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    FACULTY

    Dr. Sanjana Prasad

    Dr. Sanjana Prasad


    Electronics and Communication Engg.

    Associate Professor

    Email: [email protected]

    Phone: +91-9677841005

    Office: +91-9677841005

    Google Scholar Profile

    Biography:

    Dr. Sanjana Prasad is currently working as Associate Professor in the Department of ECE at HKBK College of Engineering, Nagawara, Bengaluru She completed her B.E in Electronics and Communication Engineering from NGP Institute of Technology in the year 2013. She graduated M.E in Communication systems from Bannari Amman Institute of Technology, Sathyamangalam, Erode in the year 2015. She completed her Ph.D. (Full time) in Information and Communication Engineering, Anna University, Chennai in the year 2020. She has research experience in the field of Wireless Communications and teaching experience at PSG College of Technology, Coimbatore. Her Ph.D thesis title is “Investigations on techniques to reduce Peak to Average power ratio reduction in OFDM systems”. She has published papers in 4 International Journals, 5 International Conferences and 2 National Conferences. She is a reviewer for many international journals such as IET Communications, International Journal of Communication systems, IEEE Access, International Journal of Engineering Research and Technology, International Journal of Antennas and Propagation and Wireless Personal Communications. She is also a member of professional bodies such as IEEE, IAENG and IETE. Her research interests include Wireless Communications, Beyond 5G Networks, Signal Processing, Optimization techniques, 5G Technology and Artificial Intelligence. She also holds additional responsibilities such as Internship Co-ordinator for the ECE department and Chief Editor of the College Magazine and Committee for the Academic Year 2020-21. She is also the Chairperson of Centre for Research and Development- Student Club at HKBKCE. She is also one of the Members of MATLAB Users Club at the Institutional Level.

    Significant Publications:

    • Prasad, S. and Jayabalan, R., 2020. PAPR reduction in OFDM systems using modified SLM with different phase sequences. Wireless Personal Communications110(2), pp.913-929.
    • Prasad, S. and Jayabalan, R., 2019. PAPR reduction in OFDM using scaled particle swarm optimisation based partial transmit sequence technique. The Journal of Engineering2019(5), pp.3460-3468.
    • Prasad, S., Scholar, R. and Jayabalan, R., 2017, October. Scaled offset PSO based PTS for PAPR reduction in OFDM systems. In 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) (pp. 53-57). IEEE.
    • Prasad, S. and Ramesh, J., 2017, March. Partial transmit sequence based PAPR reduction with GA and PSO optimization techniques. In 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) (pp. 1-4). IEEE.
    • Prasad, S., Mahalakshmi, P.S., Clement, A.J. and Swathi, R., 2014. Smart Survaillance Monitoring System Using Raspberry PI dan PIR Sensor. International Journal of computer and information Technologi5.
    • Pushpavalli, M., Mahalakshmi, P., Prasad, S. and Swathi, R., Efficient Routing Protocol with Security for Transferring the Medical data in Wireless Body Area Networks.
    • Priyanga, D., Sundararajan, T.V.P., Subhashini, S. and Prasad, S., Collation of DSR, ZRP and FSR Routing Protocols in Sub Urban Environment of Vehicular Networks.

    Educational Qualification:

    B.E (Electronics and Communication Engineering – Dr.N.G.P Institute of Technology

    M.E (Communication systems)- Bannari Amman Institute of Technology

    Ph.D (Information and Communication Engineering) – PSG College of Technology

    Total Experience in Years :   5

    Teaching: 1

    Research: 4

    Teaching Areas:

    • Basic Electronics
    • Digital Signal Processing
    • HDL
    • Wireless Communications
    • VLSI

    Research Areas:

    • OFDM systems
    • Optimization techniques
    • 5G Systems
    • Vehicular Adhoc networks (VANET)
    • MIMO techniques
    • IoT
    • Machine learning
    • Data science
    • Artificial Intelligence

    Professional Memberships:

    • IEEE
    • IAENG
    • IETE

    PLACEMENT STATISTICS


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