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VAZRALU MUNNANGI

ASSOCIATE PROFESSOR INFORMATION TECHNOLOGY · MALLAREDDY COLLEGE OF ENGINEERING AND TECHNOLOGY

https://researchid.co/vazralumunnangi
@mrcet.com
5Scopus Publications

Research Interests

Image processing and deep learning

Biography

Prof. Vazralu Munnangi is an accomplished academician with over 20 years of rich experience in technical education, academic leadership, research mentorship, and student development. He completed his B. Tech in CSIT from Vignan’s Engineering College, Guntur (JNTU-H), M. Tech in Computer Science and Engineering from JNTU Kakinada, and is currently pursuing his Ph.D. at Vellore Institute of Technology (VIT), Vellore. His academic and research specialization spans Image Processing, Wireless Sensor Networks, Data Science, Cyber Security, and IoT Systems. As a forward-thinking educator, he has significantly contributed to course design, laboratory development, introduction of new academic programs, and strengthening Outcome-Based Education (OBE) frameworks. He has also served on Board of Studies (BOS) and institutional curriculum design committees, supporting NAAC/NBA accreditation and academic quality systems. Prof. Vazralu has guided numerous UG and PG projects, facilitated industry-dri

Education

Prof. Vazralu Munnangi is an accomplished academician with over 20 years of rich experience in technical education, academic leadership, research mentorship, and student development. He completed his B. Tech in CSIT from Vignan’s Engineering College, Guntur (JNTU-H), M. Tech in Computer Science and Engineering from JNTU Kakinada, and is currently pursuing his Ph.D. at Vellore Institute of Technology (VIT), Vellore

Recent Scopus Publications

  1. Optimized Deep Learning Approach for Alzheimer’s Prediction Using CNN on MRI Images
    Driving Innovation by Dynamic Optimization the Challenges of Reshaping Industry, 2026
  2. Multiclass Classification of Chest X-rays based Pulmonary Disorder Using a Specialized VGG-19 Deep Neural Network
    Journal of Innovative Image Processing, 2025
  3. Forecasting Stock Exchange Trends for Discrete and Non-discrete Inputs Using Machine Learning and Deep Learning Techniques
    Smart Innovation Systems and Technologies, 2023
  4. A Novel Approach to Universal Egg Incubator Using Proteus Design Tool and Application of IoT
    Smart Innovation Systems and Technologies, 2023
  5. Internet of things: Present state of the art, applications, protocols and enabling technologies
    Advances in Intelligent Systems and Computing, 2019

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