Jyoti Prakash Singh

About

Jyoti Prakash Singh is an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, India. He has co-authored seven textbooks and one edited book. He has published over 80 international journal publications in SCIE-indexed journals of reputed publications such as IEEE, ACM, Springer, Elsevier, Taylor and Francis etc. He has also published more than 75 international conference proceedings. He has two Indian patents granted in the field of Malware Analysis for Mobile devices. He was involved as an investigator in the MeitY-sponsored project to develop algorithms for spam calls/fake calls in a telephonic conversation. Dr Singh has been recognized as “World ranking of the top 2% scientists” in the area of “Artificial Intelligence” (the year 2021 and 2022), according to a survey given by Stanford University, USA. He was awarded S4DS Data Scientist (Academia) Award by the Society for Data Science in 2020. He is an Associate Editor of the International Journal of Electronic Government Research by IGI global and Network Computation in Neural Systems by Taylor & Francis.

Employment

• National Institute of Technology Patna Associate Professor
  2011 - Present

Education

• University of Caclutta Ph.D.
  2011 - 2015
• Sikkim Manipal Institute of Technology M.Tech
  2002 - 2005
• Kalyani Government Engineering College B.Tech
  1996 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (135)

• Enhancing Text Summarization with Diverse Regression Models and Node2Vec in Low-Resource Indian Languages
  Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 2026 DOI: 10.1007/s40010-026-01208-w
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• Explainable Rating Prediction and Sentiment-Segmented Summarization for E-Governance Applications
  SN Computer Science 2026 DOI: 10.1007/s42979-026-05287-9
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• Clickbait post identification with autoencoder and linguistic features
  Progress in Artificial Intelligence 2026 DOI: 10.1007/s13748-026-00465-5
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• Fine-Grained Visual Aspects in Genre Prediction
  IEEE Transactions on Computational Social Systems 2026 DOI: 10.1109/TCSS.2025.3591607
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• Android Malware Detection Using Smali Codes
  2026 DOI: 10.1007/978-3-032-25446-7_28
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• GTS-Net: A Spatio-Temporal Graph-Informed Diffusion Model for Traffic Matrix Estimation
  2026 DOI: 10.2139/ssrn.6661794
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• Mitigating Inconsistencies in User Ratings of Android Apps Using Neural Network
  2026 DOI: 10.1007/978-981-96-6537-2_17
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• Large Language Model-Powered Generation of Multilingual Online Consumer Reviews for E-Commerce
  Journal of Global Information Management 2025 DOI: 10.4018/JGIM.395841
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• Genre-Based Movie Recommendation System to Improve Efficiency Using LSTM Method
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-96-6537-2_9
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• MLNAS: Meta-learning based neural architecture search for automated generation of deep neural networks for plant disease detection tasks
  Network: Computation in Neural Systems 2025 DOI: 10.1080/0954898X.2024.2374852
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