Rajashree Nayak

About

Dr. Rajashree Nayak is currently working as an assistant professor at the Department of Electronics and Communication Engineering at NIT Jamshedpur. She has completed her PhD in Image Processing from the National Institute of Technology, Rourkela, India. She received her M.Tech from VSSUT, Burla, Sambalpur, India, and her B.Tech from BPUT, Rourkela. She has published 15 no.s of research articles in several SCI and Scopus indexed (Q1 and Q2) journals of international repute, 4 book chapters and 17 no.s of articles in reputed international conferences such as ICPRAM and ICIP etc. She has received many awards for her research papers. She qualified for GATE in the years 2011 and 2013. She is associated as a potential reviewer in many reputed International Journals, i.e., IET Image Processing, Multimedia Tools and Applications and many more. She is a member of IEEE. Her areas of research interest are Image Processing, Biomedical Image Analysis, Data Science, Artificial Intelligence and Machine Learning.

Employment

• National Institute of Technology Jamshedpur Assistant Professor
  2024 - Present
• Birla Global University Assistant Professor
  2023 - 2024
• JISIASR, JIS University, Kolkata Assistant Professor
  2021 - 2023
• National Institute of Technology Meghalaya Assistant Professor (Adhoc)
  2019 - 2020

Education

• National Institute of Technology Rourkela PhD
  2013 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• LDFGastro-Net: Lite-DenseFuse Network for gastrointestinal disorders classification towards hardware deployment
  Computers and Electrical Engineering 2026 DOI: 10.1016/j.compeleceng.2025.110852
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• Recommendations on Financial Models for Stock Price Prediction
  SN Computer Science 2024 DOI: 10.1007/s42979-023-02507-4
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• EAYv3-CF$C^{3}$: Ensemble Learning With Attention-Based Yv3 Combined With CF$C^{3}$ Loss for Obscenity Detection
  IEEE Transactions on Emerging Topics in Computational Intelligence 2024 DOI: 10.1109/TETCI.2023.3320553
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• 3 MoBMGANModified
  Computational Modeling and Data Analysis in COVID-19 Research 2021
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• Copy-Move Image Forgery Detection Using Spatio-Structured SIFT Algorithm
  2021 DOI: 10.1007/978-981-16-1086-8_3
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• Generative Adversarial Network for Heritage Image Super Resolution
  2021 DOI: 10.1007/978-981-16-1092-9_14
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• A New Single-Image Super-Resolution Using Efficient Feature Fusion and Patch Similarity in Non-Euclidean Space
  Arabian Journal for Science and Engineering 2020
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• Super-resolution image reconstruction using molecular docking
  IET Image Processing 2020
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• New single-image super-resolution reconstruction using MRF model
  Neurocomputing 2018 DOI: 10.1016/j.neucom.2018.02.090
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• Enhanced Iterative Back-Projection Based Super-Resolution Reconstruction of Digital Images
  AJSE 2018 DOI: 10.1007/s13369-018-3150-1
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