Publications
Our team contributes to the global AI research community through peer-reviewed papers, conferences, and journals.
Healthcare & Medical AI
MEDFIT-LLM: Medical Enhancements through Domain-Focused Fine Tuning of Language Models
Focus:Domain-specific fine-tuning of LLMs for medical applications
Neural Network-Enabled Diagnostic Framework for Correlating Ayurvedic Breathwork Protocols with Adaptive Skin Microbiome Dynamics
Focus:Integration of Ayurvedic protocols with machine learning for microbiome analysis
Automated Analysis of Glucose Response Patterns in Type 1 Diabetes Using Machine Learning and Computer Vision
Focus:ML-driven computer vision for diabetes monitoring
Augmented Reality & Healthcare Systems
Augmented Reality-Based Patient Tracking in Autonomous Healthcare Systems
Focus:AR applications for autonomous healthcare patient management
Real-Time Emotion Detection in AR Mental Health Applications Using Sentiment Analysis Algorithms
Focus:Emotion detection using sentiment analysis in AR mental health platforms
Personalized Healthcare Monitoring Through AR Wearables and Predictive Analytics Algorithms
Focus:Wearable AR devices with predictive health analytics
Financial & Time Series Forecasting
Time Series Forecasting of Stock Prices Using Neural Networks LSTM and GAN
Focus:LSTM and GAN architectures for stock price prediction
Emerging Healthcare Technologies
AntiMicrobial Resistance Prediction Using Advanced Image Encoding Techniques
Focus:Image encoding methods for antimicrobial resistance prediction
LLM & AI Infrastructure
CAG: Chunked Augmented Generation for Google Chrome's Built-in Gemini Nano
Focus:Augmented generation optimization for edge AI inference
Healthcare & Diagnostics
AI-Enhanced Neural Network Framework for Cardiac Arrest Prognostics
Focus:Neural networks for predicting cardiac arrest outcomes
Cybersecurity
Assessing the Applicability of Adversarial Machine Learning Approaches for Cybersecurity
Focus:Adversarial ML techniques for cybersecurity defense
Network Security
Data-Driven Approaches for Enhancing Network Security: A Comprehensive Review
Focus:Review of data-driven network security enhancements
Machine Learning for Intrusion Detection Systems: A Comparative Study
Focus:Comparative analysis of ML algorithms for IDS