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Dr. P N S B S V Prasad V

Assistant Professor, Department of Computer Science and Engineering, School of Computing, Amaravati

Qualification: Ph.D
pv_prasad@av.amrita.edu
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Research Interest: Biomedical Sensors, IoT, Machine Learning, Tiny Machine Learning

Bio

Dr. P N S B S V Prasad V is a research professional focusing on machine learning applications at the device level, with core expertise in embedded systems. His work emphasises the design and fabrication of advanced sensors and their integration into IoT and embedded platforms for real-time monitoring, particularly in non-invasive biomedical applications. He has extensive experience in developing practical solutions that leverage cutting-edge technologies to address complex real-world challenges. In addition, he actively explores the potential of quantum machine learning, recognising its promise for future device-level implementation.

Publications

Journal Article

Year : 2026

Non-invasive cholesterol assessment: current methods and future perspectives

Cite this Research Publication : Ravisankar Dakupati, P N S B S V Prasad V, Syed Ali Hussain, Pradyut Kumar Sanki, Non-invasive cholesterol assessment: current methods and future perspectives, Analytical Methods, Royal Society of Chemistry (RSC), 2026, https://doi.org/10.1039/d6ay00245e

Publisher : Royal Society of Chemistry (RSC)

Year : 2025

An advanced IoT-based non-invasive in vivo blood glucose estimation exploiting photoacoustic spectroscopy with SDNN architecture

Cite this Research Publication : P.N.S.B.S.V. Prasad V., Syed Ali Hussain, Amrit Kumar Singha, Biswabandhu Jana, Pranab Mandal, Pradyut Kumar Sanki, An advanced IoT-based non-invasive in vivo blood glucose estimation exploiting photoacoustic spectroscopy with SDNN architecture, Sensors and Actuators A: Physical, Elsevier BV, 2025, https://doi.org/10.1016/j.sna.2025.116391

Publisher : Elsevier BV

Year : 2024

Efficient in situ learning of hybrid LIF neurons using WTA mechanism for high-speed low-power neuromorphic systems

Cite this Research Publication : Syed Ali Hussain, P N S B S V Prasad V, Pradyut Kumar Sanki, Efficient in situ learning of hybrid LIF neurons using WTA mechanism for high-speed low-power neuromorphic systems, Physica Scripta, IOP Publishing, 2024, https://doi.org/10.1088/1402-4896/ad79c5

Publisher : IOP Publishing

Year : 2024

Design and Development of an IoT-Based Embedded System for Continuous Monitoring of Vital Signs

Cite this Research Publication : P. N. S. B. S. V. Prasad, Syed Ali Hussain, Pavankalyan Thotakura, Pradyut Kumar Sanki, Design and Development of an IoT-Based Embedded System for Continuous Monitoring of Vital Signs, Journal of Electronic Materials, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s11664-024-11368-3

Publisher : Springer Science and Business Media LLC

Year : 2024

Augmenting authenticity for non-invasive in vivo detection of random blood glucose with photoacoustic spectroscopy using Kernel-based ridge regression

Cite this Research Publication : P. N. S. B. S. V. Prasad V, Ali Hussain Syed, Mudigonda Himansh, Biswabandhu Jana, Pranab Mandal, Pradyut Kumar Sanki, Augmenting authenticity for non-invasive in vivo detection of random blood glucose with photoacoustic spectroscopy using Kernel-based ridge regression, Scientific Reports, Springer Science and Business Media LLC, 2024, https://doi.org/10.1038/s41598-024-53691-z

Publisher : Springer Science and Business Media LLC

Year : 2022

Design of an efficient QCA-based median filter with energy dissipation analysis

Cite this Research Publication : Vasudeva Bevara, Syed Alihussain, P. N. S. B. S. V. Prasad, Pradyut K. Sanki, Design of an efficient QCA-based median filter with energy dissipation analysis, The Journal of Supercomputing, Springer Science and Business Media LLC, 2022, https://doi.org/10.1007/s11227-022-04780-1

Publisher : Springer Science and Business Media LLC

Conference Proceedings

Year : 2025

Non-Invasive In-Vivo Detection of Random Blood Glucose using Photoacoustic Spectroscopy

Cite this Research Publication : P N S B S V Prasad V, Syed Ali Hussain, Nagamalleswari Katragadda, Biswabandhu Jana, Ch. Lakshmi Rajyam, Pranab Mandal, Pradyut Kumar Sanki, Non-Invasive In-Vivo Detection of Random Blood Glucose using Photoacoustic Spectroscopy, 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, 2025, https://doi.org/10.1109/embc58623.2025.11254810

Publisher : IEEE

FDP / Workshops

Completed FDP on QNX Real-Time Operating Systems in Physical Mode.

Membership

The Institution of Electronics and Telecommunication Engineers (IETE)- Lifetime Membership.

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