Harsh Bhatt
Papers
1
Total Citations
39
H-Index
1
About
Dr. Harsh Bhatt is at the forefront of integrating artificial intelligence with next-generation healthcare systems, specializing in federated learning, medical diagnostics, and the enabling infrastructure of 5G networks. His most impactful contribution, an artificial neural network-driven federated learning framework for heart stroke prediction, has garnered 39 citations since 2023, demonstrating its immediate resonance in the field. This work addresses a critical challenge in Healthcare 4.0—how to leverage sensitive patient data across distributed institutions without compromising privacy. By combining deep learning with federated architectures, Bhatt enables collaborative model training while keeping raw data localized, a paradigm shift for AI-aided diagnostics and automated surgical systems. His research bridges the gap between cutting-edge machine learning and practical clinical deployment, offering scalable solutions for real-time, privacy-preserving health monitoring. Bhatt’s work is particularly notable for its forward-looking integration of 5G’s low-latency capabilities, ensuring that AI-driven predictions can be delivered at the point of care. For students and researchers, his contributions exemplify how to tackle the dual demands of accuracy and data sovereignty in modern digital health ecosystems.
Research Focus
Key Achievements
Top Papers
- 1