0000-0002-0288-4829 About
As a Ph.D. graduate in computer science and Engineering, my research focuses on utilizing AI to enhance medical imaging, particularly in the diagnosis of lung diseases from CT scans. By combining evolutionary algorithms, deep learning, and techniques such as federated learning, I develop diagnostic tools that are both clinically relevant and scalable. I've worked with real-world datasets, including MIMIC-III, and my models have shown high accuracy in detecting COVID-19 and sepsis. My goal is to drive innovation in healthcare by applying AI research and collaborating on the development of intelligent, ethical diagnostic systems.
Employment
Employment history is unavailable.
Education
-
Anna University, Chennai Ph.D2017 - 2024
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- FL-WOSP: Federated learning with walrus optimization for sepsis prediction using MIMIC-III physiological and clinical data Save
- Multimodal learning for neonatal sepsis detection in the NICU using brain-inspired graph neural networks Save
- Systematic review of privacy-preserving Federated Learning in decentralized healthcare systems Save
- Efficient Cervical Cancer Diagnosis Using Supervised Machine Learning: A Performance Perspective Save
- Next-Gen Medical Intelligence: Fuzzy Logic-Driven Expert Systems For Clinical Decision-Making Save
- Revolutionizing Healthcare Informatics With Fuzzy Logic: Smarter Data, Smarter Decisions Save
- Diagnosis of COVID-19 from computed tomography slices using flower pollination algorithm, k-nearest neighbor, and support vector machine classifiers Save
- Diagnosis of Covid-19 from CT slices using Whale Optimization Algorithm, Support Vector Machine and Multi-Layer Perceptron Save
- Diagnosis of Pulmonary Edema and Covid-19 from CT slices using Squirrel Search Algorithm, Support Vector Machine and Back Propagation Neural Network Save