Publications & Research

My research focuses on developing trustworthy AI methods for healthcare, bias mitigation, and medical cyber-physical systems.

9
Publications
80+
Citations
4
h-index
7
Scopus-indexed

Journal Articles

A Medical Cyber-Physical System for Predicting Maternal Health in Developing Countries Using Machine Learning

Published

Healthcare Analytics 2024, 100285 • Scopus-indexed

38 citations 🏥 Medical AI 📅 2024

Developed ensemble learning framework achieving 99% accuracy for maternal health risk prediction with bias reduction.

An IoT-Based Real-Time Environmental Monitoring System for Developing Areas

Published

JARASET 2025, 52(1):106–121 • Scopus-indexed

8 citations 🌐 IoT Systems 📅 2025

Real-time environmental monitoring system with IoT sensors and machine learning for air quality prediction.

Date Fruit Classification with Machine Learning and Explainable Artificial Intelligence

Published

IJCA 2023, 975:8887 • DOAJ-indexed

13 citations 🤖 ML Methods 📅 2023

Computer vision approach for date fruit classification with explainable AI techniques for model interpretability.

Conference Papers

SMOTE Oversampling and Near Miss Undersampling Based Diabetes Diagnosis from Imbalanced Dataset with XAI Visualization

Published

IEEE ISCC 2023, pp. 1–6 • Scopus-indexed

13 citations ⚖️ Bias Mitigation 📅 2023

Novel approach combining SMOTE oversampling and Near Miss undersampling for diabetes diagnosis with XAI.

Artificial Intelligence-Driven Approach for Predicting Maternal Health Risk Factors

Published

IEEE SEEDA-CECNSM 2024, pp. 153–158 • Scopus-indexed

3 citations 🏥 Medical AI 📅 2024

AI-driven framework for identifying and predicting maternal health risk factors in developing countries.

Under Review

A Multi-Disease Prediction Framework: Leveraging Machine Learning and Real-Time Applications for Improved Health Outcomes

Under Review

PLOS ONE • Scopus-indexed

🔄 Under Review 🏥 Healthcare AI 📅 2024

Comprehensive framework integrating multiple disease prediction models with real-time application capabilities.

Machine Learning-Based Parkinson's Disease Prediction Utilizing SMOTE and Explainable AI Techniques

Under Review

PLOS ONE • Scopus-indexed

🔄 Under Review 🧠 Neurological AI 📅 2024

Advanced ML approach for Parkinson's disease prediction with bias mitigation and explainable AI.