Mittapalli Venkata Nageswara Rao

@gmrit.edu.in

Associate Dean(Academics) /Department of ECE
GMR Institute of Technology-Rajam

Mittapalli Venkata Nageswara Rao


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https://researchid.co/mvnr1968

RESEARCH INTERESTS

VLSI
Signal Processing
30

Scopus Publications

91

Scholar Citations

6

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Ensemble quantum deep learning for segmentation and classification of central nervous system demyelinating diseases
    T.V.V. Satyanarayana, Tummala Aravinda Babu, Karna Vishnu Vardhana Reddy, D. Venkat Reddy, M.V. Nageswara Rao
    Biomedical Signal Processing and Control, 2026
  • Frequency Domain and Cross-Frame Connections for Multi-Object Tracking of Small Targets in Satellite Imagery
    M. V. Nageswara Rao, T. V. V. Satyanarayana, Tummala Aravinda Babu, Karna Vishnu Vardhana Reddy, D. Venkat Reddy
    Transactions on Emerging Telecommunications Technologies, 2026
    Satellite‐based video surveillance, sometimes known as “gazing,” is extremely useful for viewing, evaluating, and dynamically tracking developments on Earth. However, the tiny size and density of objects, overlapping targets, and unclear surroundings with variable illumination and complex backdrops make multi‐object tracking in satellite movies particularly difficult. Limitations in bandwidth and computational capacity made accurate tracking and real‐time processing increasingly challenging. Applications, including disaster response, traffic monitoring, defense, and security operations, depend on overcoming these obstacles. This work offers a novel framework to address these difficulties by merging sophisticated cross‐frame connection techniques with frequency domain analysis using wavelet transform analysis. By separating high‐frequency components and reducing noise, the wavelet transform improves the identification of small targets and makes it possible to recover fine‐grained spatial and frequency data that are essential for reliable tracking. The system uses motion models and data association techniques to guarantee trajectory correctness and consistency, and it integrates cross‐frame connections to create temporal continuity and preserve target identities over successive frames. The experimental results show significant increases in tracking performance, outperforming state‐of‐the‐art methods in terms of multiple object tracking accuracy (MOTA), multiple object tracking precision (MOTP), and high tracking accuracy. These results demonstrate this proposed model's resilience and effectiveness in accurately identifying and following small targets in challenging satellite imagery settings. The accuracy achieved by the proposed method for the VISO, SATMTB, and Skysat‐1 datasets is 96.82%, 95.26%, and 95.90%, respectively.
  • A lightweight FPGA accelerator for onboard processing of hyperspectral anomaly detection based on optimized TinyYOLOv3 model
    D. Venkat Reddy, M.V. Nageswara Rao, T.V.V. Satyanarayana, T. Aravinda Babu, Karna Vishnu Vardhana Reddy
    Integration, 2025
  • FEMT-FL: A novel flexible energy management technique using federated learning for energy management in IoT-based distributed green computing systems
    Jaikumar R, Arun Sekar Rajasekaran, M.V. Nageswara Rao, Anand Nayyar
    Computer Standards and Interfaces, 2025
  • An Efficient Target Recognition Model Based on Radar–Vision Fusion for Road Traffic Safety
    Karna Vishnu Vardhana Reddy, D. Venkat Reddy, M. V. Nageswara Rao, T. V. V. Satyanarayana, T. Aravinda Babu
    Transactions on Emerging Telecommunications Technologies, 2025
    It is difficult for automated driving systems, or advanced driver assistance systems, to recognize and comprehend their surroundings. This paper proposes a transformer model‐based approach for road object recognition using sensor fusion. Initially, data from the camera and millimeter‐wave (mmWave) radar are simultaneously acquired and pre‐processed. Since direct point cloud‐to‐image fusion is difficult for fusion object detection models, the radar point clouds are then circularly projected onto a 2‐dimensional (2D) plane. Then, both the camera image and radar projection image enter different branches of the feature extraction model, utilizing a dual‐path vision transformer (DualP‐ViT) to complete feature extraction and fusion. The items are recognized after going through several layers of encoders and decoders. An encoder decoder‐based vision transformer (EDViT) provides accurate measures of distance and velocity. Also, the vision sensors (cameras) produce high‐resolution images with rich visual information. The proposed approach is implemented on the nuScenes dataset, and the performance is evaluated based on object detection metrics. The mean Average Precision (mAP), NuScenes Detection Score (NDS), Planning KL‐Divergence (PKL), accuracy, precision, recall, f1‐score, and latency performance obtained with the proposed approach is 59, 68, 0.6, 80, 79, 80, 78.9, and 10 ms. In the proposed approach, the robustness and accuracy of object detection is improved.
  • Joint TL-SCL-BPPC Decoder for the Double Deep Polar Codes
    Tummala Aravinda Babu, Karna Vishnu Vardhana Reddy, D. Venkat Reddy, M. V. Nageswara Rao, T. V. V. Satyanarayana
    Wireless Personal Communications, 2025
  • An Efficient Classification of Tomato Plant Diseases Using Deep Learning
    Durga Venkata Sai Vysyaraju, Dhanunjaya Pamu, Siva Kumar Patheda, Ravindra Babu Rayapati, Jaya Ram Suru, M. V. Nageswara Rao
    Lecture Notes in Networks and Systems, 2025
  • Efficient Non-Local Similarity-based Image Dehazing: A Pixel-Level Approach for Enhanced Performance and Robustness
    A. Swetha Rani, K Venkata Lakshmi Keerthi, M. V. Nageswara Rao, G.V. Pradeep Kumar, V. V. Satyanarayana Tallapragada, Kuruma Purnima
    8th International Conference on Electronics Communication and Aerospace Technology Iceca 2024 Proceedings, 2024
    This research study proposes an efficient approach for image dehazing using non-local similarity-based methods. Dehazing has roots in many applications, including image enhancement of underwater imagery, satellite aerial images, remote sensing imagery, and many others. The proposed method considers the challenges of single-image dehazing. The method involves the identification and recognition of haze lines. After identifying haze lines, a regularization process is introduced to consider the variance of the estimated haze lines. This regularization ensures that only the pixels adhering to the model's assumptions contribute to the reconstruction process. The proposed algorithm works at the pixel level rather than at the patch or regions of patch-level techniques. This results in improved speed, robustness, and reduced sensitivity to parameters like patch size and content. Performance analysis was done using several focus measures. Experimental results demonstrate the effectiveness of the proposed method. The simulation results prove that the proposed method outperforms the state-of-the-art methods.
  • Smart IoT-Enabled Deep Learning for Diagnosing Maize Leaf Diseases
    G. Ram Sundar, M. V. Nageswara Rao, R. Deepa, S. Selvanayaki, Vaanathi S, K. Bala Karthik
    International Conference on Intelligent Algorithms for Computational Intelligence Systems Iacis 2024, 2024
    As a technology that will help alter agriculture, Convolutional Neural Networks (CNN) and the Internet of Things (IoT) are being integrated more and more by researchers. With the use of IoT, farmers will be able to make decisions and take action based on data about field conditions obtained from sensor nodes somewhat than only on their experience, which will reduce the amount of resource waste. However, CNN augments monitoring systems with duties like crop disease early detection or estimating the amount of useable means and supplies (water, manures) essential to rise yield. In order to observe environmental and physical characteristics, enable initial disease identification, and support precision agriculture, this study presents an IoT and CNN-based technology platform. The pretrained model used in this platform is the Inception v3 since it largely concentrates on using less processing power by altering the earlier Inception architectures. The IoT and CNN-based technology platform successfully identified early signs of crop diseases with an accuracy rate of 92%, compared to 75% with traditional methods. This improvement significantly reduces the time required for disease diagnosis and intervention. The study demonstrates that the IoT and CNN-based technology platform not only enhances early detection of crop diseases but also optimizes resource usage and improves yield prediction accuracy.
  • Wide Band Circularly Polarized Slot Antenna with Circular Stub for C-Band Applications
    International Journal of Microwave and Optical Technology, 2023
  • AI-Based Learning Techniques for Bladder Cancer Detection
    M.V.Nageswara Rao, Laith Jasim, Anil Pratap Singh, X.Mercilin Raajini, Jothi E
    2023 4th International Conference on Computation Automation and Knowledge Management Iccakm 2023, 2023
  • Design and Development of Efficient SRAM Cell Based on FinFET for Low Power Memory Applications
    M. V. Nageswara Rao, Mamidipaka Hema, Ramakrishna Raghutu, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Ilhami Colak, Baseem Khan
    Journal of Electrical and Computer Engineering, 2023
  • Compression Techniques for Low Power Hardware Accelerator Design: Case Studies
    Govinda Rao Locharla, Pogiri Revathi, M. V. Nageswara Rao
    Lecture Notes in Electrical Engineering, 2022
  • Design of UWB Rectangular Microstrip Antenna with Defected Ground Structure to Detect Breast Cancer
    A. Sudhakar, M. V. Nageswara Rao, Telagarapu Prabhakar
    Lecture Notes on Data Engineering and Communications Technologies, 2022
  • Design of Arrow Shaped Microstrip Patch Antenna for X and Ku- Band Applications
    Yuvaraj .D, Nageswara Rao M .V, Shanmuga priya P, Naveneetha krishanan S
    Ecs Transactions, 2022
  • Image compression based on adaptive image thresholding by maximising Shannon or fuzzy entropy using teaching learning based optimisation
    Karri Chiranjeevi, Umaranjan Jena, M.V. Nageswara Rao
    International Journal of Advanced Intelligence Paradigms, 2021
  • Generating realistic blood-cell images using cycle-consistent generative adversial networks
    M. V. Nageswara Rao* and
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Asic implementation of 12-bit radix-8 booth multiplier
    Uriti Geetalakshmi, M.V.Nageswara Rao
    International Journal of Recent Technology and Engineering, 2019
  • Telugu text extraction and recognition using convolutional and recurrent neural networks
    International Journal of Engineering and Advanced Technology, 2019
  • Design and implementation of speech to text conversion on raspberry Pi
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • A hybrid VLSI architecture of Manchester encoder for RFID applications
    International Journal of Mechanical Engineering and Technology, 2018
  • Implementation of humon with human intelligence
    International Journal of Mechanical Engineering and Technology, 2018
  • A hybrid companding transform technique for PAPR reduction of OFDM signals
    D. Durga Prasad, M. V. Nageswara Rao
    Incemic 2015 13th International Conference on Electromagnetic Interference and Compatibility Proceedings, 2017
  • Removing of high density salt and pepper noise using fuzzy median filter
    B. Sravani, M. V. Nageswara Rao
    2014 International Conference on High Performance Computing and Applications Ichpca 2014, 2015
  • Remote firmware update of networked data loggers
    International Journal of Applied Engineering Research, 2015
  • A novel traffic-tracking system using morphological and blob analysis
    Prabhakar Telagarapu, M. V. Nageswara Rao, Gulivindala Suresh
    2012 International Conference on Computing Communication and Applications Iccca 2012, 2012
  • Design of discrete frequency coded sequences using PSOCM for target detection with CAF
    Radioengineering, 2011
  • Design of polyphase sequences using PSOCM for target detection with cross ambiguity function
    International Journal on Communications Antenna and Propagation, 2011
  • S-transform based pattern classifier for non-stationary signals
    B. Biswal, M. Biswal, M. V. Nageswara Rao
    Proceedings of the 2010 Annual IEEE India Conference Green Energy Computing and Communication Indicon 2010, 2010
  • TT-ACO based power signal classifier
    B. Biswal, M.K. Biswal, P.K. Dash, M.V Nageswara Rao
    2009 World Congress on Nature and Biologically Inspired Computing Nabic 2009 Proceedings, 2009

RECENT SCHOLAR PUBLICATIONS

  • Compression Techniques for Low Power Hardware Accelerator Design: Case Studies
    GR Locharla, P Revathi, MVN Rao
    Advances in Signal Processing and Communication Engineering: Select … , 2022
    2022
  • Design and Implementation of Speech to Text Conversion on Raspberry Pi
    MVNR A. Pardha Saradhi , A. Sai Kiran, A. Dileep Kumar, B. Srinivas
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
  • Telugu text extraction and recognition using convolutional and recurrent neural networks
    MVNR A. Ram Bharadwaj, A. Venugopal, Ch. Surya Kiran
    International Journal of Engineering and Advanced Technology 8 (5), 1449-51 , 2019
    2019
    Citations: 3
  • ASIC implementation of 12-bit radix-8 booth multiplier
    MVNR U.Geetalakshmi
    International Journal of Engineering and Advanced Technology 8 (2), 4013-16 , 2019
    2019
    Citations: 4
  • Generating Realistic Blood-Cell Images using Cycle-Consistent Generative Adversial Networks
    MVN Rao
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
  • Image compression based on adaptive image thresholding by maximising Shannon or fuzzy entropy using teaching learning based optimization
    MVNR K. Chiranjeevi
    Int. J. Advanced Intelligence Paradigms 75, 47-51 , 2018
    2018
  • Implementation Of Humon With Human Intelligence
    TGR M. V. Nageswara Rao, K. Chiranjeevi, L. Govinda Rao
    International Journal of Mechanical Engineering and Technology 9 (9), 882-88 , 2018
    2018
  • A hybrid VLSI architecture of Manchester Encoder for RFID applications
    MVNR M.Janaki
    International Journal of Mechanical Engineering and Technology 9 (9), 1208-1213 , 2018
    2018
  • ASIC Implementation of 4-Bit Montgomery Modular Multiplier
    MVNR B. Hyma
    Journal of Adv Research in Dynamical & Control Systems 10 (15), 441-47 , 2018
    2018
  • Design and Implementation 4-bit Flash ADC using XOR Encoder
    GMR S. Rajesh, M.V. Nageswara Rao
    Journal of Adv Research in Dynamical & Control Systems 10 (15), 454-590 , 2018
    2018
  • High Throughput FFT/IFFT Architecture for MIMO OFDM: A Review
    LGR M.V.Nageswara Rao, Pogiri Revathi
    International Journal of Engineering Applied Sciences and Technology 2 (6 … , 2017
    2017
    Citations: 1
  • Performance analysis of Piecewise Linear Companding with various precoders for PAPR reduction of FDM signals
    MVN Rao, VJ Naveen, KK Kishore
    International Research Journal of Engineering and Technology 3 (10), 675-681 , 2016
    2016
    Citations: 2
  • Register Embedded Self Immunity using Reversible Logic Gates
    MVNR Suresh Reddy
    Indian Journal of Science and Technology 9 (1), 1-4 , 2016
    2016
  • Image Enhancement Recognized on Dual Tree Complex Wavelet transform based Noise Reduction
    MVNR B. Sivaramakrishna
    International Journal of Electrical and Electronics Engineering Research 8 … , 2016
    2016
  • A hybrid companding transform technique for PAPR reduction of OFDM signals
    DD Prasad, MVN Rao
    2015 13th International Conference on Electromagnetic Interference and … , 2015
    2015
    Citations: 7
  • Remote Firmware Update of Networked Data loggers
    J Aditya, MVN Rao
    International Journal of Applied Engineering Research 10, 36061-36064 , 2015
    2015
  • Removing of high density salt and pepper noise using fuzzy median filter
    B Sravani, MVN Rao
    2014 International Conference on High Performance Computing and Applications … , 2014
    2014
    Citations: 9
  • 128-bit Advanced Encryption Standard Algorithm implementation on FPGA
    PR Rao, MVN Rao
    International Journal of Advanced Trends in Computer Science and Engg 3, 83-88 , 2014
    2014
  • Removal of low and high density salt and pepper noise using combination of Fuzzy logic and Median Filter
    B Sravani, MVN Rao
    International Journal of Advanced Trends in Computer Science and Engineering … , 2014
    2014
  • Design of 32-bit Carry Select Adder with Reduced Area
    Y Devi .Y, MVN Rao, GR Locharla
    International Journal of Computer Applications 75, 47-51 , 2013
    2013
    Citations: 13

MOST CITED SCHOLAR PUBLICATIONS

  • A novel traffic-tracking system using morphological and Blob analysis
    P Telagarapu, MVN Rao, G Suresh
    2012 International Conference on Computing, Communication and Applications, 1-4 , 2012
    2012
    Citations: 22
  • Design of 32-bit Carry Select Adder with Reduced Area
    Y Devi .Y, MVN Rao, GR Locharla
    International Journal of Computer Applications 75, 47-51 , 2013
    2013
    Citations: 13
  • Removing of high density salt and pepper noise using fuzzy median filter
    B Sravani, MVN Rao
    2014 International Conference on High Performance Computing and Applications … , 2014
    2014
    Citations: 9
  • Target Detection with Cross Ambiguity function using Binary Sequences with high Discrimination
    M.V.Nageswara Rao,K.Raja Rajeswari
    International Journal of Computer Applications 16, 8-12 , 2011
    2011
    Citations: 9
  • Architecture Design and FPGA Implementation of CORDIC Algorithm for Fingerprint Recognition Applications
    P Revathi, MVN Rao, GR Locharla
    Procedia Technology 1, 371-378 , 2012
    2012
    Citations: 8
  • A hybrid companding transform technique for PAPR reduction of OFDM signals
    DD Prasad, MVN Rao
    2015 13th International Conference on Electromagnetic Interference and … , 2015
    2015
    Citations: 7
  • TT-ACO Based power signal classifier
    B Biswal, PK Dash, MK Biswal, MVN Rao
    2009 World Congress on Nature & Biologically Inspired Computing (NaBIC … , 2009
    2009
    Citations: 6
  • ASIC implementation of 12-bit radix-8 booth multiplier
    MVNR U.Geetalakshmi
    International Journal of Engineering and Advanced Technology 8 (2), 4013-16 , 2019
    2019
    Citations: 4
  • Telugu text extraction and recognition using convolutional and recurrent neural networks
    MVNR A. Ram Bharadwaj, A. Venugopal, Ch. Surya Kiran
    International Journal of Engineering and Advanced Technology 8 (5), 1449-51 , 2019
    2019
    Citations: 3
  • Design of Ternary Sequences using PSOCM for Target Detection with CAF
    MVN Rao, KR Rajeswari
    International Journal of Wireless Communication 3, 188-192 , 2011
    2011
    Citations: 3
  • Performance analysis of Piecewise Linear Companding with various precoders for PAPR reduction of FDM signals
    MVN Rao, VJ Naveen, KK Kishore
    International Research Journal of Engineering and Technology 3 (10), 675-681 , 2016
    2016
    Citations: 2
  • Design of Polyphase Sequences using PSOCM for Target Detection with Cross Ambiguity Function
    MVN Rao, KR Rajeswari
    International Journal on Communications Antenna and Propagation 1, 182-188 , 2011
    2011
    Citations: 2
  • An Efficient Classification of Fiber Optic Sensors application to Avionics
    MS Rao, MVN Rao, R.Renuka
    Proceedings of the IEEE 1992 National Aerospace and Electronics Conference … , 1993
    1993
    Citations: 2
  • High Throughput FFT/IFFT Architecture for MIMO OFDM: A Review
    LGR M.V.Nageswara Rao, Pogiri Revathi
    International Journal of Engineering Applied Sciences and Technology 2 (6 … , 2017
    2017
    Citations: 1
  • Compression Techniques for Low Power Hardware Accelerator Design: Case Studies
    GR Locharla, P Revathi, MVN Rao
    Advances in Signal Processing and Communication Engineering: Select … , 2022
    2022
  • Design and Implementation of Speech to Text Conversion on Raspberry Pi
    MVNR A. Pardha Saradhi , A. Sai Kiran, A. Dileep Kumar, B. Srinivas
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
  • Generating Realistic Blood-Cell Images using Cycle-Consistent Generative Adversial Networks
    MVN Rao
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
  • Image compression based on adaptive image thresholding by maximising Shannon or fuzzy entropy using teaching learning based optimization
    MVNR K. Chiranjeevi
    Int. J. Advanced Intelligence Paradigms 75, 47-51 , 2018
    2018
  • Implementation Of Humon With Human Intelligence
    TGR M. V. Nageswara Rao, K. Chiranjeevi, L. Govinda Rao
    International Journal of Mechanical Engineering and Technology 9 (9), 882-88 , 2018
    2018
  • A hybrid VLSI architecture of Manchester Encoder for RFID applications
    MVNR M.Janaki
    International Journal of Mechanical Engineering and Technology 9 (9), 1208-1213 , 2018
    2018