Rajan Das Gupta

About Me

Rajan Das Gupta is an Adjunct Faculty and UX Researcher with experience in both Education and Technology. He was a Computer Science teacher at PlayPen and is currently a UX Researcher at Apex DMIT Ltd.

Rajan specializes in Advanced AI, including Generative AI and Explainable AI, with over years of experience in Academia and Industry. His focus is on Natural Language Processing (NLP) and Machine Learning (ML), applying these technologies to real-world problems. He is committed to advancing AI innovation and bridging research with industry applications.

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Jun 1, 2030

Pattern Recognition Tasks with Personalized Federated Learning

This study proposes a personalized federated learning (PFL) approach for pattern recognition tasks, improving model accuracy by adapting to client-specific data while preserving privacy. It demonstrates superior performance in tasks like image classification, speech recognition, and text analysis compared to traditional federated learning methods.

Jan 1, 2025

xFiTRNN: A hybrid self attent linearized phrase structured contextualized transformer based RNN for financial sentence analysis with sentence level explainability

xFiTRNN is a hybrid model for financial sentence analysis, combining self-attention, linearized phrase structures, and a contextualized transformer-based RNN. It improves accuracy in sentiment classification while providing sentence-level explainability. This model is ideal for financial text analysis and decision-making transparency.

Dec 7, 2024

Large Language Models in Computer Science Education: A Systematic Literature Review

Neonatal death is a major issue worldwide. Early prediction of at-risk babies can help prevent death. Using data from 1.4 million newborns, machine learning models like XGBoost, Random Forest, and LSTM were tested. XGBoost and Random Forest had 94% accuracy, while LSTM achieved 99% accuracy. LSTM is the most effective model for predicting neonatal mortality and guiding care.

Mar 1, 2024