Nageswara Rao Moparthi

About

Dr. Nageswara Rao Moparthi is a distinguished scientist and professor at Amrita Vishwa Vidyapeetham, Amaravati. He holds a Ph.D. in Computer Science and Technology from Sri Krishnadevaraya University and an M.Tech in Computer Science and Engineering from ANU. His early research focused on IoT, Cloud Computing, Software Engineering, Business Intelligence, Artificial Neural Networks, Big Data Analytics, Machine Learning, Apache Spark, Deep Learning, and Fuzzy Graphs.

With over 14 years of IT industry experience, including three years of onsite work in the USA, he has worked with major multinational corporations like IBM, Sony, Mphasis, and HP. His roles ranged from software trainee to project lead, primarily focusing on software development, testing, and business requirement gathering. Additionally, he has six years of teaching and research experience.

With over a another With over 10 years of teaching cum research experience Dr. Moparthi has published more than 60 research papers, secured nine patents, and authored four books in international journals and publications. His editorial contributions include serving on the boards of several reputed journals, such as the International Journal on Future Revolution in Computer Science & Communication Engineering, the International Journal of Advanced Research in Computer Science (IJARCS), the International Journal of Creative Research Thoughts (IJCRT), and the International Journal of Scientific & Engineering Research (IJLERA).

He is also an academic editor for PEERJ Computer Science and KSII Transactions on Internet and Information Systems and several SCI-indexed journals, including Springer, IEEE Access, IGI Global, and the Journal of Big Data. In addition, he has reviewed articles for SCOPUS-indexed journals, such as the Journal of Software Engineering and Applications and the International Journal of Advanced Intelligence Paradigms.

His notable books include Decision Patterns on Software Metrics for Single & Multiple Projects (ISBN: 978-3-330-04955-0) and Scheduling of Large Datasets Using Multiple Event-Based Algorithms (ISBN: 978-3-330-35263-6).

Employment

• Amrita Vishwa Vidyapeetham University-Amaravathi Professor
  2024 - Present
• KL University Professor
  2019 - 2024
• Velagapudi Ramakrishna Siddhartha Engineering College Associate Professor
  2016 - 2019
• KKR & KSR Institue of Technology & Service Associate Professor
  2011 - 2016
• IBM INDIA PVT. LTD Sr Software Engineer
  2010 - 2012
• MPHASIS AN HP COMPANY Sr Software Engineer
  2007 - 2010
• SONY INDIA PVT. LTD Software Engineer
  2006 - 2007
• COASTALTECH SOLUTIONS(P)LTD Software engineer
  2003 - 2006
• INFOPLUS solutions(p)Ltd Software Engineer
  2000 - 2003

Education

• Sri Krishnadevaraya University Doctoriate
  2012 - 2016
• Acharya Nagarjuna University Master of Technology in Computer Science and Engineering
  2008 - 2010
• Bharathidasan University Master of Computer Science
  1995 - 1997
• Acharya Nagarjuna University Bachelor of Computer Science
  1992 - 1995

Projects & Funding

Projects & funding information is unavailable.

Publications (74)

• DR-VisionNet: a hybrid U-Net and dilated transformer for diabetic retinopathy segmentation and classification
  Optics & Laser Technology 2026 DOI: 10.1016/J.OPTLASTEC.2026.115169
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• A lightweight shallow convolution neural network for automatic identification of Diabetic Foot Ulcers
  Image and Vision Computing 2026 DOI: 10.1016/j.imavis.2026.105925
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• Preface
  Proceedings of 2024 4th International Conference on Big Data Artificial Intelligence and Risk Management Icbar 2024 2025
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• Retraction notice to “An improved energy-efficient cloud-optimized load-balancing for IoT frameworks” [Heliyon 9 (2023) e21947] (Heliyon (2023) 9(11), (S2405844023091557), (10.1016/j.heliyon.2023.e21947))
  Heliyon 2025 DOI: 10.1016/j.heliyon.2025.e43775
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• RETRACTED: A hybrid multi-source data fusion for word, sentence, aspect, and document-level sentiment analysis on real-time databases
  Journal of Intelligent and Fuzzy Systems 2025 DOI: 10.3233/JIFS-234076
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• IoMT enabled diabetic retinopathy segmentation and classification using ensemble efficient net model
  Multimedia Tools and Applications 2025 DOI: 10.1007/s11042-024-19804-6
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• Diabetic retinopathy classification using lightweight retinal features extraction from fundus images
  Multimedia Tools and Applications 2025 DOI: 10.1007/s11042-025-21106-4
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• A Smart Healthcare System Using Consumer Electronics and Federated Learning to Automatically Diagnose Diabetic Foot Ulcers
  International Journal of Interactive Multimedia and Artificial Intelligence 2025 DOI: 10.9781/ijimai.2024.10.04
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• A Consensus Blockchain-Based Credit Risk Evaluation and Credit Data Storage Using Novel Deep Learning Approach
  Computational Economics 2025 DOI: 10.1007/S10614-025-10905-4
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• MALEXNET-EUNET: MULTI-CLASS LIVER CANCER CLASSIFICATION AND SEGMENTATION USING A HYBRID DEEP LEARNING SYSTEM
  Journal of Mechanics in Medicine and Biology 2025 DOI: 10.1142/S0219519424500349
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