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Surampudi Srinivasa Rao

Professor, Electronics and Communication Engineering · Malla Reddy College of Engineering and Technology

https://researchid.co/drsurampudi
@mrcet.ac.in
29Scopus Publications
96Google Scholar Citations
6Google Scholar h-index
5Google Scholar i10-index

Biography

Dr S SRINIVASA RAO B.TECH, M.TECH, PH.D(JNTUH), MIEEE, MISTE, MIETE Professor & Principal “EDUCATION IS THE ARCHITECTURE OF THE SOUL” Dr S Srinivasa Rao, Principal, Malla Reddy College of Engineering and Technology have an experience of more than 30 years in Teaching and Research put together. He did his B.Tech from one of the prestigious colleges in India, Madras Institute of Technology, Chennai, M.Tech and PhD from JNTUH, Hyderabad. He has published more than 50+ research papers in various National and International Journals. He has more than 10 National and 1 International Patents. He is the visiting Professor for LUC, Malaysia. He is the recipient of BEST TEACHER AWARD; BEST PRINCIPAL AWARD and HONORARY FELLOWSHIP FOR VISIONARY EDUCATIONAL LEADERSHIP AWARD. He is the member of IEEE, ISTE and IETE. Under his supervision 5 research scholars received their PhD Degree and 6 students are working under his supervision. Areas of Interest include Wireless Communications, SDR..

Education

PhD: 2013, Wireless Communications, JNTUH Hyderabad. M.Tech-2004, DSCE, JNTU College of Engineering Hyderabad, JNTUH Hyderabad. B.Tech-1989, ECE, Madras Institute of Technology, Anna University, Chennai.

Recent Scopus Publications

  1. Multi-stage decimation with hybrid CIC-polyphase filtering for IoT gateway sample rate conversion
    Scientific Reports, 2026
  2. Area and Power Optimized Architecture of Sample Rate Converter for IoT Gateway Applications
    International Journal of Electrical and Computer Engineering Systems, 2026
  3. Dynamic Cyber Attack Detection and Spyware Identification Using Deep Learning Methods
    Lecture Notes in Networks and Systems, 2025
  4. Retraction Note: Hybrid Speech Steganography System using SS-RDWT with IPDP-MLE approach (Soft Computing, (2023), 27, 2, (1117-1129), 10.1007/s00500-021-05970-4)
    Soft Computing, 2024
  5. Automatic Semantic Segmentation and Classification of Remote Sensing Image Data for Flood Detection Using Novel LSTM Neural Network
    SN Computer Science, 2024

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