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Dr. KARTHIK KOVURI

Dean, Academics and Professor, Computer Science and Engineering · B V Raju Institute of Technology

https://researchid.co/karthikkovuri
@bvrit.ac.in
20Scopus Publications

Research Interests

Computer Networks, Architectures, Parallel Processing, Algorithms, Cloud Computing, Blockchain, IoT and Ubiquitous Computing.

Biography

Dr. Karthik Kovuri is an Academician, Researcher and an Administrator. He has 18 years of teaching experience at various academic and administrative positions in Engineering Institutions. At present, he is working as Associate Dean for Academics, and Professor in the Department of Computer Science & Engineering at B.V. Raju Institute of Technology, Narsapur, Telangana. He designs curriculum for UG and PG technological education. His areas of interest include Computer Networks, Architectures, Parallel Processing, Algorithms, Cloud Computing, Blockchain, IoT and Ubiquitous Computing. He has published 28 research papers in National & International Journals and Conferences. He represented India in the MIC Global Summit at Seattle, USA. He is the recipient of Indian Academic Leader Award-2022, Jyeshta Acharya Award, Microsoft Azure Educator Grant Award and Outstanding Faculty Teaching Award. He has written a book on “Strategic perspectives of Cloud Computing” and has 5 Patents.

Education

B.Tech. in Computer Science and Engineering M.Tech. in Computer Science and Engineering Ph.D in Computer Science and Engineering

Recent Scopus Publications

  1. Empowering E-commerce Decisions: Machine Learning Insights from Customer Review Sentiments
    Lecture Notes in Networks and Systems, 2026
  2. Vulnerabilities in IoT device clusters: Analysing security weaknesses and attack impacts
    Data Driven AI A Multidisciplinary Approach Techniques Applications and Insights from Multiple Domains, 2026
  3. Data Privacy in Voice Search Advertising: A Blockchain-Based Consent Model
    2025 International Conference on Future Technologies Icft 2025, 2025
  4. Identification and Correction of Image Similarity using autoencoder
    Lecture Notes in Networks and Systems, 2025
  5. Meta-Learning Enhanced Self-Supervised Methods for Crop Yield Estimation Using UAV Imagery in Precision Agriculture
    Lecture Notes in Networks and Systems, 2025

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