Sanjay Madaan

Background

About Sanjay Madaan

Sanjay Madaan has over 14 years of experience in academia and corporate training, specializing in Java Full Stack Development, AI/ML, and Big Data. He has a strong passion for research, demonstrated by his 23 publications in reputed journals and conferences. His work includes 2 SCI indexed papers, 1 Springer Nature book chapter, 4 Scopus-indexed publications, 3 UGC approved journal papers, 7 papers in international journals, and 6 national conference papers. His research primarily focuses on machine learning, image processing, SAR image classification, computer vision, and medical imaging, with significant contributions in crop classification using Sentinel-1B SAR images, facial expression recognition, and medical image segmentation. He has explored hybrid deep learning models for improving feature extraction and classification accuracy, particularly in agriculture, healthcare, and remote sensing applications. His work on synthetic aperture radar (SAR) image analysis has provided innovative approaches to land cover classification, while his studies in medical image segmentation have introduced advanced algorithms for early disease detection, such as skin cancer analysis using PSO and K-means clustering. Sanjay Madaan is deeply invested in advancing AI-driven solutions for real-world challenges and actively contributes to emerging research areas such as quantum-inspired optimization techniques, deep learning-based facial expression recognition, and cloud-based secure data processing. His commitment to continuous learning and exploration of new technologies makes him a driving force in the field of computational intelligence and applied machine learning. Additionally, he is expertise in Core Java, J2EE, Spring Framework, Hibernate, Restful APIs, Python (AI/ML), Data Structures, C, C++.NET, and IBM Cognos. He integrates his research insights into practical applications, ensuring impactful contributions to both academia and industry. Publications: SCI Publication: 2 Springer Nature: 1 Scopus Publication: 4 UGC Journal: 3 International Journal: 7 National Conference: 6 Recent Publication: “A hybrid UNet based approach for Crop Classification using Sentinel-1B Synthetic Aperture Radar images” Multimedia Tools and Applications. Springer, Electronic ISSN: 1573-7721, Print ISSN: 1380-7501, Impact factor: 3.6 "Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm." Scientific Reports 15, 4665 (2025). https://doi.org/10.1038/s41598-025-85206-9