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Rayanoothala Praneetha Sree

Assistant Professor , Department of CSE · Assistant Professor

https://researchid.co/rpraneethasree
@iiitk.ac.in
12Scopus Publications
204Google Scholar Citations
6Google Scholar h-index
4Google Scholar i10-index

Research Interests

Data Mining, Machine Learning, Data analytics, Data Sciences,Databases.

Biography

Dr R Praneetha Sree has been doing research in proposing approaches and solutions to some problems based on the research in the fields of Data Mining, Machine Learning, and Data Science. She has proposed an tree based approach for Sequential Pattern Mining during her MTech at NIT Agartala. She has worked on four related problems on trajectory data at Ph.D. level at NIT Warangal. Currently, Dr R Praneetha Sree has been working at Indian Institute of Technology Design and Manufacturing Kurnool as Assistant Professor in Computer Science & Engineering department. She has been guiding BTech, MTech students and Two PhD students on problems related to Data Mining, Machine Learning. She is chief coordinator on a worklet given by Samsung to IIITDM Kurnool and successfully reaching its final stage of completion of the worklet. She has experience in handling various kinds of data and applying various methods and techniques. She has been guiding independent research and capable of proposing the

Education

BTech - CSE - JNTU Hyd MTech - CSE - NIT Agartala P.hD - CSE - NIT Warangal

Recent Scopus Publications

  1. DMCT-GAN: dynamic modeling of collision-free trajectory prediction using generative adversarial networks
    Knowledge and Information Systems, 2026
  2. Smart agriculture 5.0: blockchain and reinforcement learning synergy for multicropping optimization and traceable IoT-Enabled supply chains
    Frontiers in Blockchain, 2026
  3. Systematic literature review of Blockchain-enhanced privacy in fog computing networks
    Cluster Computing, 2025
  4. Human Trajectory Forecasting Through Safety-Driven Negative Sampling
    Cognitive Science and Technology, 2025
  5. RDGT-GAN: Robust Distribution Generalization of Transformers for COVID-19 Fake News Detection
    IEEE Transactions on Computational Social Systems, 2024

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