·  Block Chain Enabled Federated Learning for Realtime Energy Prediction using Stakelberg-Shapely-Based Privacy Conscious Coalition Strategies in 2025 World Conference on Cutting-Edge Science and Technology (WCCEST) Feb 2026. (Co-authors:  Ravi Khatri, Prateek Pandey)

·  “Deep Learning for Massive MIMO: AI-Driven Channel Estimation with Reduced Pilot Usage”, AI in Sustainable Energy and Environment (AISES), Sep 2025. (Co-authors:  Rishika Chauhan, S. Sharma, Pankaj Dumka)

·   “Performance Prediction of Conventional and Modified Solar Stills Using Levenberg Marquardt Algorithm-Based Artificial Neural Network Model: An Experimental and Stochastic Evaluation”, Journal of Solar Energy Research, Volume 9, Number 3, pp 1966-1980, 2024. DOI: 10.22059/jser.2024.380006.1449(Co-authors:  Rishika Chauhan, S. Sharma)

·     Rahul Pachauri, “Spectral Variability in Fixed Windows using Fractional Fourier Transform: Application in Power Spectral Density Estimation”, Indian Journal of Signal Processing, volume 2, pp. 1-9, Aug 2023

·  “Modeling and Simulation of various detection algorithms in uplink Massive MIMO systems: A Comparative Analysis”, in Advances in Engineering Software 174, 103318, Dec. 2022. (Co-authors:  Rishika Chauhan, S. Sharma)

·  Rahul Pachauri, “Separation of overlapping chirp signals using STFRFT” in 7th International Conference on Signal Processing and Communication (ICSC), 2021.

·   “Deep Neural Network-Based Channel Estimation in OFDM Systems”, International Journal of Engineering Research & Technology (IJERT) Volume 10, Issue 11, Nov. 2021. (Co-authors:  Rishika Chauhan, S. Sharma)

·    “Deep Neural Network-Based Prediction of the COVID-19 Spread in India” in Research and Applications: Emerging Technologies, Volume 3 Issue 1, March 2021. DOI: http://doi.org/10.5281/zenodo.4574861. (Co-authors:  Rishika Chauhan, S. Sharma)

·     “Experimental and theoretical evaluation of thermo physical properties for moist air within solar still by using different algorithms of artificial neural network”  in Journal of Energy Storage vol 30, Article no. 101408, Aug. 2020. doi.org/10.1016/j.est.2020.101408, Impact Facto 3.762

(Co-authors: Rishika Chauhan,  Shefali Sharma, P. Dumka, D. R.Mishra)

·  “An Intelligent low power consumption routing protocol to extend the lifetime of wireless sensor network based of fuzzy C-means++ clustering algorithm”, Journal intelligent fuzzy systems, vol 38, no. 5, pp 6561-6570, May 2020. DOI: 10.3233/JIFS-179736. (Co-authors:  V. S. Chandravanshi, R. Tripathi)

·     “An Energy Efficient Routing Protocol Based On New Variable Data Packet (VDP) Algorithm for Wireless Sensor Networks”, Recent Patent on Computer Science, vol 13, no. 3, pp 353-361, Feb 2020, DOI: 10.2174/2213275912666190204125259 (Co-authors: V. S. Chandravanshi, R. Tripathi)

·        “An intelligent energy efficient clustering technique for multiple base stations positioning in a wireless sensor network”, Journal of Intelligent & Fuzzy Systems, vol 36, no. 3,  pp. 2409-2418, March 2019 DOI:10.3233/JIFS-169952. (Co-authors:  V. S. Chandravanshi, R. Tripathi)

·     “Image Encryption Method Using New Concept of Compound Blood Transfusion Rule with Multiple Chaotic Maps”, Current Medical Imaging, vol. 15, No. 1, Jan 2019, doi: 10.2174/1573405615666190101110751, Impact Factor: 0.533 (Co-authors: Ranu Gupta, A.K. Singh)

·     “PAPR Reduction in OFDM using Combinational Approaches”, in JUET Research Journal of Science & Technology, Volume 5, Issue 1, January 2019 (Co-author:  Manish K. Patidar)

·     “An Effective Approach of Secured Medical Image Transmission using Encryption Method” in Molecular & Cellular Biomechanics vol. 15, no. 2, pp. 63-83, Nov 2018 doi: 10.3970/mcb.2018.00114, Impact Factor-0.62  (Co-authors: Ranu Gupta, A.K. Singh)

·    “Optimum Number of Clusters in Randomly Distributed Wireless Sensor Networks”, International Journal of Engineering & Technology, Vol 7(2.16) pp.61-64, March 2018. DOI: 10.14419/ijet.v7i2.16.11417 (Co-authors:  V. S. Chandravanshi, R. Tripathi)

·     “Linear despeckle approach for ultrasound carotid artery images in Journal of Intelligent and Fuzzy systems”, vol. 35, no. 2, pp. 1807- 1816, 2018 doi: 10.3233/JIFS-169715, Impact Factor-1.426 (Co-authors: Ranu Gupta, A.K. Singh)

·    “Despeckling of Ultrasound Images using Modified Local statistics mean variance filter in Computer Modeling in Engineering and Sciences  vol. 114, no.1, pp.19-32, 2018  doi:10.3970/cmes.2018.114.019. (Co-authors: Ranu Gupta, A.K. Singh)

·     “An efficient way of medical image encryption using Cat map and chaotic logistic function” in  International Journal of Computer Science and Information Security (IJCSIS) vol 15 issue 11 2017. (Co-authors: Ranu Gupta, A.K. Singh)

·  “Linear de-speckling approach for ultrasound carotid artery images” in international Conference on Signal Processing (ICSP 2016). (Co-authors: Ranu Gupta, A.K. Singh)

·       “Envelope Fluctuation Reduction for WiMAX MIMO-OFDM Signals Using Adaptive Network Fuzzy Inference Systems” in Information Systems Design and Intelligent Applications: Proceedings of Third International Conference INDIA 2016. (Co-authors: Khushboo Pachori, Amit Mishra, Narendra Singh)

·       “Fixed windows in fractional Fourier domain” in International Journal of Image, Graphics and Signal Processing vol 6 issue 2, 2014.

(Co-authors: Rajiv Saxena, Sanjeev N Sharma)

·   “Studies on Z‐Window Based FIR Filters” in International Scholarly Research Notices, Hindawi Publication 2013. (Co-authors: Rajiv Saxena, Sanjeev N Sharma)

·  “Filtering in Time-Frequency Domain using STFrFT” in International Journal of Computer Applications vol 69 issue 25, 2013. (Co-authors: Pragati Rana, Vaibhav Mishra).

·   “Design of FIR filters with better performance using Z-window” in 2011 International Conference on Communications, Computing and Control Applications (CCCA) 2011. (Co-authors: Rajiv Saxena, Sanjeev N Sharma).