VIJAYAPRABHU ARUMUGAM

@sietk.org

Associate Professor and ECE
SIDDHARTH INSTITUTE OF ENGINEERING AND TECHNOLOGY

VIJAYAPRABHU ARUMUGAM


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https://researchid.co/vijayaprabhu85
Dr. VIJAYAPRABHU ARUMUGAM Currently working as an Associate professor at Siddharth Institute of Engineering and Technology, Puttur, Andhra Pradesh, India. He has over 12 years of experience in the teaching profession in various engineering colleges, and he completed his doctorate at Dr. MGR Educational and Research Institute, Chennai. He completed a Master of Engineering in Power Electronics and Drives at Madha Engineering College, Anna University, Chennai. He completed his Bachelor of Engineering in Electronics and Communication Engineering at SVCET, Anna University, Chennai. His research interests include Embedded Systems and Internet of Things, Wireless Communication, power electronics, power drives, power systems, renewable power systems and communication systems. He has published three books, 30 refereed publications in journals and conferences, and holds Six journal patents. He is also a reviewer for various journals.
Vijayaprabhu85@

EDUCATION

• Dr, MGR Educational and Research Institute, Chennai, January 2018 - June 2023
Ph.D in EEE

• Madha Engineering College, Anna University, Chennai, June 2009 - June 2011
ME in Power Electronics and Drives. (Ist Class)

• Sri Venkateswara College of Engineering and Technology, June 2003 - April 2007
Anna University, Chennai, BE in ECE (Ist Class)

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Biomedical Engineering
10

Scopus Publications

35

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Experimental Evaluation of Cirrhosis Prediction System using Artificial Intelligence enabled Hybrid Deep Learning Methodology
    Subbiah Swaminathan, A. Vijayaprabhu, Divya. M, Rowsonara Begum, T. Beni Steena, et al.
    Proceedings Iceconf 2025 2025 2nd International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering, 2026
  • A Comprehensive Deep Learning Approach for Multi-Style Character Recognition in Vehicle Licence Plate
    B. Ramasubramanian, C. Priya, A. Vijayaprabhu, P. Sudhakaran
    Lecture Notes in Electrical Engineering, 2025
  • Performance Improvement in Video Processing using Quantum Computation
    J.Josephine Pon Gloria, A. Vijayaprabhu, K. J. Subha, M. Anto Bennet, A. Thanam, et al.
    Proceedings 2025 IEEE International Conference on Compute Control Network and Photonics Icccnp 2025, 2025
  • Design of Cloud-Powered Type of Strategies for Management System Used in Drones
    A S Valarmathy, Tushar Bhavsar, E. Arunkumar, Saloni Bansal, R. Velmurugan, et al.
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
    Drones, sometimes referred to as drones that fly (UAVs), are becoming more and more popular as affordable solutions that may support creative business and civic applications in the Internet connected Things (IoT). Even while there is increasing excitement about their potential, there are still intrinsic difficulties that prevent their real-world use. The most significant of these difficulties is the restricted wireless communication range that drones have with ground stations, which limits their ability to effectively control across long distances. Furthermore, low-cost aerial platforms’ limited computing and energy resources make it difficult for them to run resource-intensive programs aboard. Our solution to these limitations is the Dronemap Organizer (DP), a cloud-based drone management platform that is service-oriented and intended to monitor, operate, and interact with drones over the Internet in a smooth and efficient manner. Numerous applications and proof-of-concepts created using DP’s architecture serve as examples of its adaptability. A thorough performance assessment research was carried out using an actual drone in a live monitoring application in order to gauge the effectiveness of DP. The study’s findings support DP’s promise for practical applications by highlighting how well it works to overcome issues with constrained processing power and communication range. In summary, the Dronemap Planner stands out as a ground-breaking solution in the field of UAV administration, especially when it comes to resolving the issues preventing the broad use of inexpensive drones. DP is a monument to the way drone technology is developing and how it is being incorporated into the wider Web of Things ecosystem by smoothly integrating computing capabilities and facilitating communications over the Internet without being limited by geography. By using this creative approach, DP not only demonstrates that it is possible to overcome current obstacles, but it also creates new opportunities for research and development in the area of drone-based applications.
  • A Development of Aquatic Landscape Type of Drones for the Implementation for Future Technology
    J Jayashankari, Satendra Sahu, B Arunkumar, Kanchan Yadav, M Gokilavani, et al.
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
    Cutting-edge, cost-effective hardware components allow the development of vast automated underwater drone systems for marine uses. This talk focuses on the CORATAM along with HANCAD projects, covering key issues in organizing and speaking within networks of underwater drones. Our plan supports a novel approach: (i) adopting eclectic communication by outfitting some drones at long-range electronics while others hold shorter-range devices, and (iii) employing autonomous control for enhanced endurance and scaling. This approach ensures individual drones stay simple and cheap. Currently, we are currently engaged in the process of building 25 test drones using easily available components. The article dives into current hardware creates and the results of simulation-based studies where groups of as many as one thousand underwater drones successfully surveyed a 20 km -long location constantly for 24 hours. The results confirm the practicality of our approach in building a large-scale robotic underwater unmanned aircraft system that is simultaneously efficient and affordable.
  • Enhanced Cyber Logic: A Robust Design of Identity based Encryption Mechanism to Secure Data using Blockchain Technology
    U. Archana, M. Jeyalaxmi, A. Vijayaprabhu, K Dhanalakshmi, Yerramsetti Geetha, et al.
    2024 4th International Conference on Intelligent Technologies Conit 2024, 2024
    Homomorphic encryption stands as a transformative cryptographic technique, enabling computations on encrypted data sans decryption, a critical feature within privacy-preserving blockchain frameworks. Its integration mitigates the inherent security vulnerabilities of traditional blockchains, safeguarding sensitive data from exposure. Through identity-based encryption (IBE), key generation becomes not only secure but also user-friendly, streamlining access control. Smart contracts automate key distribution, bolstering security while dynamic key generation ensures resilience against potential attacks. Storing encrypted data on the blockchain guarantees confidentiality, with selective data sharing mechanisms offering granular control over information dissemination for collaborative purposes. Privacy-preserving transactions, facilitated by homomorphic operations and zero-knowledge proofs, maintain transactional confidentiality. Effective revocation and key renewal mechanisms further enhance the system’s security posture. Scalability and efficiency are significantly bolstered through the adoption of off-chain computations and batch processing strategies.
  • Multi-Functional IoT Robot: Exploring the Evaluation of Robot Operations in Military Applications Using Internet of Things
    A. Vijayaprabhu, R. Sureshkumar, S. Lakshmisridevi, A. Jaya Mabel Rani, Rajalakshmi G, et al.
    2024 IEEE International Conference on Big Data and Machine Learning Icbdml 2024, 2024
    Robotics is the most fascinating and rapidly expanding field of study in the modern period. A robot's ability to sense its surroundings and respond correctly depends on the variety of inputs and outcomes it possesses. Scientists have developed military robots through technological research and development. The outcome was a battlefield where troops' lives were less threatened. Military robots are employed for a variety of dangerous jobs, including monitoring battlegrounds, reducing live bomb explosives, detecting bombs, and shooting at attackers. The detectors, handles, arms, cameras, and motors found on these military robots are all part of an integrated system. A robot may alter its form and personality to suit its job. Robots with complete autonomy are in high demand due to the populace and army's struggles with terrorism and revolution. Countries spend a lot of money trying to find ways to protect their populations against terrorist attacks. In this paper, a novel approach is presented, the Multi-Functional IoT Robot (MFIoTR), which aims to offer users superior robotic assistance. To test the efficacy of this approach, the proposed robot is cross-validated with the more traditional Classical Surveillance Robot (CSR). An autonomous robotic arm is crucial to this system. Every action is monitored by a micro controller. The ROBOT's direction of travel is determined by its motor activity. Using Internet of Things (IoT) technology, the user may interact with this robot. A person can be located using the robot's ultrasonic sensor. Along with other sensors, the military uses the proximity sensor to find land mines. Whenever a sensor detects an activity, the robot stops and sounds an alarm.
  • An automated detection and classification of brain tumor from MRIs using Water Chaotic Fruitfly Optimization (WChFO) based Deep Recurrent Neural Network (DRNN) An automated detection and classification of brain tumor
    Rama Mohan Pasupuleti, Sarvade Pedda Venkata Subba Rao, Prema Kothandan, Samarthi Swapna Rani, Sathees Babu Shanmuganathan, et al.
    Imaging, 2023
    Due to the complexity of the images and dearth of anatomical models, it is highly difficult to accurately represent the various deformations in each component of the medical images. In recent years, a significant number of children and adults have affected from brain tumors, which is one of the most terrible types of disease affects the people around the world. Moreover, the Magnetic Resonance Imaging (MRI) based brain tumor detection is one of a significant study area in the field of medical imaging. Since, the use of computerized methods aids in the detection and treatment of disease by the medical professionals. The development of an automated method for the accurate detection and classification of tumors from brain MRIs. In this framework, a tanh normalization process is used to smooth out the input brain MRIs with less noise artefacts and improved quality. Then, a group feature extraction model is used to extract the relevant features from the normalized image, which includes both Speeded Up Robust Features (SURF) and Grey Level Co-occurrence Matrix (GLCM) features. The Water Chaotic Fruitfly Optimization (WChFO) method is used to identify the best features for increasing the speed of classifier training and testing processes with less time. Moreover, a Deep Recurrent Neural Network (DRNN) model is used to classify the type of brain tumor for accurate early diagnosis and treatment. The most well-known benchmarking datasets, like BRATS and Kaggle, employed for analysis in order to assess the effectiveness and results of the proposed brain tumor diagnosis system. By using the proposed WChFO-DRNN technique, the accuracy of the tumor detection system is increased to 99.2% with the sensitivity, specificity of 99% and time consumption of 0.2s.
  • Design of single switch-boosted voltage current suppressor converter for uninterrupted power supply using green resources integration
    B. Chandramouli, A. Vijayaprabhu, D. Arun Prasad, K. Kathiravan, N. Udhayaraj, et al.
    Electrical Engineering and Electromechanics, 2022
    Introduction. Uninterrupted power supply is the major requirement in the areas since it involves human lives. In the current scenario the demand and price of fossil fuels is increasing rapidly and availability also is not sufficient to the needs, an alternative identification to power generation is solar and wind energies. The purpose of designing an aimed, single switch boosted voltage and current suppressor (SS-BVCS) converter topology that interfaces both the wind and solar hybrid model. The method involves in the proposed chopper converter is derived by simply merging a switch and a pair of diodes and CLC filter which is used in realization of zero voltage switching for the main switch and a reversing diode to extract high voltage gain. The designed SS-BVCS converter topology can able to have a tight self-control on two power-processing paths. The novelty of the SS-BVCS converter module is designed to ensure maximum throughput, feeding to the load with high quality uninterrupted output, by boosting the DC voltage to a required amount and thereby supressing the current. Practical value obtained by the developed model utilizes both the sources for supply to the load individually or combined based on the extraction availability of the feeder. Also, the proposed SS-BVCS module delivers with efficient lesser component count and gaining maximum power from the harvest of green energy.
  • PMSG Wind Turbine Based Current Fed Three Phase Inverter with Model Predictive Control
    Vijayaprabhu. A, Kumaresan. M
    International Journal of Electrical and Electronics Research, 2022
    Design of an improved Permanent Magnet Synchronous Generator (PMSG) wind turbine power based Current Fed Inverter (CFI) using Model Predictive Controller (MPC) is proposed in this paper. Optimum torque control is proposed in wind energy conversion system, MPC is used to adjust the dynamic response time based on the application need. This model deals with torque control strategy of PMSG in the machine side controller. Impact of normal mode of operation by the copper losses and torque ripples are minimized by maximizing the average torque. Synthetization of adequate stator phase current are obtained naturally. Uncertainty of the steady state errors of the plant and parameter error are rectified in the system model. The designed CFI with MPC was implemented using medium range wind turbine in MATLAB /Simulink. The simulation output shows the better efficiency in over modulation region by the proposed CFI with controller. Constant switching frequency is maintained and efficient required dynamic response (DR) value is attained.

RECENT SCHOLAR PUBLICATIONS

  • Experimental Evaluation of Cirrhosis Prediction System using Artificial Intelligence enabled Hybrid Deep Learning Methodology
    S Swaminathan, A Vijayaprabhu, R Begum, TB Steena, R Rajalakshmi
    2025 2nd International Conference on Artificial Intelligence and Knowledge … , 2025
    2025
  • Performance Improvement in Video Processing using Quantum Computation
    JJP Gloria, A Vijayaprabhu, KJ Subha, MA Bennet, A Thanam, ...
    2025 IEEE International Conference on Compute, Control, Network & Photonics … , 2025
    2025
  • Enhanced cyber logic: A robust design of identity based encryption mechanism to secure data using blockchain technology
    U Archana, M Jeyalaxmi, A Vijayaprabhu, K Dhanalakshmi, Y Geetha, ...
    2024 4th International Conference on Intelligent Technologies (CONIT), 1-5 , 2024
    2024
    Citations: 1
  • Design of Cloud-Powered Type of Strategies for Management System Used in Drones
    AS Valarmathy, T Bhavsar, E Arunkumar, S Bansal, R Velmurugan, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
  • A Development of Aquatic Landscape Type of Drones for the Implementation for Future Technology
    J Jayashankari, S Sahu, B Arunkumar, K Yadav, M Gokilavani, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
    Citations: 1
  • Plant Leaf Disease Detection and Classification Using Deep Learning
    PBP A. Vijaya Prabhu, R.Bhavya, G.Bhavya, K. Charan Kumar Raju, N. Chandra ...
    International Journal of Scientific Research in Science and Technology 11 … , 2024
    2024
  • Multi-Functional IoT Robot: Exploring the Evaluation of Robot Operations in Military Applications Using Internet of Things
    A Vijayaprabhu, R Sureshkumar, S Lakshmisridevi, AJM Rani, S Jayasree
    2024 IEEE International Conference on Big Data & Machine Learning (ICBDML … , 2024
    2024
    Citations: 8
  • An automated detection and classification of brain tumor from MRIs using Water Chaotic Fruitfly Optimization (WChFO) based Deep Recurrent Neural Network (DRNN)
    RM Pasupuleti, SPV Subba Rao, P Kothandan, S Swapna Rani, ...
    Imaging 15 (2), 73-86 , 2023
    2023
    Citations: 2
  • A Comprehensive Deep Learning Approach for Multi-Style Character Recognition in Vehicle Licence Plate
    B Ramasubramanian, C Priya, A Vijayaprabhu, P Sudhakaran
    International EdTech Conference, 171-179 , 2023
    2023
  • Mitigating Renewable Energy Using Smart Grid Technology
    A Vijayaprabhu
    3rd International Conference On Emerging Trends in Science and circuit … , 2023
    2023
  • Implementation of Smart Vehicle Charging Station Identification Based on IOT
    A Vijayaprabhu, P Saranya, MDA Priya, G Priyanka
    Journal of Remote Sensing GIS & Technology, 34-40 , 2023
    2023
  • A Smart Vehicle Charging Station Identification Based On IOT with Hybrid Grey Wolf-Bat Optimization Enriched On Artificial Neural Networks Recognition Methods
    V Arumugam
    Qeios , 2023
    2023
  • Artificial intelligence based automatic prediction and prevention of gastric cancer and lung cancer using image processing and deep learning algorithms
    JVMNGAGSBILDMPNDRRNAMDSKNAVDM Kathirvelu
    IN Patent App. 202,341,015,361 , 2023
    2023
  • DETECTION OF MENTAL FATIGUE IN DRIVERS USING EEG APPLICATIONS
    VA Dr. R. Kishore Kanna1, Dr R Gomalavalli*2, Dr. C. Priya3, Dr. P. Sathees ...
    Journal of Data Acquisition and Processing ISSN: 1004-9037 38 (1), 343-353 , 2023
    2023
  • TRACKING AND CONTROLLING OF TRANSPORTATION VEHICLES
    MRBRBDRPGKDREKJRPAPSDREKDRRRDRCPA VIJAYAPRABHU
    IN Patent 43/2022 Dated 28/10/2,022 , 2022
    2022
  • A Platform for Managing Devices and Applications on the Internet of Things, With Maniot
    MKNMVRRDDBDSJPMPPDRLDMYADASMSEKMMCMAVDJ Anand
    IN Patent The Patent Office Journal No. 28/2022 Dated 15/07/2022 Page no. 44,336 , 2022
    2022
  • PMSG Wind Turbine Based Current Fed Three Phase Inverter with Model Predictive Control https://ijeer.forexjournal.co.in/archive/volume-10/ijeer-100238.html
    VAKM 2
    International Journal of Electrical and Electronics Research (IJEER) 10 (2 … , 2022
    2022
  • HYBRID STORAGE ARCHITECTURE FOR IOT
    DSKDPNEGMJMKDMNVMAVMAZDCBBMNMJLECMJTSDJ Anand
    IN Patent The Patent Office Journal No. 24/2022 Dated 17/06/2,022 , 2022
    2022
  • Using of Clock Gating Technique for Power Dissipation Reduction in Sequential Circuits
    MM A. Vijayaprabhu, Vijayaraghavan N, Anushya Devi
    International Journal of VLSI Design and Technology 7 (2), Journal DOI No … , 2022
    2022
  • A. Vijaya prabhu, D. Arun Prasad, K. Kathiravan, N. Udhayaraj, and M. Vijayasanthi,“Design of single switch-boosted voltage current suppressor converter for uninterrupted power …
    B Chandramouli
    Electrical Engineering and Electromechanics 5, 31-35 , 2022
    2022
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Review and comparison of various types of generation using WECS topologies
    A Vijayaprabhu, KB Bhaskar, D Jasmine Susila, M Dinesh
    IOP conference series: materials science and engineering 1177 (1), 012004 , 2021
    2021
    Citations: 14
  • Multi-Functional IoT Robot: Exploring the Evaluation of Robot Operations in Military Applications Using Internet of Things
    A Vijayaprabhu, R Sureshkumar, S Lakshmisridevi, AJM Rani, S Jayasree
    2024 IEEE International Conference on Big Data & Machine Learning (ICBDML … , 2024
    2024
    Citations: 8
  • Design of single switch-boosted voltage current suppressor converter for uninterrupted power supply using green resources integration
    B Chandramouli, A Vijayaprabhu, D Arun Prasad, K Kathiravan, ...
    Національний технічний університет" Харківський політехнічний інститут" , 2022
    2022
    Citations: 6
  • An automated detection and classification of brain tumor from MRIs using Water Chaotic Fruitfly Optimization (WChFO) based Deep Recurrent Neural Network (DRNN)
    RM Pasupuleti, SPV Subba Rao, P Kothandan, S Swapna Rani, ...
    Imaging 15 (2), 73-86 , 2023
    2023
    Citations: 2
  • A. Vijaya prabhu, D. Arun Prasad, K. Kathiravan, N. Udhayaraj, and M. Vijayasanthi,“Design of single switch-boosted voltage current suppressor converter for uninterrupted power …
    B Chandramouli
    Electrical Engineering and Electromechanics 5, 31-35 , 2022
    2022
    Citations: 2
  • Enhanced cyber logic: A robust design of identity based encryption mechanism to secure data using blockchain technology
    U Archana, M Jeyalaxmi, A Vijayaprabhu, K Dhanalakshmi, Y Geetha, ...
    2024 4th International Conference on Intelligent Technologies (CONIT), 1-5 , 2024
    2024
    Citations: 1
  • A Development of Aquatic Landscape Type of Drones for the Implementation for Future Technology
    J Jayashankari, S Sahu, B Arunkumar, K Yadav, M Gokilavani, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
    Citations: 1
  • Design and Implementation of Energy Efficient and High Throughput Vedic Multiplier
    A Akilavathi, A VijayaPrabhu
    Published in , 2016
    2016
    Citations: 1
  • Experimental Evaluation of Cirrhosis Prediction System using Artificial Intelligence enabled Hybrid Deep Learning Methodology
    S Swaminathan, A Vijayaprabhu, R Begum, TB Steena, R Rajalakshmi
    2025 2nd International Conference on Artificial Intelligence and Knowledge … , 2025
    2025
  • Performance Improvement in Video Processing using Quantum Computation
    JJP Gloria, A Vijayaprabhu, KJ Subha, MA Bennet, A Thanam, ...
    2025 IEEE International Conference on Compute, Control, Network & Photonics … , 2025
    2025
  • Design of Cloud-Powered Type of Strategies for Management System Used in Drones
    AS Valarmathy, T Bhavsar, E Arunkumar, S Bansal, R Velmurugan, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
  • Plant Leaf Disease Detection and Classification Using Deep Learning
    PBP A. Vijaya Prabhu, R.Bhavya, G.Bhavya, K. Charan Kumar Raju, N. Chandra ...
    International Journal of Scientific Research in Science and Technology 11 … , 2024
    2024
  • A Comprehensive Deep Learning Approach for Multi-Style Character Recognition in Vehicle Licence Plate
    B Ramasubramanian, C Priya, A Vijayaprabhu, P Sudhakaran
    International EdTech Conference, 171-179 , 2023
    2023
  • Mitigating Renewable Energy Using Smart Grid Technology
    A Vijayaprabhu
    3rd International Conference On Emerging Trends in Science and circuit … , 2023
    2023
  • Implementation of Smart Vehicle Charging Station Identification Based on IOT
    A Vijayaprabhu, P Saranya, MDA Priya, G Priyanka
    Journal of Remote Sensing GIS & Technology, 34-40 , 2023
    2023
  • A Smart Vehicle Charging Station Identification Based On IOT with Hybrid Grey Wolf-Bat Optimization Enriched On Artificial Neural Networks Recognition Methods
    V Arumugam
    Qeios , 2023
    2023
  • Artificial intelligence based automatic prediction and prevention of gastric cancer and lung cancer using image processing and deep learning algorithms
    JVMNGAGSBILDMPNDRRNAMDSKNAVDM Kathirvelu
    IN Patent App. 202,341,015,361 , 2023
    2023
  • DETECTION OF MENTAL FATIGUE IN DRIVERS USING EEG APPLICATIONS
    VA Dr. R. Kishore Kanna1, Dr R Gomalavalli*2, Dr. C. Priya3, Dr. P. Sathees ...
    Journal of Data Acquisition and Processing ISSN: 1004-9037 38 (1), 343-353 , 2023
    2023
  • TRACKING AND CONTROLLING OF TRANSPORTATION VEHICLES
    MRBRBDRPGKDREKJRPAPSDREKDRRRDRCPA VIJAYAPRABHU
    IN Patent 43/2022 Dated 28/10/2,022 , 2022
    2022
  • A Platform for Managing Devices and Applications on the Internet of Things, With Maniot
    MKNMVRRDDBDSJPMPPDRLDMYADASMSEKMMCMAVDJ Anand
    IN Patent The Patent Office Journal No. 28/2022 Dated 15/07/2022 Page no. 44,336 , 2022
    2022