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Kopanati Shankar

Associate Professor and Computer Science and Engineering · JNTUGV

https://researchid.co/kopanatishankar
@nsrit.edu.in
11Google Scholar Citations
3Google Scholar h-index

Research Interests

Computer Networks

Biography

Kopanati Shankar is an academician and administrator in the field of Computer Science and Engineering, currently serving as an Associate Professor in the Department of Computer Science and Engineering at Nadimpalli Satyanarayana Raju Institute of Technology (NSRIT), Visakhapatnam. He has over two decades of experience in teaching, academic administration, and student mentoring. He obtained his M.Tech in Computer Science & Engineering from Jawaharlal Nehru Technological University Hyderabad and has taught a wide range of subjects including Theory of Computation, Artificial Intelligence, Machine Learning, Compiler Design, Software Engineering, Database Management Systems, and Computer Graphics. Throughout his career, he has held several key administrative positions such as Head of the Department (CSE) and Officer-in-Charge of Examinations at NSRIT. He has actively contributed to academic planning, examination management, accreditation activities, and student development initiatives. P

Education

M.Tech

Recent Google Scholar Publications

  1. AGENTIC ENTERPRISE ASSISTANT: “KNOWLEDGE RETRIEVAL, REASONING, AND AUTOMATED ISSUE RESOLUTION”
    The Journal of Computational Science and Engineering 4 (1), 29-43 , 2026, 2026.0
  2. ManaVartha AI: “A Retrieval-Augmented Generation Approach for Current Affairs Question Answering in Telugu News Articles Using Large Language Models”
    The Journal of Computational Science and Engineering (TJCSE) 4 (1), 17-28 , 2026, 2026.0
  3. Injecting Nanobuds: A Step Toward Safer Healthcare Solutions
    The Journal of Computational Science and Engineering (TJCSE) 3 (1), 12-20 , 2025, 2025.0
  4. Women safety app to detect danger and prevent automatically using machine learning
    International Conference on Computational Innovations and Emerging Trends … , 2024, 2024.0 | Citations: 4.0
  5. Automated Data Driven Approach To Waste Management
    International Conference on Computational Innovations and Emerging Trends … , 2024, 2024.0

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