ANANYAA MYLSAMY
MS CS Student @ Northeastern University
Research Publications
Prediction of Heart Disease using Low Density Lipoprotein
Developed an innovative glucometer-based system employing fully homomorphic encryption schemes (Gorti's and Carmichael's encryption) to predict heart disease risk while preserving patient privacy. The system was implemented using JavaScript and successfully presented at the 26th International Conference on Advanced Computing and Communications (ADCOM 2020).
Key Technologies: Homomorphic Encryption, JavaScript, Edge Computing
Impact: Privacy-preserving healthcare prediction system
Preserving Healthcare Data Security and Privacy using Carmichael's Theorem
Advanced research on preserving healthcare data security using Carmichael's theorem-based homomorphic encryption and modified enhanced homomorphic encryption schemes specifically designed for edge computing systems. This work addresses critical privacy concerns in distributed healthcare data processing.
Key Technologies: Carmichael's Theorem, Enhanced Homomorphic Encryption, Edge Computing
Impact: Secure healthcare data processing in distributed systems
Technical Projects
Blockchain-based Hypotension Prediction
Blockchain • Edge Computing • Healthcare
Secure prediction system for hypotension in edge computing environments using blockchain technology.
View on GitHubLandscape Image Processing
Python • Machine Learning • Computer Vision
Machine learning project for landscape image classification and processing.
View on GitHubPharmacy Management Systems
Full Stack • SQL/NoSQL • Web Development
Complete pharmacy management solutions with both SQL and NoSQL implementations.
View on GitHubHeart Disease Prediction System
JavaScript • Homomorphic Encryption • Machine Learning
Privacy preserving prediction of heart disease using low density lipoprotein from edge devices.
View on GitHub