Dr.M.V.S. Sairam

Scopus Publications

Channel Estimation for Massive MIMO-OFDM Systems Using Heterogeneous Edge-Enhanced Graph Hamiltonian Quantum Generative Adversarial Networks with Imperfect Channel State Information
Biswaranjan Barik, Metta Venkata Satya Sairam, Nulu Naresh, S. Preethi
Transactions on Electrical and Electronic Materials, 2026
Multi-instanceRiemannian residual neural network with mountaineering team-based chest disease detection using chest X-ray images
Raju Egala, M. V. S. Sairam
Research on Biomedical Engineering, 2025
Multi-layer stacked residual coordinate termite alate network for multi-class lung diseases detection from chest X-ray images
Raju Egala, M.V.S. Sairam
Applied Soft Computing, 2025
Artificial intelligence in the power sector: Tackling climate changes
Shanmugasundaram Senathipathi, Minal Tukaram Pawar, M. V. S. Sairam, Raju Egala, M. Karthik, R. Reka
Innovations in Power Systems and Applications, 2025
Artificial intelligence is transforming the energy industry as it improves the efficiency of power generation, enhances consumption patterns, and makes possible the shift towards renewable sources of energy. It is under the aegis of climate change that AI will prove to be an innovation source for reducing greenhouse gas emissions as well as managing energy systems. This chapter focuses on the applications of AI in renewable energy forecasting, smart grid management, and demand-side optimization while considering the issue of carbon footprint reduction. With machine learning models that enhance predictions for wind and solar energies, AI-based grids have led to efficient power distribution without significant losses. Advanced algorithms are also capable of equipping consumers with actionable insights into sustainable use of energy. By integrating AI into IoT technology, energy systems can be much more adaptive and resilient.
A Wideband Proximity Coupled Millimeter Wave Microstrip Franklin Antenna for 5G Wi-Fi Applications
Harini. V, Pramod Kumar, Sairam. M V S
5th IEEE International Conference on Mobile Networks and Wireless Communications Icmnwc 2025, 2025
A Proximity Coupled Millimeter Wave Microstrip Franklin Antenna is proposed for $\mathbf{5 G}$ Wi-Fi applications. The design and analysis of a single element with a hexagonal shape are carried out using Rogers RT Duriod material, which has a dielectric loss tangent of 0.0009 and an $\varepsilon_{r}=$ 2.2, the substrate thickness is $\mathbf{0. 8 m m}$ is considered. The antenna consists of four franklin elements separated by 3 mm distance and each franklin element is made of rectangular patch of dimensions $15 \times 10 \mathrm{~mm}^{2}$ and having the rectangular and rhombus shaped slots embedded in it. Proximity coupled is used to reduce to losses and distortions and makes antenna to provide wide band characteristics. The proposed antenna is radiating at wideband frequencies ranging from 26 GHz to 40 GHz with a fractional bandwidth of 39.12%. The antenna has maximum gain of 11.7 dBi at 28 GHz. Because to its small size, wide bandwidth, and high gain, the proposed antenna is ideal for 5 G Wi-Fi applications that face obstacles including dense deployment, high data-rate demands, and significant path loss.
Design of Stacked Multilayer Aperture Coupled Millimeter-wave Circular Array Antenna for 5G Femtobase stations
V. Harini, M. V. S. Sairam, R. Madhu
IETE Journal of Research, 2025
In this paper, a design of a stacked multilayer aperture-coupled millimetre-wave circular array antenna is proposed for 5G Femto base stations. These base stations include miniature antennas, where compact microstrip antennas with good impedance matching, high gain, and efficiency along with the reduction in sidelobe level which is the major advantage of the aperture coupled feed mechanism. This array antenna exhibits low return loss at multiple frequency bands like 28 and 38 GHz with reflection coefficient values like −18.74 dB and −10.6 dB, including almost 100% radiation efficiency and attained maximum gain values like 11.93dBi and 10.44dBi. The proposed antenna achieves a sidelobe level value of 14 dB at 28 GHz in an E-plane with wide beam widths of 80° and 85° at 28 and 38 GHz, respectively. There is a good agreement between simulated and measured results for the proposed aperture-coupled millimetre-wave circular array antenna.
Enhancing Spectrum Sensing and Energy Efficiency in Cognitive Radio Network Using Multiple Fusion Centers
M. V. S. Sairam, Birendra Biswal, Nalini Bodasingi, Raju Egala
Lecture Notes in Networks and Systems, 2025
Machine Learning to Analyze Human Development for Corporate Management
Sreekanth Rallapalli, Sunita Vaibhav Gujar, M. V. S. Sairam, Saurabh Chandra, M. Mohanasundari
Corporate Management in the Digital Age, 2025
This chapter discusses ML techniques for analyzing human development and behavioral patterns in corporate management. The message is how ML becomes increasingly relevant for decoding complex human behavior, including cognitive development, social interaction, and emotional intelligence. With massive amounts of data like digital footprints, social media activity, and biometric information, it's quite possible to identify trends and predict future behavior and provide insights for personalization using ML models. The significant algorithms are explained under two categories-supervised and unsupervised learning-with emphasis on how ML may contribute to learning milestones and abnormal behaviors in the context of case studies involving healthcare, education, and work environments describing how ML can positively optimize interventions, offer support to mental health monitoring, and support decision-making processes. How ML affects data privacy, model bias, and the need for transparent AI systems are also discussed.
Groundwater quality evaluation and prediction using irrigation indices: pyramidal convolution split-attention networks with atomic orbital search algorithm
Sirisha Korrai, Ramya Nemani, Hemanshu Mediboyana, Raju Egala, M. V. S. Sairam, et al.
Hydrological Sciences Journal, 2025
Groundwater quality is crucial for sustainable agriculture, especially in regions like coastal Andhra Pradesh, where contamination from urban and industrial sources is rising. Traditional assessment methods are often slow and inefficient in handling complex, nonlinear hydrochemical data. This study introduces a hybrid deep learning model combining Pyramidal Convolution Split-Attention Networks (PCSAN) with the Atomic Orbital Search Algorithm (AOSA) to predict groundwater quality accurately. Using 166 groundwater samples with 20 physicochemical parameters from Visakhapatnam, the model employs the Irrigation Water Quality Index (IWQI) for classification. PCSAN enables multiscale feature extraction and spatial attention learning, while AOSA optimizes model hyperparameters. Statistical tests confirmed data normality and robustness. The model achieved 99.17% accuracy, 99.65% precision, 99.12% recall, 98.72% F1-score, and low error metrics (RMSE: 0.049, MAE: 0.101, MAPE: 0.402), outperforming existing models and offering a fast, accurate, and scalable solution for groundwater quality monitoring.
A Review on Medical Image Analysis Using Deep Learning †
Raju Egala, M. V. S. Sairam
Engineering Proceedings, 2024
The objective of the medical image analysis is to increase the effectiveness of the diagnosis options. The Coevolution Neural Network (CNN) is the predominant neural network architecture used in Deep Learning (DL) for medical image analysis. Recently, various innovative technics of DL such as different activation functions, optimization technics, and loss functions have enhanced the performance of CNNs. The Deep Learning CNN (DL-CNN) assists as valuable tool to assist radiologist in diagnosis and improves efficiency and accuracy. Numerous DL-CNN methods have been published to analyze medical images. This paper compiles the performance metrics of DL-CNN, as presented by various authors. This paper reviews the image analysis of six different diseases, viz., lung cancer, colorectal cancer, liver cancer, stomach cancer, breast cancer, and brain tumors.
Performance Analysis of Minkowski PIFA Antenna with Different Feed Positions for 5G Femtocells
Harini V, Sairam M V S, Madhu R
3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2024, 2024
16-element CPW Series Fed Millimeter-wave Hexagonal Array Antenna for 5G Femtocell Applications
V. Harini, M. V. S. Sairam, R. Madhu
International Journal of Microwave and Wireless Technologies, 2022
A 32 element circular-shaped corporate feed antenna array for millimeter-wave femtocells
V Chandrasekhar, J Andrews, A Gatherer, D Muirhead, M Imran, et al.
International Journal of Advanced Technology and Engineering Exploration, 2022
Dual-Band Hexagonal Millimeter Wave MIMO Antenna for 5G Femtocell Implementations
Harini V, Sairam M V S, Madhu R
2022 2nd International Conference on Intelligent Technologies Conit 2022, 2022
A semantic contour based segmentation of lungs from chest x-rays for the classification of tuberculosis using Naïve Bayes classifier
P. Geetha Pavani, Birendra Biswal, M. V. S. Sairam, N. Bala Subrahmanyam
International Journal of Imaging Systems and Technology, 2021
A wide band log periodic millimeter-wave antenna for 5G femtocells applications
Harini V, Sairam M.V.S, Madhu R
Transactions on Emerging Telecommunications Technologies, 2021
Robust segmentation of vascular network using deeply cascaded AReN-UNet
Aamer Abdul Rahman, Birendra Biswal, Geetha Pavani P, Shazia Hasan, M.V.S. Sairam
Biomedical Signal Processing and Control, 2021
Performance Analysis of an Extended Sierpinski Gasket Fractal Antenna for Millimeter-wave Femtocells Applications
V. Harini, M. V. S Sairam, R. Madhu
Wireless Personal Communications, 2021
An exclusive-disjunction-based detection of neovascularisation using multi-scale CNN
Geetha Pavani P, Birendra Biswal, M V S Sairam, Pradyut Kumar Biswal
Iet Image Processing, 2021
Robust retinal optic disc and optic cup segmentation via stationary wavelet transform and maximum vessel pixel sum
Birendra Biswal, Eadara Vyshnavi, Metta Venkata Satya Sairam, Pravat Kumar Rout
Iet Image Processing, 2020
Design of 31.2/40.1667 GHz Dual Band Antenna for Future mmwave 5G Femtocell Access Point Applications
V. Harini, M. V. S. Sairam, R. Madhu
Learning and Analytics in Intelligent Systems, 2020
Performance Analysis of Pentagon Shaped Millimeter wave Antenna for 5G Femtocells Applications
V Harini, M V S Sairam, R Madhu
Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology Icssit 2019, 2019
Crescent shaped slot mmwave array antenna for future 5g femtocells applications
International Journal of Engineering and Advanced Technology, 2019
Time-frequency analysis and classification of power signals using adaptive cuckoo search algorithm
Birendra Biswal, Prakash Kumar Karn, M.V.S. Sairam, B. Rupa Surekhabolli
International Journal of Numerical Modelling Electronic Networks Devices and Fields, 2019
Low-Complexity Selected Mapping Scheme Using a Bank of Butterfly Circuits in Orthogonal Frequency Division Multiplexing Systems
M. V. S. Sairam, Shaik Riyaz, R. Madhu, V. Harini
Wireless Personal Communications, 2018
Reduction of reporting time for throughput enhancement in Cooperative spectrum sensing based cognitive radio
Metta Sairam, , Mupparaju Sivaparvathi, and
International Journal of Intelligent Engineering and Systems, 2018
PAPR reduction using combination of precoding with Mu-Law companding technique for MIMO-OFDM systems
R. Chandrasekhar, M. Kamaraju, M.V.S. Sairam, G.Tirumala Rao
2015 International Conference on Communication and Signal Processing Iccsp 2015, 2015
Simulation of Radiated Noise signature of a marine vessel
GV. Krishna Kumar, M. Padmanabam, M. Bhagya Sree, M.V.S. Sairam
2015 IEEE Underwater Technology Ut 2015, 2015

RECENT SCHOLAR PUBLICATIONS

Channel Estimation for Massive MIMO-OFDM Systems Using Heterogeneous Edge-Enhanced Graph Hamiltonian Quantum Generative Adversarial Networks with Imperfect Channel State …
B Barik, MVS Sairam, N Naresh, S Preethi
Transactions on Electrical and Electronic Materials 27 (1), 176-192 , 2026
2026
Citations: 1
Network Using Multiple Fusion Centers
MVS Sairam, B Biswal, N Bodasingi, R Egala
Micro-electronics and Telecommunication Engineering: Proceedings of 8th … , 2025
2025
Multi-instanceRiemannian residual neural network with mountaineering team-based chest disease detection using chest X-ray images
R Egala, MVS Sairam
Research on Biomedical Engineering 41 (3), 44 , 2025
2025
Citations: 12
Groundwater quality evaluation and prediction using irrigation indices: pyramidal convolution split-attention networks with atomic orbital search algorithm
S Korrai, R Nemani, H Mediboyana, R Egala, MVS Sairam, SS Achanta
Hydrological Sciences Journal 70 (11), 1913-1928 , 2025
2025
Citations: 1
Multi-layer stacked residual coordinate termite alate network for multi-class lung diseases detection from chest X-ray images
R Egala, MVS Sairam
Applied Soft Computing 179, 113393 , 2025
2025
Citations: 13
Design of Stacked Multilayer Aperture Coupled Millimeter-wave Circular Array Antenna for 5G Femtobase stations
V Harini, MVS Sairam, R Madhu
IETE Journal of Research, 1-16 , 2025
2025
Citations: 6
Multivariable Artificial Intelligence (AI) Based Monitoring System For Early Detection Of Glaucoma
GP Pappu, B Biswal, BR Jammu, DS Pindi, R Tammineni, MVS Sairam, ...
US Patent App. 18/161,042 , 2025
2025
Citations: 1
Artificial Intelligence-Powered Cyclone Classification Framework Using Mobilenetv1 and Goose Optimizer: Climate-Resilient Farming
MVS Sairam, R Egala
International Research Journal on Advanced Science Hub 7 (4), 299-304 , 2025
2025
Transfer Learning-Based Convolutional Neural Network for Six-Class Lung Disease Classification
MVS Sairam, R Egala
International Research Journal on Advanced Engineering Hub 3 (1), 52-60 , 2025
2025
Citations: 3
Artificial Intelligence in the Power Sector: Tackling Climate Changes
S Senathipathi, MT Pawar, MVS Sairam, R Egala, M Karthik, R Reka
Innovations in Power Systems and Applications, 309-332 , 2025
2025
Citations: 2
Improving cognitive radio network performance using alexnet
R Egala, MVS Sairam, J Anusha
International Journal of Current Science (IJCSPUB) 15 (1), 174-181 , 2025
2025
Citations: 3
Enhancing Spectrum Sensing and Energy Efficiency in Cognitive Radio Network Using Multiple Fusion Centers
MVS Sairam, B Biswal, N Bodasingi, R Egala
International Conference on Micro-Electronics and Telecommunication … , 2024
2024
Deep Learning-Based Spectrum Management to Enhance the Performance of Cognitive Radio Network Using MobileNet
MVS Sairam, R Egala, H Rajasekhar, KS Nohith
IRE Journals 8 (6), 274-279 , 2024
2024
Citations: 4
A Review on Medical Image Analysis Using Deep Learning
R Egala, MVS Sairam
Engineering Proceedings 66 (1), 7 , 2024
2024
Citations: 40
Performance Analysis of Minkowski PIFA Antenna with Different Feed Positions for 5G Femtocells
V Harini, MVS Sairam, R Madhu
2024 Third International Conference on Distributed Computing and Electrical … , 2024
2024
Citations: 2
Energy detector with adaptive optimal threshold for enhancing spectrum sensing in cognitive radio network
MVS Sairam, R Egala
International Journal of Latest Technology in Engineering, Management … , 2024
2024
Citations: 7
SLM-BASED PAPR REDUCTION IN OFDM SYSTEM USING FOUR DISTINCT MATRICES
H Rajasekhar, MVS Sairam, R Egala
2024
Citations: 18
Deep Learning Framework for Enhancing the Performance of Cognitive Radio Network
MVS Sairam, R Egala, KS Nohith
Journal of Emerging Technologies and Innovative Research (JETIR) 11 (11) , 2024
2024
Citations: 24
A 32 element circular-shaped corporate feed antenna array for millimeter-wave femtocells
V Harini, MVS Sairam, R Madhu
International Journal of Advanced Technology and Engineering Exploration 9 … , 2022
2022
Citations: 1
16-element CPW series fed millimeter-wave hexagonal array antenna for 5G femtocell applications
V Harini, MVS Sairam, R Madhu
International Journal of Microwave and Wireless Technologies 14 (8), 955-969 , 2022
2022
Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

Peak-to-average power reduction in MIMO-OFDM systems using sub-optimal algorithm
K Srinivasarao, B Prabhakararao, MVS Sairam
International Journal of Distributed and Parallel Systems (IJDPS) vol 3 , 2012
2012
Citations: 71
A Review on Medical Image Analysis Using Deep Learning
R Egala, MVS Sairam
Engineering Proceedings 66 (1), 7 , 2024
2024
Citations: 40
Deep Learning Framework for Enhancing the Performance of Cognitive Radio Network
MVS Sairam, R Egala, KS Nohith
Journal of Emerging Technologies and Innovative Research (JETIR) 11 (11) , 2024
2024
Citations: 24
A wide band log periodic millimeter‐wave antenna for 5G femtocells applications.
S MVS
Transactions on Emerging Telecommunications Technologies 32 (11) , 2021
2021
Citations: 24
Robust retinal optic disc and optic cup segmentation via stationary wavelet transform and maximum vessel pixel sum
B Biswal, E Vyshnavi, MVS Sairam, PK Rout
IET Image Processing 14 (4), 592-602 , 2020
2020
Citations: 24
Robust segmentation of vascular network using deeply cascaded AReN-UNet
AA Rahman, B Biswal, S Hasan, MVS Sairam
Biomedical Signal Processing and Control 69, 102953 , 2021
2021
Citations: 23
Low-complexity selected mapping scheme using a bank of butterfly circuits in orthogonal frequency division multiplexing systems
MVS Sairam, S Riyaz, R Madhu, V Harini
Wireless Personal Communications 99 (3), 1315-1328 , 2018
2018
Citations: 23
Performance analysis of an extended sierpinski gasket fractal antenna for millimeter-wave femtocells applications
V Harini, MVS Sairam, R Madhu
Wireless Personal Communications 119 (2), 1437-1468 , 2021
2021
Citations: 21
A semantic contour based segmentation of lungs from chest x‐rays for the classification of tuberculosis using Naïve Bayes classifier
P Geetha Pavani, B Biswal, MVS Sairam, N Bala Subrahmanyam
International Journal of Imaging Systems and Technology 31 (4), 2189-2203 , 2021
2021
Citations: 19
PAPR reduction using combination of precoding with Mu-Law companding technique for MIMO-OFDM systems
R Chandrasekhar, M Kamaraju, MVS Sairam, GT Rao
2015 International Conference on Communications and Signal Processing (ICCSP … , 2015
2015
Citations: 19
SLM-BASED PAPR REDUCTION IN OFDM SYSTEM USING FOUR DISTINCT MATRICES
H Rajasekhar, MVS Sairam, R Egala
2024
Citations: 18
Improvement of ber performance in ofdm under various channels with eh code
K Lavanya, M Sairam
International Journal of Advanced Research in Computer and Communication … , 2015
2015
Citations: 18
Multi-layer stacked residual coordinate termite alate network for multi-class lung diseases detection from chest X-ray images
R Egala, MVS Sairam
Applied Soft Computing 179, 113393 , 2025
2025
Citations: 13
Multi-instanceRiemannian residual neural network with mountaineering team-based chest disease detection using chest X-ray images
R Egala, MVS Sairam
Research on Biomedical Engineering 41 (3), 44 , 2025
2025
Citations: 12
Enhancement of Error Performance in OFDM System with Extended Hamming Code Under various Channels
K Lavanya, MVS Sairam
Journal of Network Communications and Emerging Technologies (JNCET) www … , 2017
2017
Citations: 11
PAPR Reduction in SLM Scheme using Exhaustive Search Method
MVS Sairam
European Journal of Advances in Engineering and Technology 4 (10), 739-743 , 2017
2017
Citations: 11
A Novel Coding Technique To Minimise The Transmission Bandwidth And Bit Error Rate In DPSK
MVS Sairam, DRB PrabhakaraRao
IJCSNS International Journal of Computer Science and Network Security 8 (5 … , 2008
2008
Citations: 11
Crescent-shaped slot mm-wave array antenna for future 5G femtocells applications
V Harini, MVS Sairam, R Madhu, M Naresh Kumar
International Journal of Engineering and Advanced Technology (IJEAT) 8 (5) , 2019
2019
Citations: 9
Reduction of Reporting Time for Throughput Enhancement in Cooperative Spectrum Sensing Based Cognitive Radio. network, 164
MVS Sairam, M Sivaparvathi
2017
Citations: 8
Energy detector with adaptive optimal threshold for enhancing spectrum sensing in cognitive radio network
MVS Sairam, R Egala
International Journal of Latest Technology in Engineering, Management … , 2024
2024
Citations: 7

Dr.M.V.S. Sairam

EDUCATION

RESEARCH INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS