Submitted:
[1] Syed Abdul Jameer, Pudi Dhileswararao, Naresh Mondal, & P. K. Sanki, “FPGA-Based Secure IoT Framework with Dynamic PUF-Based Key Generation and Adaptive Anomaly Detection,” submitted to IEEE Internet of Things Journal, Regular Article, Manuscript ID: IoT-76387-2026, submitted Oct. 24, 2026, under review.
[2] S. S. M. Pujari, Syed Ali Hussain, Ravisankar Dakupati, Sai Sankar Yandamuri, Ajit Kumar & P. K. Sanki, “An autonomous dual-UAV system for survivor detection and relief delivery in disaster-affected areas,” IEEE Transactions on Cybernetics, manuscript under review, Manuscript ID: CYB-E-2026-10-4127, submitted Oct. 21, 2026.
[3] S. S. M. Pujari, A. J. Syed, R. Dakupati, and P. K. Sanki, “Design, implementation, and hardware validation of an FPGA-based real-time quadrotor flight controller,” Robotics and Autonomous Systems, manuscript under review, Manuscript No. ROBOT-D-26-03025, submitted Oct. 13, 2026.
[4] Ravindra Singh Raghuvanshi, Kuldeep Sharma, Sambit Dhar, Ashok Kumar, Vineet Yadav & P. K. Sanki, “Detecting conventional and AI-generated tampering in financial documents: A comparative review of detection, localisation, and explainability,” Discover Artificial Intelligence, Submission ID: 2d13d98e-294f-4ff9-bb1b-601b99d4f599, submitted Oct. 26, 2026.
[5] Sambit Dhar, Kuldeep Sharma, Ashok Kumar, Ravindra Singh Raghuvanshi, Vineet Yadav & P. K. Sanki, “Damage-mechanism–driven NDE and integrity decisions across asset classes: A critical review of inspection reliability, regulatory boundaries, and AI governance,” Discover Applied Sciences, Submission ID: ac7a7859-588a-41bc-8161-b4146a375b52, submitted Oct. 15, 2026.
[6] Ravindra Singh Raghuvanshi, Kuldeep Sharma, Sambit Dhar, Ashok Kumar, Vineet Yadav & P. K. Sanki, "From indications to inspection ecosystems: A century of NDE evolution in evidence, automation, and decision authority,” Discover Applied Sciences, Submission ID: 43ffbde7-b25f-435a-97e4-eac49c9903d5, submitted Oct. 15, 2026.
[7] S. Lisa, P. Singh, A. Varma, B. D. Chander, S. Paul, P. K. Sanki, M. B. Kulkarni, and N. Mandal, “Bridging Nanobiosensing and Clinical Artificial Intelligence for Next-Generation Smart Healthcare: An Integrated Framework from Biological Signal Acquisition to Clinical Decision Support and Total Product Lifecycle Governance,” manuscript under consideration.
[8] Sanjana Billakurthi, Syed Abdul Jameer, P. K. Sanki & Pudi Dhileswararao, “Netlist-Driven Structured Data-Path Placement for Power-Integrity Improvement in VLSI Physical Design: A Case Study,” submitted to ACM Transactions on Design Automation of Electronic Systems (TODAES), Manuscript ID: TODAES-2026-P-4039, under consideration.
[9] A. Chakraborty, S. Marik, S. Chakraborty, S. Dhar, and P. K. Sanki, “Verifying AI agent repairs when monitoring fails: Evidence beats the agent's self-reports and a third reviewer changed nothing,” Artificial Intelligence Review, submitted for publication, version 1.0, Submission ID: 8fa20179-f4cc-4e3f-99b0-2837e9cca22e, submitted Oct. 28, 2026.
[10] A. Chakraborty, S. Dhar, S. Marik, S. Chakraborty, and P. K. Sanki, “In-range accuracy selects the worst-calibrated extrapolating model: Tail-latency forecasts for post-quantum evidence verification,” Discover Artificial Intelligence, submitted for publication, Collection: “AI-Driven Cyber Resilience, Explainable Analytics, and Post-Quantum Intelligence for Complex Systems,” version 1.0, Submission ID: 3ee9893e-c18e-45f0-b79b-b8e885328735, submitted Oct. 28, 2026.
[11] A. Chakraborty, S. Marik, S. Chakraborty, S. Dhar, and P. K. Sanki, “Verifying AI Agent Repairs When Monitoring Fails: Evidence Beats the Agent's Self-Reports and a Third Reviewer Changed Nothing,” Artificial Intelligence Review, Submission ID: 8fa20179-f4cc-4e3f-99b0-2837e9cca22e, submitted for publication, Oct. 29, 2026.
[12] Sam K. Jacob, Soham Kumar, S. Sreelakshmi, S. Prathipkumar, Jyotika Nanda, Gopal K. Pradhan, Pradyut Kumar Sanki & Pranab Mandal, “Microstructure Controlled PDMS–BaTiO₃–MWCNT Composite for High Performance Hybrid Nanogenerators,” submitted to Bulletin of Materials Science, Manuscript ID: EMID:d83066d5e4f3cfe0, under consideration.
[13] P. Das, S. Dhar, and P. K. Sanki, “Autonomous IoT Intelligence Framework for Underground Utility Monitoring and Infrastructure Risk Prediction,” Discover Internet of Things, submitted for publication, 2026, Collection: “Adaptive and Dynamic Intelligence for the Internet of Things,” Submission ID: e3c8a89e-e792-4a05-ac43-e74953649bf7, Oct. 29, 2026.
[14] A. Chakraborty, S. Dhar, S. Marik, S. Chakraborty, and P. K. Sanki, “In-Range Accuracy Selects the Worst-Calibrated Extrapolating Model: Tail-Latency Forecasts for Post-Quantum Evidence Verification,” Discover Artificial Intelligence, Submission ID: 3ee9893e-c18e-45f0-b79b-b8e885328735, Oct. 31, 2026.
Published:
[1] R. Maharajan, S. K. Ram, P. K. Sanki, B. Karra, B. S. S. Tejesh, S. Mareedu, and R. Dakupati, “A sliding window and Fourier decomposition method based 1D-CNN framework for motor imagery EEG classification,” Frontiers in Computational Neuroscience, Accepted, Oct. 30, 2026. IF: 3.3/Q1.
[2] R. Dakupati, P. N. S. B. S. V. Prasad V., S. A. Hussain, and P. K. Sanki, “Non-invasive cholesterol assessment: Current methods and future perspectives,” Analytical Methods, vol. 18, pp. 2158–2187, Mar. 2026. [Online]. Available: https://doi.org/10.1039/D6AY00245E. IF: 2.7./Q2
[3] A. Kamble, K. Parashar, E. Ronnie, V. Bandodkar, S. Dharmadhikary, V. Anand, P. K. Sanki, M. X. Wu, and B. Jana, “Interpretable deep learning for enhanced multi-class classification of gastrointestinal endoscopic images,” Biomedical Physics & Engineering Express, vol. 12, no. 1, Art. no. 015043, Jan. 2026. [Online]. Available: https://doi.org/10.1088/2057-1976/ae2b72. IF: 1.6/Q3.
[4] P. N. S. B. S. V. Prasad V., S. A. Hussain, A. K. Singha, B. Jana, P. Mandal, and P. K. Sanki, “An advanced IoT-based non-invasive in vivo blood glucose estimation exploiting photoacoustic spectroscopy with SDNN architecture,” Sensors and Actuators A: Physical, vol. 387, Art. no. 116391, 2025. [Online]. Available: https://doi.org/10.1016/j.sna.2025.116391. IF: 4.1/Q1.
[5] S. A. Hussain, P. N. S. B. S. V. Prasad V., and P. K. Sanki, “Efficient in situ learning of hybrid LIF neurons using WTA mechanism for high-speed low-power neuromorphic systems,” Physica Scripta, vol. 99, no. 10, 2024. [Online]. Available: https://doi.org/10.1088/1402-4896/ad79c5. IF: 2.6/Q2.
[6] P. Thotakura, P. N. S. B. S. V. Prasad V., and P. K. Sanki, “Design and development of IoT-based embedded system for continuous monitoring of vital signs,” Journal of Electronic Materials, 2024. [Online]. Available: https://doi.org/10.1007/s11664-024-11368-3. IF: 2.2/Q2.
[7] P. M. Neelamraju, K. Gundepudi, P. K. Sanki, K. B. Busi, T. K. Mistri, S. Sangaraju, G. K. Dalapati, K. K. Ghosh, S. Ghosh, W. B. Ball, and S. Chakraborty, “Potential applications for photoacoustic imaging using functional nanoparticles: A comprehensive overview,” Heliyon, Aug. 15, 2024. [Online]. Available: https://doi.org/10.1016/j.heliyon.2024.e34654. IF: 4.0/Q1.
[8] V. Yamini, S. A. Hussain, G. C. Sekhar, P. A. Kumar, P. Lehitha, B. S. V. Teja, S. Samanta, and P. K. Sanki, “An SoC system for real-time edge detection,” Journal of Electronic Materials, vol. 53, pp. 6395–6402, May 2024. [Online]. Available: https://doi.org/10.1007/s11664-024-11255-x. IF: 2.2/Q2.
[9] S. A. Hussain, P. N. S. B. S. V. Prasad V., and P. K. Sanki, “Synergistic m_GDI based ALU design using CMOS and VTEAM memristor model for low power high-speed applications,” Journal of Electronic Materials, 2024. [Online]. Available: https://doi.org/10.1007/s11664-024-11125-6. IF: 2.2/Q2.
[10] S. A. Hussain, P. N. S. B. S. V. Prasad V., R. Kodali, R. Lokesh, and P. K. Sanki, “Predicting and categorizing air pressure system failures in Scania trucks using machine learning,” Journal of Electronic Materials, 2024. [Online]. Available: https://doi.org/10.1007/s11664-024-11115-8. IF: 2.2/Q2.
[11] S. A. Hussain, P. N. S. B. S. V. Prasad V., S. Khadkei, P. Gupta, and P. K. Sanki, “Innovative web application revolutionizing disease detection empowering users and ensuring accurate diagnoses,” Journal of Electronic Materials, 2024. [Online]. Available: https://doi.org/10.1007/s11664-024-11092-y. IF: 2.2/Q2.
[12] S. A. Hussain, P. N. S. B. S. V. Prasad V., K. S. S. Dhanush, K. Abhinav E., C. Vaishnavi, K. Sujith S., S. Samanta, and P. K. Sanki, “Leaky integrate and fire neuron model based SNN latency estimation using FNS,” Journal of Electronic Materials, vol. 53, pp. 3560–3568, 2024. [Online]. Available: https://doi.org/10.1007/s11664-024-11078-w. IF: 2.2/Q2.
[13] S. A. Hussain, P. N. S. B. S. V. Prasad V., N. Chalicham, L. Garine, S. Chunduru, V. N. V. S. L. Nikitha, and P. K. Sanki, “Low-light image restoration using convolutional neural network,” Journal of Electronic Materials, 2024. [Online]. Available: https://doi.org/10.1007/s11664-024-11079-9. IF: 2.2/Q2.
[14] P. N. S. B. S. V. Prasad V., S. A. Hussain, M. Himansh, B. Jana, P. Mandal, and P. K. Sanki, “Augmenting authenticity for non-invasive in vivo detection of random blood glucose with photoacoustic spectroscopy using kernel-based ridge regression,” Scientific Reports, vol. 14, Art. no. 8352, 2024. [Online]. Available: https://doi.org/10.1038/s41598-024-53691-z. IF: 4.996/Q1.
[15] N. Katragadda, S. Kumar, S. Jacob, P. K. Sanki, J. Nanda, G. Pradhan, and P. Mandal, “Carbon nanotube assisted device performance improvement in a flexible piezoceramic-polymer hybrid nanogenerator,” ACS Applied Electronic Materials, vol. 5, no. 12, pp. 6938–6946, 2023. [Online]. Available: https://doi.org/10.1021/acsaelm.3c01341. IF: 4.494/Q1.
[16] B. Vasudeva, S. A. Hussain, P. N. S. B. S. V. Prasad V., and P. K. Sanki, “Design of an efficient QCA based median filter with energy dissipation analysis,” The Journal of Supercomputing, 2022. [Online]. Available: https://doi.org/10.1007/s11227-022-04780-1. IF: 2.6/Q2.
[17] B. Vasudeva, B. Srinu, and P. K. Sanki, “VLSI architecture of decision based adaptive denoising filter for removing salt & pepper noise,” ECS Transactions, vol. 107, no. 1, Art. no. 18423, 2022. [Online]. Available: https://doi.org/10.1149/10701.18423ecst. IF: 0.521/Q2; Citations: 5.
[18] B. Vasudeva, N. Shakamuri, B. Venkata, and P. K. Sanki, “High performance 2ⁿ:1:2ⁿ reversible MUX/DEMUX architecture for quantum dot cellular automata,” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Art. no. e3014, 2022. [Online]. Available: https://doi.org/10.1002/jnm.3014. IF: 1.296/Q2; Citations: 3.
[19] B. Vasudeva and P. K. Sanki, “VLSI implementation of high throughput parallel pipeline median finder for IoT applications,” Sādhanā, vol. 45, Art. no. 75, 2020. [Online]. Available: https://doi.org/10.1007/s12046-020-1292-9. IF: 1.188/Q2; Citations: 5.
[20] B. Vasudeva and P. K. Sanki, “A new fast & efficient 2-D median filter architecture,” Sādhanā, vol. 45, Art. no. 192, 2020. [Online]. Available: https://doi.org/10.1007/s12046-020-01431-0. IF: 1.188/Q2; Citations: 5.
[21] P. P. Pai, P. K. Sanki, S. K. Sahoo, S. Bhattacharya, A. De, and S. Banerjee, “Cloud computing based non-invasive glucose monitoring for diabetic care,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 2, pp. 663–676, Feb. 2018. [Online]. Available: https://doi.org/10.1109/TCSI.2017.2724012. IF: 4.21/Q1; Citations: 55.
[22] P. P. Pai, P. K. Sanki, S. Sarangi, and S. Banerjee, “Modelling, verification, and calibration of a photoacoustics based continuous non-invasive blood glucose monitoring system,” Review of Scientific Instruments, vol. 86, Art. no. 064901, 2015. [Online]. Available: https://doi.org/10.1063/1.4922416. IF: 1.843/Q2; Citations: 34.