Research

Research & Publications

Exploring the frontiers of AI, machine learning, and innovation through academic research and patents

Master's Thesis

Enhancing Healthcare Insurance Fraud Detection and Prevention with a Machine Learning and Blockchain-Based Approach

National Institute of Technology Patna

July, 2023 – June, 2024 Dr. Rajesh Kumar Sinha, Associate Professor Department of Mathematics

This research proposes an innovative approach to healthcare insurance fraud detection by combining machine learning algorithms with blockchain technology. The system achieves 99.93% accuracy in fraud detection while ensuring data integrity and privacy through blockchain implementation.

Healthcare Fraud Machine Learning Blockchain ECIES Encryption Smart Contracts Data Privacy

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Publications

3

Artistic Style Transfer using Generative Adversarial Networks: A Pix2Pix Implementation

2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)

Pavan Kumar Dubasi, Bhadula, S., et al. Published Date of Conference 09-11 May 2024, Date Added to IEEE Xplore 23 July 2024

We propose an enhanced Pix2Pix GAN architecture for artistic style transfer that achieves superior results in preserving structural integrity while transferring complex artistic styles.

GANs Style Transfer Deep Learning Computer Vision

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A Study on Facial Feature Extraction and Emotional Analysis Using ML

International Journal of All Research Education and Scientific Methods (IJARESM)

Adhyaru, K., Ishan, Harshitha, D., Mundlur, R.P., Dubali Pavan Kumar, et al. Published ISSN: 2455-6211, Vol. 11, Issue 7, July 2023, pp. 2455-2467

This research presents a comprehensive approach to facial feature extraction and emotion recognition using machine learning techniques, achieving high accuracy in real-world scenarios.

Facial Recognition Emotion Analysis Machine Learning Computer Vision

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Federated Learning for Privacy Preserving Collaboration in Healthcare

2025 International Conference on Communication, Computer Sciences and Engineering (IC3SE-2025)

Pavan Kumar Dubasi, et al. Accepted 19-21 March 2025, Amity University Uttar Pradesh, Greater Noida, India

This paper presents a novel federated learning approach for healthcare data collaboration that preserves patient privacy while enabling effective model training across multiple healthcare institutions.

Federated Learning Healthcare Privacy Machine Learning