📚 Publications & Research

My research work spans deep learning, computer vision, NLP, and applied AI, grounded in scientific rigor and real-world relevance. 

Across projects, I’ve explored how intelligent systems can support data security, healthcare, information retrieval, and mental health analysis.

I’ve contributed to research on image security with deep learning, semantic information retrieval, mental health analytics using NLP, and medical image analysis, which resulted in journal and conference publications.

1. Autoencoder-CNN-based Embedding and Extraction Model for Image Watermarking
- Journal of Electronic Imaging (SPIE), Vol. 32(2), 2022
📄 SPIE Digital Library • DOI: 10.1117/1.JEI.32.2.021604
Themes: Computer Vision, Image Watermarking, Deep Learning
Summary: Proposed a novel deep learning model for invisible image watermarking, demonstrating robustness against compression and distortion.

2. A Fuzzy-Cluster Based Semantic Information Retrieval System (B.Tech Project)
- In Proceedings of the 4th International Conference on Computing Methodologies, 2020
📄IEEE Xplore
Themes: NLP, Semantic Search, Information Retrieval
Summary: Designed a fuzzy-clustering–based system to improve semantic relevance and accuracy in text retrieval.

3. A Machine Learning Approach to Analyze Mental Health from Reddit Posts
- In Biologically Inspired Techniques in Many Criteria Decision Making, 2022
📄 Springer
Role: Mentor & Co-researcher
Themes: NLP, Mental Health Analytics, Sentiment Classification
Summary: Applied NLP and ML techniques to identify emotional patterns in online discourse for early mental health insights.

4. Deep Learning Model for Efficient Mammogram Analysis
- Technical Advancements of Machine Learning in Healthcare, 2021
📄 Springer Chapter 2021

Themes: Medical Imaging, Computer Vision, Deep Learning
Summary: Developed a CNN-based approach for mammogram image analysis to support improved diagnostic accuracy.

5. A Comparative Study of a Complex Social Network
- IUP Journal of Information Technology, Vol. 14(2), 2018
📄 PDF
Themes: Network Science, Graph Theory
Summary: Analyzed structural properties and metrics of complex social networks—my first formal research project.