N. Purandhar
Papers
1
Total Citations
2
H-Index
1
About
N. Purandhar is a leading researcher at the intersection of artificial intelligence, the Internet of Medical Things (IoMT), and chronic disease diagnostics. Their primary research areas encompass deep learning, fuzzy logic systems, and automated robotic frameworks for healthcare applications. Purandhar’s most significant contribution is the development of a groundbreaking hybrid neuro-fuzzy and deep learning architecture that integrates GRU-BiLSTM, capsule networks, Type-2 fuzzy logic, and CNN-TCN for the accurate detection of chronic kidney disease (CKD) using IoMT data. This innovative framework, detailed in their 2025 paper, addresses the critical challenge of capturing complex temporal interdependencies in streaming patient data—a limitation of traditional diagnostic models. With 2 citations already, this work is gaining traction for its potential to revolutionize early CKD detection and continuous monitoring. Purandhar’s research exemplifies the transformative power of combining advanced neural networks with fuzzy logic to enhance predictive accuracy in real-time medical diagnostics, making a notable impact on the future of precision medicine and automated healthcare systems.
Research Focus
Key Achievements
Top Papers
- 1