Paramita Ray

About

I am working as an Assistant Professor at SRM University. I completed my M.Tech. at the University of Calcutta (2013) and did my Ph.D. at the University of Calcutta, Kolkata (2024). Recently, my project received Marie Skłodowska-Curie Actions "Seal of Excellence" from the European Union. I received a senior research fellowship from GESIS: Leibniz Institute for Social Sciences, Cologne, Germany. I have received two project grants from UGC. I have also worked as a coordinator and assistant coordinator for several prestigious workshops and seminars conducted by IEEE and AICTE (All India Council for Technical Education, Govt. of India). My research papers are published in several international journals and conferences. I also have industrial experiences. My areas of research are machine learning, health informatics, agent-based modeling, text mining, information retrieval, multimodal NLP, deep neural network-based NLP tasks, cross-lingual NLP, generative AI for text generation, large language models (LLMs), and explainable AI.

Employment

• SRM University, Andhra Pradesh Assistant Professor
  2025 - Present
• Dinabandhu Andrews Institute of Technology & Management Associate Professor
  2024 - 2025

Education

• University of Calcutta Ph.D. in Information Technology
  2018 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• EKAMG: Enhanced Knowledge-Augmented Metadata Generation for Sparse Data Catalogs
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3697116
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• Context-Aware Search: LLM-Driven Model for Searching Emerging Topics
  Data Science & Management 2025 DOI: 10.21203/rs.3.rs-6042607/v1
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• A hybrid model of Multivariate Bayesian Time Series Model with Multi-Temporal Convolution Network for Forecasting Stock Market during Covid-19 Pandemic
  Research Square 2024 DOI: 10.21203/rs.3.rs-3948985/v1
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• Impact Analysis of Natural Herb on Streptozotocin-Induced Diabetic Rats using Machine Learning Method
  2024
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• Impact Analysis of Natural Herb on Streptozotocin-Induced Diabetic Rats using Machine Learning Method
  Research Square 2024 DOI: 10.21203/rs.3.rs-4541434/v1
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• Multivariate Bayesian Time-Series Model with Multi-temporal Convolution Network for Forecasting Stock Market During COVID-19 Pandemic
  International Journal of Computational Intelligence Systems 2024
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• Popular Events Detection from Blogs/Forums and Analyzing the Pattern of Users' Opinionwith Stock Market Movement
  2023
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• A mixed approach of deep learning method and rule-based method to improve aspect level sentiment analysis
  Applied Computing and Informatics 2022
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• A hybrid approach of Bayesian structural time series with LSTM to identify the influence of news sentiment on short-term forecasting of stock price
  IEEE Transactions on Computational Social Systems 2021
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• Demonetization and its aftermath: An analysis based on twitter sentiments. Sādhanā, 43 (11), 186
  2018
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• Document level sentiment analysis for product review using dictionary based approach
  Int. J. Comput. Sci. Eng. 2017
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• Twitter sentiment analysis for product review using lexicon method
  2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) 2017
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• Decomposition of Quantum Gates with Primitives Quantum Operations.
  International Journal of Advanced Research in Computer Science 2016
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• Quantum simulation of Dijkstra’s algorithm
  Int. J. Adv. Res. Comput. Sci. Manag. Stud 2014
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• Water Withdrawal Trends Across Multiple UN Member Nations using Time Series Forecasting
  Springer Nature Computer Science Journal.
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