• Focus areas: LLMs, Agentic AI, MLOps, Data Science, and Machine Learning
• Currently exploring: Large Language Models (LLMs) and their real-world applications
• Open to: Collaborations on open-source packages, applied research, and AI-driven projects
• Reach me: shubhra.naukri@gmail.com | shubhraprakash279@gmail.com

• Texture-Based DNN for Pneumonia in Thorax X-Rays
  International Research Journal of Multidisciplinary Scope (IRJMS) · Jul 30, 2025
  Deep learning-based texture analysis framework for automated pneumonia detection from thoracic X-ray images.

• Bridging Data Gaps: A Comparative Study of Different Imputation Methods for Numeric Datasets
  IEEE International Conference on Data Science and Network Security (ICDSNS) · Jul 27, 2024
  Comprehensive benchmark of classical and modern imputation techniques (Mean, Iterative, kNN, MissForest, Gaussian Copula), showing the superior performance of Gaussian Copula-based imputation across varying missingness levels using Kolmogorov–Smirnov and adversarial validation–based metrics.

• Exploring the Indian Stock Market through Minimum Spanning Trees and Planar Maximally Filtered Graphs: A Network Analysis Approach
  IEEE Symposium on Systems and Information Engineering Design (SIEDS) · May 21, 2024
  Network-based analysis of Nifty-100 stocks using MST and PMFG to uncover structural changes and COVID-19–driven market dynamics via topology-aware metrics.

• Gray Level Co-occurrence Matrix based Fully Convolutional Neural Network Model for Pneumonia Detection
  International Journal of Electrical and Computer Engineering Systems · Mar 30, 2024
  Fully convolutional neural network leveraging GLCM-based texture features for robust pneumonia detection in chest X-rays.

• Development and Evaluation of Pneumfc Net: A Novel Automated Lightweight Fully Convolutional Neural Network Model for Pneumonia Detection
  Journal of Theoretical and Applied Information Technology · Feb 15, 2024
  Design and evaluation of a lightweight FCN architecture (Pneumfc Net) optimized for accurate and efficient pneumonia detection.

• Comparison of Augmentation and Preprocessing Techniques for Improved Generalization Performance in Deep Learning based Chest X-Ray Classification
  IEEE · Oct 13, 2022
  Empirical study of data augmentation and preprocessing strategies to enhance generalization in deep learning models for chest X-ray classification.

• Detection and Classification of Thoracic Diseases in Medical Images using Artificial Intelligence Techniques: A Systematic Review
  ECS Transactions · Apr 1, 2022
  Systematic review of AI-based methods for detection and classification of thoracic diseases in medical imaging, highlighting trends, challenges, and future directions.

• LMD: A Self-Adaptive Approach for Demodulating Multi-Component Signal
  CRAN · Sep 20, 2022
  R package implementing Local Mean Decomposition for adaptive demodulation and analysis of multi-component AM–FM signals, inspired by Smith (2005) and the PyLMD library.

• muHVT: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmap for Data Analysis
  CRAN · Apr 27, 2022
  R package for building hierarchical Voronoi tessellations and overlay heatmaps to enable multi-level exploratory data analysis; developed with support from Mu Sigma.

I am open to collaborations on open-source packages, applied research, and AI-driven projects.