Parvathaneni Naga Srinivasu

About

Dr. P Naga Srinivasu is an Associate Professor at Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amaravati, Andhra Pradesh, India. Holding a post-doctoral fellowship from the Department of Teleinformatics Engineering at the Federal University of Ceará, Brazil, he also serves as a research fellow at INTI International University, Malaysia. After graduating with a Bachelor's degree in Computer Science Engineering from SSIET, JNTU Kakinada, in 2011, he obtained a Master's in Computer Science Technology from GITAM University, Visakhapatnam, in 2013. His doctoral research at GITAM University focused on Automatic Segmentation Methods for Volumetric Estimation of Damaged Areas in Astrocytoma instances Identified from 2D Brain MR Imaging. Dr. Srinivasu's expertise spans biomedical imaging, soft computing, explainable AI, and healthcare informatics, with a significant impact on academic literature through numerous publications in esteemed peer-reviewed journals and edited book volumes with renowned publishers, including Springer, Elsevier, IGI Global, CRC Press, and Bentham Science. Actively contributing to the scholarly community, he is a diligent reviewer for over 80 journals indexed in the Scopus and Web of Science. He is also a guest editor and technical advisory board member for various internationally recognized conferences. His diverse contributions reflect a steadfast dedication to advancing research and knowledge in healthcare informatics and biomedical engineering.

Employment

• Amrita Vishwa Vidyapeetham Associate Professor
  2024 - Present
• Pradad V Potluri Siddhartha Institute of Technology Associate Professor
  2022 - 2024
• VNR Vignana Jyothi College of Engineering and Technology Senior Assistant Professor
  2022 - 2022
• Gandhi Institute of Technology and Management Institute of Technology Assistant Professor
  2020 - 2022
• Anil Neerukonda Institute of Technology and Science Assistant Professor
  2013 - 2020

Education

• GITAM Institute of Technology Masters in Technology
  2011 - 2013
• Sri Sarathi Institute of Engineering and Technology Bachelor in Technology
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (67)

• Benchmarking YOLO Variants for Enhanced Blood Cell Detection
  International Journal of Imaging Systems and Technology 2025 DOI: 10.1002/ima.70037
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• Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025 DOI: 10.1109/JSTARS.2025.3547058
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• SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3576914
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• XAI Driven Software Defect Prediction Using Adaptive Feature Engineering Coupled With Autoencoder and Multi-Layer Perceptron: An Empirical Study
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3603451
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• NLP based text classification using TF-IDF enabled fine-tuned long short-term memory: An empirical analysis
  Array 2025 DOI: 10.1016/j.array.2025.100467
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• An explainable Artificial Intelligence software system for predicting diabetes
  Heliyon 2024 DOI: 10.1016/J.HELIYON.2024.E36112
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• Enhancing medical image classification via federated learning and pre-trained model
  Egyptian Informatics Journal 2024 DOI: 10.1016/J.EIJ.2024.100530
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• CBCD: Comprehensive Analysis for Bone Cancer Diagnosis through MRI Imaging
  International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU) 2024 DOI: 10.1109/IC-CGU58078.2024.10530830
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• An Interpretable Approach with Explainable AI for Heart Stroke Prediction
  Diagnostics 2024 DOI: 10.3390/diagnostics14020128
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• XAI‐driven model for crop recommender system for use in precision agriculture
  Computational Intelligence 2024 DOI: 10.1111/coin.12629
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