Dr. M. N. V. S. S. KUMAR received the B.Tech., M.Tech., and Ph.D. degrees from Andhra University. He is currently working as an Associate Professor with the Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali. He completed two research projects funded by UGC and DLRL. He published 4 patents. He published 110 research papers in various journals and conferences. His research interests include Underwater Signal and Image Processing, Mobile communications and GPS. He is a member of IEEE, ISTE and IETE.
EDUCATION
B.Tech, M.Tech, Ph.D
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Biomedical Engineering, Electrical and Electronic Engineering
Communication efficiency enhancement in underwater wireless sensor networks M.N.V.S.S. Kumar, Sanapala Ramkishore, G. Sateesh Kumar, Sanapala Umamaheshwararao International Journal of Computational Vision and Robotics, 2025 Underwater wireless sensor networks (UWSNs) are very important in establishing underwater communication. In this UWSNs, the main parameters need to be focused are low latency and energy-efficient data transfer. However, there are problems as a result of dynamic topologies of networks. The acoustic medium's location-dependent and time-communication characteristics make it challenging to collect data in UWSNs in a reliable and energy-efficient way using exceptionally stable links. This research employs a new hybrid optimisation method known as the fish swarm artificial algae algorithm (FS-AAA) for routing scheme over internet monitoring events in UWSNs applications. The developed routing method provides more durable and reliable routing paths for routing packets in UWSNs under shadow zones and connectivity voids. By balancing the traffic load data over the vast network scale, latency and energy consumption issues are reduced when sharing information. The designed protocol's primary multi-objective function is to improve signal-to-noise ratio (SNR), packet delivery probability and quality of service (QoS). Experiment findings show that the developed method outperforms the UWSNs' present routing strategies.
Smartguard an Intelligent Wearable for Women's Safety Sanapala Umamaheswararao, M N V S S Kumar, Marpu Chaitanya Kumar, Kotni Krishnam Raju, B Chandra Mouli, Prudhvi Krishna 4th Wireless Antenna and Microwave Symposium Wams 2025, 2025 As the rate of sexual violence rise, there is a compelling urgency for creative ways to keep woman safe. Some of the products already on the market provide fall detection. PS location tracking, heart-rate Monitoring and emergency notification-including medical alert smartwatches as well as voice activated Assistive systems that connect with first respondents. “SmartGuard: An Intelligent Wearable for Women's Safety” is a wearable device designed to enhance personal security by utilizing advanced sensors and real-time communication technologies. The system integrates a heart rate sensor to detect abnormal heartbeat patterns, which can indicate stress or danger, and a voice recognition module that listens for specific distress keywords like “help.” Upon detecting these triggers, the device automatically sends an emergency alert, including the wearer's GPS location, via GSM to designated contacts. A red LED and buzzer provide immediate audible and visual alerts to those nearby. The device is powered by a 5 V supply and 12 V adapters, while an LCD displays real-time status updates. Controlled by an Arduino UNO, SmartGuard offers a reliable, real-time safety solution that empowers women by providing discreet yet effective assistance in dangerous situations..“SmartGuard is an innovative wearable device designed to enhance safety for women by incorporating advance sensor technology, real time communication systems and automation.By heart rate sensor continuous monitor of physical stress is done and voice recognition module to detect distress signals, the device automatically sends emergency alerts including the users GPS location,to predefined contacts and emergency services. As mentioned earlier it also provide visual and audible alerts to alert nearby individuals.
AN AUTOMATED BREAST CANCER DETECTION BY HEURISTIC-BASED ENSEMBLE DEEP CLASSIFIER USING MAMMOGRAM AND TOMOSYNTHESIS IMAGES M. N. V. S. S. Kumar, D. Eswara Chaitanya, L. Ganesh, T. Sri Sudha Biomedical Engineering Applications Basis and Communications, 2024 Nowadays, breast cancer is the most founded cancer among women. Moreover, 2.3 million new cases of breast cancer have been detected among women since 2020 as reported by World Health Organization (WHO). Many research studies based on breast cancer mainly aim at ultrasound, mammography, and Magnetic Resonance Images (MRI). However, there exist certain limitations such as lack of access for the detection of disease in rural and remote cities and insufficient knowledge about the availability of computer-aided systems. In order to overcome the problem, it is necessary to develop an effective detection model for breast cancer. For the experimentation, the input images like mammogram images and tomosynthesis images are garnered from the benchmark online resources. The input image further undergoes the pre-processing stage, which is made by using “Contrast Limited Adaptive Histogram Equalization (CLAHE) and histogram equalization (HE)”. Then, the pre-processed images are further given as input to the segmentation, in which deeplabv3 is deployed. Consequently, with the assistance of segmented images, the relevant features like “texture features, color features, shape features, deep features, statistical features and morphological features” are extracted. Then, these obtained features are used in weighted feature selection, where the optimal feature selection is performed, and weights are optimized by the Enhanced Adaptive Prey Location-Based Pelican Optimization Algorithm (APL-POA). Finally, the weighted accurate features are given as input to the Ensemble Deep Learning (EDC) model. The ensemble model is structured by “Deep Neural Network (DNN), Recurrent Neural Network (RNN), Bidirectional Long Short-Term Memory (Bi-LSTM), Deep Temporal Convolution Networks (DTCN) and Gated Recurrent Unit (GRU)”, in which the hyperparameters of every classifier are smoothened optimally by the enhanced APL-POA algorithm. Through the experimental analysis, the proposed work tends to provide an improved classification rate and rapid detection of disease that aids in better diagnosis of the patients.
Wireless underwater channel modelling for acoustic communication Sanapala Umamaheswararao, M.N.V.S.S. Kumar, R. Madhu International Journal of Computational Vision and Robotics, 2024 Underwater channel modelling is very essential to establish acoustic communication underwater. It helps AUVs to navigate safely by avoiding collisions. But a lot of complexities are involved in acoustic communication as there will be reflections from the water surfaces. The main factors that are influencing underwater communication are transmission loss, noise, multipath, Doppler spread, and propagation delay. These parameters made available the acoustic channel's bandwidth restricted and drastically subject to both range and frequency. The terrestrial communication parameters are not suitable to the underwater communication and hence require a dictated system design. The underwater channel modelling includes the finding of signal to noise ratio (SNR) at the receiver, transmission path loss and path gain for a particular path due to multipath propagation, and the noise level in the propagation path. An underwater channel communication model for sonar data is developed by considering the case of multipath propagation in shallow water.
Dual-Band Circularly Polarized Microstrip Planar Array Antenna with Inter-leaved Elements for Geo-stationary Satellite TT&C Application B Pavan Kumar, B Sandhya Reddy, M Kumar, P V S Raman, C Sriharsha, V Senthil Kumar 2022 IEEE Wireless Antenna and Microwave Symposium Wams 2022, 2022 Designing a dual-band circularly polarized planar array with good isolation between the two bands is a complex job. In this work this has been implemented using a novel approach of interleaving the radiating elements of both the bands over a common aperture and yet keeping the inter-element spacing within the acceptable limits. The design has been carried out at Extended C-Band to meet the objective of achieving a half power beamwidth of 5° within the constraints of minimum mass and volume. The hardware has been successfully realized and the measured return loss is better than 20dB and the isolation between the two ports is better than 30dB at the required frequencies.
Detection of dark matter in space by precise optical clock transition measurements using co-propagating solitons in photonic molecule Optics Infobase Conference Papers, 2021
In-situ Microplastic Detection Sensor based on Cascaded Microring Resonators Sandeep Battula, Mnvss Kumar, Santosh Kumar Panda, K Pavan, Umamaheswara Rao Oceans Conference Record IEEE, 2021 Microplastics in the oceans is a growing concern in the recent years as it directly affects the marine life and indirectly affects the health of humans as well. Identifying these microplastics is a laborious process and often involves the bulky equipment for analysis. In this work, we proposed an in-situ microplastics detection sensor by employing the Ge on Si rib waveguide microring resonators as a core sensing element which are arranged in cascaded manner to achieve the Vernier effect thus useful for high sensitivity analysis in near and mid IR regions where the absorption spectra of most of the plastics falls under. As a Mid IR source, Optical Network Analyzer (ONA) has been used which generates source light (in Mid IR) and simulated in Lumerical Interconnect software. Finally, mode profiles, effective indices of waveguides and transmission spectrum, Free Spectral range (FSR) of PIC circuit has been calculated and presented. The simulations have been performed in Lumerical Mode for modal analysis, Lumerical FDTD for compact model generation and S-parameters extraction and Lumerical Interconnect for circuit level simulation.
Online Ocean Monitoring using Edge IoT Sandeep Battula, MNVSS Kumar, Santosh Kumar Panda, Uma Maheshwara Rao, Ganesh Laveti, B Mouli 2020 Global Oceans 2020 Singapore U S Gulf Coast, 2020
Performance analysis of biorthogonal wavelets for edge feature extraction of X-ray images based on parameterized filter design International Journal of Applied Engineering Research, 2015
EXPLORING THE ROLE OF GUT MICROBIOTA IN DIFFERENT BEE SPECIES AND THE PESTICIDE PARADOX M Ikram, MR Srinivasan, A Suganthi, M Guarna, VR Saminathan, ... Journal of Animal and Plant Sciences 36 (2), 307-320 , 2026 2026
Growth performance of Pratapdhan chicks fed graded levels of mustard cake S Mishra, SK Gurjar, P Salvi, M Jat, M Kumar, AK Yadav, P Nodal Indian Journal of Animal Sciences 95 (8) , 2026 2026
Assessment of heavy metals in groundwater and their potential health risks: case study of Roorkee City, India MK Sharma, D Kumar, V Gehlot, D Sharma, K Bhanot, M Kumar, ... International Journal of Energy and Water Resources 9 (4), 2439-2460 , 2025 2025
Mycobacterium avium Subspecies paratuberculosis Infection and Immunopathological Changes in Animals: A Review M Kumar, KK Chaubey, D Dayal, SV Singh, S Sharma, U Goyal, S Tyagi, ... Indian Journal of Animal Research 1, 11 , 2025 2025 Citations: 1
Synthesis and characterisation of a novel silica—CaO/TPA catalyst for biodiesel production M Revathi, M Dharmendira Kumar, G Palani, H Trilaksanna, S AM Biofuels 16 (8), 807-815 , 2025 2025 Citations: 2
A unique optimization-based routing path communication in underwater wireless sensor networks using Manta-Ray Foraging-Crow search optimization S Chintada, M Kumar, M Ramarakula Peer-to-Peer Networking and Applications 18 (5), 255 , 2025 2025
Growth performance of Pratapdhan chicks fed graded levels of mustard cake SK Gurjar, S Mishra, P Salvi, M Jat, M Kumar, AK Yadav, P Nodal INDIAN JOURNAL OF ANIMAL SCIENCES 95 (8), 750-754 , 2025 2025
81P Targeting the PIK3CA/c-MYC pathway to inhibit oncogenicity and stemness in cervical cancer R Mishra, P Agarwal, M Kumar, BC Das ESMO Open 10 , 2025 2025
Smartguard an Intelligent Wearable for Women's Safety S Umamaheswararao, M Kumar, MC Kumar, KK Raju, BC Mouli, ... 2025 IEEE Wireless Antenna and Microwave Symposium (WAMS), 1-5 , 2025 2025 Citations: 1
Preface: High entropy and multiferroic materials with novel properties S Sharma, OR Herrera, M Kumar, S Sahoo Materials Today Communications 46, 112559 , 2025 2025
Acute Respiratory Infections Identification With Cough Sounds and Overlapping Patch Modulated Vision Transformers PVV Kishore, DA Kumar, P Sasikiran, KK Mohan, PP Kumar, MV Kumar IEEE Access 13, 77507-77521 , 2025 2025
Stockwell transform empowered attention-guided residual CNN for sleep Apnea classification DP Charakanam, ST Tumapala, M Kumar, MR Nalla International Journal of System Assurance Engineering and Management 16 (2 … , 2025 2025 Citations: 1
SECURE SENSING AND COMPUTING TECHNIQUES BASED ON FUZZY IN 5G M SHAIK, MS KUMAR, B RAMESH INTERNATIONAL JOURNAL 1 (1) , 2025 2025
Communication efficiency enhancement in underwater wireless sensor networks M Kumar, S Ramkishore, GS Kumar, S Umamaheshwararao International Journal of Computational Vision and Robotics 15 (5), 588-605 , 2025 2025
ENERGY AT THE BOUNDARY OF AN ELASTIC AND THERMOELASTIC MEDIUMS UNDER DIFFERENT THEORIES OF THERMOELASTICITY K KUMAR, V GUPTA, M KUMAR, SH GOEL THERMAL SCIENCE 8 (1), 10909 , 2025 2025
STUDY OF CYBER THREAT INTELLIGENCE, RISK MANAGEMENT AND METHODS P SINGH, M KUMAR, N SHARMA, P KUMAR JOURNAL OF INFORMATION AND OPTIMIZATION SCIENCES 46 (1), 65-74 , 2025 2025 Citations: 1
Ecotoxicological effects of carbendazim on the freshwater food fish Channa striata: an approach to safeguard fish and its consumer's health A Dubey, M Kumar Arch Life Sci Res 1 (1), 37-48 , 2025 2025 Citations: 6
Central Nervous System Sensitization in Fibromyalgia: Unraveling a Complex Chronic Pain Syndrome M Kumar, A Singh, MK Yadav, K Kumari, S Kumari International Journal of Scientific Research and Technology 1 (12), 232-239 , 2024 2024 Citations: 1
Ragi Revolution: Enhancing Dietary Practices through Nutritional Education and Local Food Systems Implementation J Sinha, C Kumari, AK Srivastava, M Kumar, B Singh European Journal of Nutrition and Food Safety 16 (11), 92-108 , 2024 2024
A Prospective Study to Assess the Role of Neo-Adjuvant Chemoradiation in Locally Advanced Carcinoma Gallbladder D Khosla, T Dey, R Kapoor, R Gupta, M Kumar, SS Rana, H Singh, ... International Journal of Radiation Oncology, Biology, Physics 120 (2), e437 , 2024 2024
MOST CITED SCHOLAR PUBLICATIONS
Skin cancer detection and classification using machine learning MK Monika, NA Vignesh, CU Kumari, M Kumar, EL Lydia Materials Today: Proceedings 33, 4266-4270 , 2020 2020.0 Citations: 219
Business models of SMEs as a mechanism for scaling climate smart technologies: The case of Punjab, India AE Groot, JS Bolt, HS Jat, ML Jat, M Kumar, T Agarwal, V Blok Journal of Cleaner Production 210, 1109-1119 , 2019 2019.0 Citations: 94
Detection and analysis of Alzheimer’s disease using various machine learning algorithms P Kishore, CU Kumari, M Kumar, T Pavani Materials today: proceedings 45, 1502-1508 , 2021 2021.0 Citations: 59
A compact grounded asymmetric coplanar strip-fed flexible multiband reconfigurable antenna for wireless applications K Sreelakshmi, GS Rao, M Kumar IEEE Access 8, 194497-194507 , 2020 2020.0 Citations: 58
A new method of target tracking by EKF using bearing and elevation measurements for underwater environment N Modalavalasa, GSB Rao, KS Prasad, L Ganesh, M Kumar Robotics and Autonomous Systems 74, 221-228 , 2015 2015.0 Citations: 51
Arsenic contamination of groundwater in Nepal—an overview. Water, 3, 1–20 JK Thakur, KR Thakur, A Ramanathan, M Kumar, SK Singh 2011.0 Citations: 42
Antimicrobial and toxicological studies of some metal complexes of 4-methylpiperazine-1-carbodithioate and phenanthroline mixed ligands SB Kalia, G Kaushal, M Kumar, SS Cameotra, A Sharma, ML Verma, ... Brazilian Journal of Microbiology 40 (4), 916-922 , 2009 2009.0 Citations: 40
Satellite clock error and orbital solution error estimation for precise navigation applications B Bidikar, GS Rao, L Ganesh, SK MNVS Positioning 5 (1), 22 , 2014 2014.0 Citations: 39
TDOA measurement based GDOP analysis for radio source localization G Laveti, GS Rao, DE Chaitanya, M Kumar Procedia Computer Science 85, 740-747 , 2016 2016.0 Citations: 26
GPS signal short-term propagation characteristics modeling in urban areas for precise navigation applications GS Kumar, GSB Rao, M Kumar Positioning 4 (2), 192 , 2013 2013.0 Citations: 20
Convergence issues of taylor series method in determining unknown target location using hyperbolic multilateration DE Chaitanya, MS Kumar, GS Rao, R Goswami 2014 International Conference on Science Engineering and Management Research … , 2014 2014.0 Citations: 17
Crop nutrient management using Nutrient Expert improves yield, increases farmers’ income and reduces greenhouse gas emissions. Sci Rep 11: 1564 TB Sapkota, ML Jat, DS Rana, A Khatri-Chhetri, HS Jat, D Bijarniya, ... 2021.0 Citations: 15
Performance analysis of collision alleviating distributed coordination function protocol in congested wireless networks–a Markov chain analysis SBR Gottapu, M Tatineni, M Kumar IET networks 2 (4), 204-213 , 2013 2013.0 Citations: 14
Enhanced sensing performance of ZnO nanostructures-based gas sensors: a review. Energy Rep. 6, 46–62 (2020) VS Bhati, M Hojamberdiev, M Kumar Citations: 14
A novel segmentation algorithm for feature extraction of brain MRI tumor C Rajasekhara Rao, M Kumar, GSB Rao Information and Decision Sciences: Proceedings of the 6th International … , 2018 2018.0 Citations: 11
Physicochemical studies on some 4-methylpiperazine-1-carbodithioate complexes of zinc (II), cadmium (II) and mercury (II) SB Kalia, G Kaushal, M Kumar, S Kumar, KL Khanduja Indian journal of chemistry. Sect. A: Inorganic, physical, theoretical … , 2008 2008.0 Citations: 11
Designing of wireless sensor nodes for providing good quality drinking water to the public MNVSSK Ch. Usha Kumari, E. Laxmi Lydia, A. Sampath Dakshina Murthy Materials Today: Proceedings 33 (7), 4250-4254 , 2022 2022.0 Citations: 10
Online ocean monitoring using edge IoT S Battula, M Kumar, SK Panda, UM Rao, G Laveti, B Mouli Global Oceans 2020: Singapore–US Gulf Coast, 1-7 , 2020 2020.0 Citations: 10
A new approach for tracking moving objects in underwater environment MNVSS Kumar Current Science 110 (7) , 2016 2016.0 Citations: 10
GPS signal rician fading model for precise navigation in urban environment GS Kumar, GSB Rao, M Kumar Indian Journal of Radio and Space Physics 42, 192-196 , 2013 2013.0 Citations: 10