Journal Papers

Priyanka BG, Plava Kattamuri, BVVSN Prabhakar Rao, Memristor Based Image Fusion Architecture Using Iterative Kernel PCA"(submitted to International Journal of Information Technology)

Dheerendranath Battalapalli, BVVSN Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Rajagopalan.V,  “Fractal Dimension: Analyzing its Potential as a Neuroimaging Biomarker for Brain Tumor Diagnosis” (submitted to Journal of Neuroscience Methods)

Souvik Kundu, Priyanka B. Ganganaik, Jeffry Louis, Hemanth Chalamalasetty, and BVVSN Prabhakar Rao. "Memristors Enabled Computing Correlation Parameter In-Memory System: A Potential Alternative to Von Neumann Architecture." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30, no. 6 (2022): 755-768.  

Malayappan, Balasubramanian, U. Poorna Lakshmi, BVVSN Prabhakar Rao, Kannan Ramaswamy, and Prasant Kumar Pattnaik. "Sensing Techniques and Interrogation Methods in Optical MEMS Accelerometers: A Review." IEEE Sensors Journal (2022).

Dheerendranath Battalapalli, BVVSN Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Rajagopalan.V “An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices”  BMC Medical Imaging , 22, Article Number 89 (2022).

Aditya Viswakumar, Priyanka B Ganganaik, P. Michael Preetham Raj, Prof. BVVSN Prabhakar Rao, Dr. Souvik Kundu, "Memristor-Based In-Memory Processor for High Precision Semantic Text Classification", Computers and Electrical Engineering Journal (Elsevier) 92 (2021) 107160

Balasubramanian M, Poornalakshmi U, Kannan Ramaswamy, BVVSN Prabhakara Rao and Prasant Kumar Pattnaik, “Enhancing Functionality of Free-Space and Guided-Wave Optical MEMS Devices by Integration with Photonic Circuits”, Optik, Vol.243, 166955, October 2021. 

Priyanka B Ganganaik, G. Abhijith, P Michael Preetam Raj, H. Renuka, Prof. BVVSN Prabhakar Rao,  Dr. Souvik Kundu, "Realization of Memristive State Machine for Smart Edge Detector Applications", IETE Journal of Research (Taylor & Francis), 2020

Mary Salve, Aurnab Mandal, Khairunnisa Amreen, BVVSN Prabhakar Rao, Prasant Kumar Pattnaik, Sanket Goel, “Portable 3D printed Electrochemiluminescence Platform with Pencil Graphite Electrodes for Point of Care multiplexed analysis with Smartphone based Read-out”, IEEE Transactions on Instrumentation and Measurement, 70 (2020)

Bharathwaj Suresh, Pavan Kumar Reddy Boppidi, B V V S N Prabhakar Rao, Souri Banerjee and Souvik Kundu Realizing spike-timing dependent plasticity learning rule in Pt/Cu:ZnO/Nb:STO memristors for implementing single spike based denoising autoencoder;; Journal of Micromechanics and Microengineering, 29 (2019) 085006 (9pp)

P Joshna, S R Gollu, P Michael Preetam Raj, B V V S N Prabhakar Rao, Parikshit Sahatiya and Souvik Kundu,, Plasmonic Ag nanoparticles arbitrated enhanced photodetection in p-NiO/n-rGO heterojunction for future self-powered UV photodetectors, Nanotechnology 30 (2019) 365201 (11pp)

Manu Gupta, Dr.Venkateswaran Rajagopalan, Prof. B.V.V.S.N.Prabhakar Rao, "Glioma grade classification using wavelet transform-local binary pattern based statistical texture features and geometric measures extracted from MRI," Journal of Experimental & Theoretical Artificial Intelligence (Taylor & Francis), Vol. 31:1, (2018) pp. 57-76.      

Paramkusham, Spandana, Kunda MM Rao, and BVVSN Prabhakar Rao. "Comparison of rotation invariant local frequency, LBP and SFTA methods for breast abnormality classification." International Journal of Signal and Imaging Systems Engineering, vol.11, no. 3, (2018) pp: 136-150, 

Manu Gupta, Dr.Venkateswaran Rajagopalan, Dr.Erik P Pioro, Prof. B.V.V.S.N. Prabhakar  Rao, " Volumetric analysis of MR images for glioma classification and their effect on brain tissues" Signal, Image and Video Processing (Springer), 2017.

  Madhuri Bayya, Dr. BVVSN Prabhakar Rao, Rao, UM, Dr. N. Moorthy Muthukrishnan, Battery State Estimation using AC analysis, Elsevier Energy Procedia, Vol.117, (2017), pp. No. 739-744.  

P. Spandana, KMM Rao, BVVSN Prabhakar Rao, "Comparison of Rotation Invariant Local Frequency,

LBP and SFTA methods for Breast abnormality classification" International Journal of signal and imaging

systems Engineering, Inderscience Publishers, 2017 

Conference Papers

Manu Gupta, Prof. B.V.V.S.N.Prabhakar Rao, Dr.Venkateswaran Rajagopalan, "Brain Tumor Detection in conventional MR Images based on Statistical Texture and Morphological Features",  15th  IEEE International Conference on Information Technology (ICIT) 2016, IIIT Bhubaneswar, India, December 22-24 (2016).

Rahul Dubey, Sasikal Nath, K Harsha, D. Rama Si Vinay, Madhuri Bayya, Dr. BVSSN Prabhakara Rao, U.M.Rao, Dr.N.Moorthy Muthukrishnan, “Smart Home power Management”, IEEE HTC 2016, Dec 21-23, (2016), Agra, India.

Spandana Paramkusham, Mmrao Kunda and Prabhakar Rao B.V.V.S.N “Novel technique for the detection of abnormalities in Mammograms using texture and geometric features” In Microwave, Optical and Communication Engineering (ICMOCE), 2015 International Conference on  Dec 18 (2015) (pp. 150-153). IEEE.

Spandana Paramkusham, Shivakshit Patri, Mmrao Kunda and Prabhakar Rao B.V.V.S.N, “A New Features Extraction Method based on Polynomial Regression for the assessment of Breast Lesion Contours”, IEEE Int. Conf. on Industrial Instrumentation and Control, Pune, India, May, (2015(

Manu Gupta, B.V.V.S.N.Prabhakar Rao, Venkateswaran Rajagopalan, Abhijit Das, C.Kesavadas “Volumetric Segmentation of Brain Tumor Based on Intensity Features of Multimodality Magnetic Resonance Imaging”, IEEE Int. Conf. on Computers, communication and control, Indore, India, September (2015)

Book Chapter(s) 

Priyanka B.Ganganaik, Omkar Mukul Gowaikar, V. Jeffry Louis, Rajesh K. Tripathy, Venkateswaran Rajagopalan, BVVSN Prabhakar Rao, and Souvik Kundu. "Implementation of Binary Particle Swarm Optimization for Image Thresholding using Memristor Crossbar Array." In Advances in Electrical and Computer Technologies, pp. 915-936. Springer, Singapore, 2022.

Dheerendranath B, BVVSN Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Venkateswaran Rajagopalan, “A review on Brain Tumor Segmentation Algorithms using recent deep neural network architectures and a gentle introduction to deep neural network concepts”, 2020 ( in Book “Microelectronics and Signal Processing”, Taylor & Francis)

Manu Gupta, Dr.Venkateswaran Rajagopalan, Prof. B.V.V.S.N.Prabhakar Rao, "Non-invasive Biomarker," Higher Education ,Times of India, pp.161-162, Feb 2017.