Published Research Papers
Contributions to academic research and innovation in AI, machine learning, and computational intelligence.
Real-Time Scratched Image Restoration Using Neural Networks
This research presents a novel approach to real-time image restoration using neural networks, specifically targeting scratched and damaged images. The system employs deep learning techniques to automatically detect and restore damaged portions of images with high accuracy and efficiency.
Deepfake Forensics: Detection and Analysis
A comprehensive study on deepfake detection methodologies and forensic analysis techniques. This research explores cutting-edge approaches to identify AI-generated synthetic media, contributing to the growing field of digital forensics and media authenticity verification.
Counterfactual AI in Healthcare: Enhancing Decision-Making and Outcome Prediction
This paper explores the application of counterfactual reasoning in artificial intelligence for healthcare decision-making. The research demonstrates how counterfactual AI can improve clinical outcome predictions and support medical professionals in making more informed treatment decisions.
DOI: 10.1109/CCICT65753.2025.00097
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