineering. His primary focus lies in the integration of 5G technology with wearable health devices and the application of machine learning to data processing. Das’s most impactful work, "5G Technology in Healthcare and Wearable Devices: A Review," has garnered 160 citations, establishing him as a key voice in the field. In this seminal review, he explores how 5G’s ultra-low latency and high bandwidth are transforming wearable devices from simple fitness trackers into critical tools for continuous, preventive health monitoring—a necessity given the rapidly aging global population. He further contributes to the theoretical underpinnings of artificial intelligence with his work on machine learning for data flow processing, which examines how cognitive algorithms can enhance learning systems. Through his research, Das is not only charting the future of personalized medicine but also addressing the fundamental challenges of making AI-driven systems more responsive and intelligent. His work serves as a vital bridge between high-speed connectivity and real-world healthcare applications.