Vijay Ramalingam

@sathyabama.ac.in

Assistant Professor
Sathyabama Institute of Science and Technology

Vijay Ramalingam


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https://researchid.co/vijayrscs

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Human-Computer Interaction
22

Scopus Publications

99

Scholar Citations

5

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Dark web crawler
    D. Saravanan, Madhuri Madala, Manjunath Shivapuram, Vijay Ramalingam
    Aip Conference Proceedings, 2025
  • NeuroPark Guide: Cutting-Edge AI for Parking Solutions
    Anil Baikani, Nikith Bala, Vijay Ramalingam
    2025 3rd International Conference on Communication Security and Artificial Intelligence Iccsai 2025, 2025
    Efficient parking management is complex in urban places and leads to traffic, waste of resources and environmental issues. In this paper, we present NeuroPark Guide, an AI-driven parking management system that helps optimise parking space allocation, improves user convenience, and reduces environmental impact. With advanced machine learning algorithms, Internet of Things (IoT) sensors and dynamic pricing mechanisms, NeuroPark Guide streams accurate time parking space availability, predictive analytics in real-time, and eco-friendly routing options for its users. The system is scalable and integrated with cloud-based platforms, and the probability of user interaction via mobile applications is also tiny. NeuroPark Guide addresses the inefficiencies of classic parking systems while improving parking usage, traffic flow, and user satisfaction. In this work, while demonstrating the transformative AI that could be enabled in urban infrastructure, we lay the basis for futuristic innovative city implementations.
  • Challenges future trends and research direction in FL methods
    Energy Optimization and Security in Federated Learning for Iot Environments, 2025
  • Energy-efficient federated learning
    Energy Optimization and Security in Federated Learning for Iot Environments, 2025
  • Optimization Techniques for Predictive Maintenance in Industry 4.0
    Arul Prakash A., S. Vignesh, Rahin Batcha R., D. Saravanan, Vijay Ramalingam
    Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4 0, 2025
    In Industry 4.0, “intelligent factories” collect and analyze data to keep tabs on the production process. Machine learning, data mining, and other statistical AI technologies can identify and forecast possible manufacturing procedure abnormalities, improving productivity and dependability. Nevertheless, the information retrieved from manufacturing information is sometimes presented in a complex structure due to the heterogeneous nature of the data. This puts up the semantic gap problem, which is shorthand for the reality that various production systems are incompatible. In addition, a unified knowledge model of physical assets and the ability to think in real time about analytical activities are essential for automating the decision-making process of Computerized Physical Systems (CPS), which are growing more data-intensive. Using symbolic AI in predictive maintenance could be a promising solution to these problems. Through numerous examinations, predictive upkeep offers a comprehensive review of the identification, localization, and identification of malfunctions in associated machinery. RAMI4.0 provides a structure to analyze the several initiatives that comprise Industry 4.0. The hierarchical structure, functional classification, and product life cycle are all encompassed. The Corporate Data Space, currently known as the International Data Space, is an online database that allows for the safe transfer and simple linking of data between corporate ecosystems using shared standards and governance frameworks. It guarantees data owners' online privacy while laying the groundwork for developing and using intelligent services and novel business procedures. In light of Industry 4.0, this article investigates potential ways to bolster maintenance prediction. Data exchange between businesses with varying security needs and the subsequent modularization of relevant functions are outcomes of implementing the RAMI 4.0 architecture, which facilitates predictive maintenance utilizing the FIWARE framework.
  • Precision Agriculture with Wireless Sensor Networks Using a Hybrid K-Means-DNN Model for Efficient Irrigation
    C. L. Monica, S. Padma Devi, Vijay Ramalingam, Sneha Kumara, Senthil Kumar D, Mathur Nadarajan Kathiravan
    Proceedings of 2025 1st International Conference on Radio Frequency Communication and Networks Rfcon 2025, 2025
    Numerous disciplines, including agriculture, engineering, and science, now depend on WSN. WSN technology is highly beneficial for precision agriculture, as it monitors soil moisture, temperature, humidity, and pH levels to enhance crop yield and quality. The cornerstone of a WSN is the sensor node, which facilitates the detection, collection, and transmission of data with little infrastructure. This study's findings suggest that a fusion technique can be executed by initially cleansing and modifying the data, followed by feature extraction utilizing the shape feature extraction method. The subsequent phase involves implementing an enhanced model for PA forecasting grounded in Kmeans-DNN. This model use Kmeans for feature selection to enhance prediction accuracy. Of the models evaluated on the Crop Recommendation datasets, the Kmeans-DNN model attained the greatest accuracy rate of 96.52%. This indicates that, compared to other models, K-means-based feature selection significantly improves prediction tasks. The study demonstrates that employing sophisticated machine learning techniques to integrate Wireless Sensor Networks with Predictive Analytics is effective. The Kmeans-DNN model, with its remarkable precision, has the potential to transform agricultural decision-making, resulting in enhanced crop yields and improved soil management.
  • Machine learning techniques for heart disease detection using E-Health monitoring system
    Vijay Ramalingam, T. Ragupathi, A. Arul Prakash, S. Vignesh, R. Rahin Batcha, D. Saravanan
    Online Social Networks in Business Frameworks, 2024
    The greatest incidence of coronary artery disease (CAD) is seen in the United States. This medical condition arises when extra fat lodges in the body's arteries and veins, impairing circulation. The heart's internal organs and heart itself do not get enough oxygen when blood flow into the heart is limited. Angina pectoris is the term for the condition in which the heart hurts from inadequate blood flow. If this is happening to you, there is a serious problem with your heart. Heart disease accounts for one death out of every five in India. Over the last several decades, heart disease has become the leading cause of death in the United States, surpassing all other causes. It is more difficult for medical experts to offer a timely and correct diagnosis due to several important hurdles. This article examines several machine learning algorithms for the purpose of identifying cardiac disease. The studies’ findings indicate that the SVM algorithm is the most effective in identifying cardiac issues.
  • A hybrid method for image encryption using lagrange's interpolation
    S. Vignesh, R. Rahin Batcha, D. Saravanan, Vijay Ramalingam, T. Ragupathi, A. Arul Prakash
    Online Social Networks in Business Frameworks, 2024
    Most engineering, military, and medical operations use images to store data. Illicit users have a high probability of recovering and making public these photographs. Additionally, images are valuable tools for interpreting useful meaning. As a result, it's critical to safeguard digital content against illegal use. However, these textual data-friendly techniques are among the numerous accessible encryption algorithms. Image encryption uses the RSA algorithm for enhanced security. It's impossible to see the difference between a decrypted picture and the original, therefore no one can figure it out without the secret key. As a result, this method employs the RSA cryptosystem to encrypt photos in a safe and robust manner. Cheaters up to k-1 may be detected using Lagrange interpolation in the proposed approach.
  • A review of various applications of Internet of Things with related security issues and challenges
    T. Ragupathi, A. Arul Prakash, S. Vignesh, R. Rahin Batcha, D. Saravanan, Vijay Ramalingam, K. P. Yuvaraj
    Online Social Networks in Business Frameworks, 2024
    The Internet of Things (IoT) is an initiative that aims to build a global network of objects or things that can communicate with one another and will play an important part in the development of the future internet. Things of this nature will be able to be read, recognized, located, addressed, and controlled through the use of the internet. Trust in the Internet of Things’ (IoT) security architecture is necessary for widespread adoption of the Internet of Things among consumers and business professionals. It is of the utmost importance to describe how the Internet of Devices things could communicate with one another and with remote servers in an effective and safe manner in order to share information. The Internet of Things introduces new privacy and security concerns that need to be taken into account during the design phase of security solutions. The heterogeneous nature of IoT communications and the disparity in the capabilities of resources between IoT devices make it difficult to provide the necessary end-to-end secured connections. Because the majority of IoT devices have limited capabilities in terms of computing power, energy consumption, and memory, the potential choices of security solutions are restricted. This is because many well-established security techniques cannot be supported by low capable devices. This article presents review of various applications of internet of things with related security issues and challenges.
  • Privacy preservation in online social networks
    Arul Prakash, S. Vignesh, R. Rahin Batcha, D. Saravanan, Vijay Ramalingam, T. Ragupathi, Meenakshi
    Online Social Networks in Business Frameworks, 2024
    Online social networks (OSNs) are crucial platforms that connect people and provide real-time elements, such as news, opinions, and data, in the online world. A significant influx of recent material has been retrieved in this era of social media by individuals with divergent viewpoints. Moreover, if the essential data transfer takes place on Online Social Networks (OSNs), there is a risk of disseminating rumor or inaccurate information. Consequently, individuals will be diverted from the actual essence and more inclined to accept hearsay, resulting in a greater harmful effect on society at large. Hence, in the contemporary era, the essential study material entails a comprehensive understanding of space and its corresponding location. Privacy protection is essential since social interaction shapes latent personalities. A profile and information similar to what is displayed on social media are examples of acquired user data. The detection accuracy is the main indicator used to assess how well spam is detected in online social networks. It has proved to be a challenging task to handle security and privacy issues in OSNs in order to mitigate the potential threat presented by data breaches. Inappropriate sharing and linkage of personal data is one complex effect of OSNs. Users may maintain their privacy since they can share information with the OSN in a controlled way. Users may limit who has access to their data by configuring the access control policy that is provided by OSNs. This chapter provides a detailed investigation of various security issues and privacy preservation frameworks for online social network.
  • Various threats and attacks on online social networks and their counter measures
    D. Saravanan, Vijay Ramalingam, T. Ragupathi, Arul Prakash, S. Vignesh, R. Rahin Batcha, M. Belsam Jeba Ananth, Meenakshi
    Online Social Networks in Business Frameworks, 2024
  • Spammer detection in online social networks
    R. Rahin Batcha, D. Saravanan, Vijay Ramalingam, T. Ragupathi, A. Arul Prakash, S. Vignesh, M. Belsam Jeba Ananth, K. Arumugam
    Online Social Networks in Business Frameworks, 2024
  • Balancing data privacy and sharing in IIoT: Introducing the GFL-LFF aggregation algorithm
    R. Regan, R. Josphineleela, Mohammad Khamruddin, R. Vijay
    Computer Networks, 2024
  • Fork-Hook encryption policy based secured Data Centric Routing Gateway for proactive trust ware data transmission in WBSN
    Vijay Ramalingam, R. Saminathan, K.M. Baalamurugan
    Measurement Sensors, 2023
  • Enhancing Human Action Recognition through advanced Motion Descriptors and Machine Learning
    Vijay Ramalingam, D Saravanan, S. Vignesh, Rahin Batcha R
    2023 1st International Conference on Optimization Techniques for Learning Icotl 2023 Proceedings, 2023
  • Arduino Uno-Powered Parking Guidance System with Ultrasonic Sensors
    Subathra, Arul Prakash A, Vijay Ramalingam, S. Vignesh
    2023 1st International Conference on Optimization Techniques for Learning Icotl 2023 Proceedings, 2023
  • Wireless IoT Gas and Smoke Detection System with ESP8266 and Blynk Integration
    Arul Prakash A, Subathra, Rahin Batcha R, Vijay Ramalingam, G ArunKumar
    2023 1st International Conference on Optimization Techniques for Learning Icotl 2023 Proceedings, 2023
  • Retraction:A novel approach for brain tumor detection by self-organizing map (SOM) using adaptive network based fuzzy inference system (ANFIS) for robotic systems
    K.M. Baalamurugan, Priyamvada Singh, Vijay Ramalingam
    International Journal of Intelligent Unmanned Systems, 2022
  • Distributed Computing in Blockchain Technology
    Vijay Ramalingam, Dineshbabu Mariappan, S. Premkumar, C. Ramesh Kumar
    Eai Springer Innovations in Communication and Computing, 2022
  • Energy aware clustering with multihop routing algorithm for wireless sensor networks
    A. Daniel, K.M. Balamurugan, R. Vijay, KP Arjun
    Intelligent Automation and Soft Computing, 2021
  • Energy Reliance (ER) Based Co-Operative Gaming (COG) Model for Connectivity Establishment in WSNS
    Dineshbabu Mariappan, Vijay Ramalingam, Ramesh Kumar
    Proceedings IEEE 2020 2nd International Conference on Advances in Computing Communication Control and Networking Icacccn 2020, 2020
  • A novel survey on intrusion detection system and intrusion prevention system
    International Journal of Scientific and Technology Research, 2019

RECENT SCHOLAR PUBLICATIONS

  • Integration of Generative AI and Computer Vision in the Retail Market to Reshape the Industry Dynamics
    A Ravisankar, D Saravanan, R Rajesh, V Ramalingam, P Singh, U Palani
    Embracing the Digital Horizon: Advanced AI and Intelligent Systems for … , 2026
    2026
  • Al Effect on Employment Sustainability
    E Hymavathi, NK Rajagopal, S Vignesh, V Ramalingam, R Parthiban, ...
    Embracing the Digital Horizon: Advanced AI and Intelligent Systems for … , 2026
    2026
  • Optimization Techniques for Predictive Maintenance in Industry 4.0
    S Vignesh, D Saravanan, V Ramalingam
    Data Analytics and Artificial Intelligence for Predictive Maintenance in … , 2025
    2025
  • Dark web crawler
    D Saravanan, M Madala, M Shivapuram, V Ramalingam
    AIP Conference Proceedings 3257 (1), 020169 , 2025
    2025
  • Precision Agriculture with Wireless Sensor Networks Using a Hybrid K-Means-DNN Model for Efficient Irrigation
    CL Monica, SP Devi, V Ramalingam, S Kumara, MN Kathiravan
    2025 1st International Conference on Radio Frequency Communication and … , 2025
    2025
  • NeuroPark Guide: Cutting-Edge AI for Parking Solutions
    A Baikani, N Bala, V Ramalingam
    2025 3rd International Conference on Communication, Security, and Artificial … , 2025
    2025
  • Various Threats and Attacks on Online Social Networks and Their Counter Measures
    D Saravanan, V Ramalingam, T Ragupathi, A Prakash, S Vignesh, ...
    Online Social Networks in Business Frameworks, 551-565 , 2024
    2024
  • Privacy Preservation in Online Social Networks
    A Prakash, S Vignesh, R Rahin Batcha, D Saravanan, V Ramalingam, ...
    Online Social Networks in Business Frameworks, 625-639 , 2024
    2024
  • A Hybrid Method for Image Encryption Using Lagrange's Interpolation
    S Vignesh, R Rahin Batcha, D Saravanan, V Ramalingam, T Ragupathi, ...
    Online Social Networks in Business Frameworks, 653-660 , 2024
    2024
  • Machine Learning Techniques for Heart Disease Detection using E‐Health Monitoring System
    V Ramalingam, T Ragupathi, A Arul Prakash, S Vignesh, R Rahin Batcha, ...
    Online Social Networks in Business Frameworks, 641-651 , 2024
    2024
  • A Review of Various Applications of Internet of Things with Related Security Issues and Challenges
    T Ragupathi, A Arul Prakash, S Vignesh, R Rahin Batcha, D Saravanan, ...
    Online Social Networks in Business Frameworks, 355-370 , 2024
    2024
    Citations: 1
  • Spammer Detection in Online Social Networks
    R Rahin Batcha, D Saravanan, V Ramalingam, T Ragupathi, ...
    Online Social Networks in Business Frameworks, 337-353 , 2024
    2024
  • A Novel IoT Based Environmental Monitoring System Integrating Machine Learning Under the Background of Big Data
    D Saravanan, V Ramalingam, R Parthiban, M Sharmad
    Advancing Sustainable Science and Technology for a Resilient Future, 16-19 , 2024
    2024
  • Balancing data privacy and sharing in IIoT: Introducing the GFL-LFF aggregation algorithm
    R Regan, R Josphineleela, M Khamruddin, R Vijay
    Computer Networks 247, 110401 , 2024
    2024
    Citations: 12
  • Wireless IoT Gas and Smoke Detection System with ESP8266 and Blynk Integration
    V Ramalingam, G ArunKumar
    2023 1st International Conference on Optimization Techniques for Learning … , 2023
    2023
    Citations: 1
  • Enhancing Human Action Recognition through advanced Motion Descriptors and Machine Learning
    V Ramalingam, D Saravanan, S Vignesh
    2023 1st International Conference on Optimization Techniques for Learning … , 2023
    2023
  • Arduino Uno-Powered Parking Guidance System with Ultrasonic Sensors
    V Ramalingam, S Vignesh
    2023 1st International Conference on Optimization Techniques for Learning … , 2023
    2023
    Citations: 3
  • Fork-Hook encryption policy based secured Data Centric Routing Gateway for proactive trust ware data transmission in WBSN
    V Ramalingam, R Saminathan, KM Baalamurugan
    Measurement: Sensors 27, 100760 , 2023
    2023
    Citations: 9
  • An Efficient and Secure Routing System for Wireless Body Sensor Networks In E-Healthcare
    DKMB Vijay R, Dr. R. Saminathan
    Journal of Data Acquisition and Processing 38 (3), 6984-6989 . , 2023
    2023
  • A novel approach for brain tumor detection by self-organizing map (SOM) using adaptive network based fuzzy inference system (ANFIS) for robotic systems
    KM Baalamurugan, P Singh, V Ramalingam
    International Journal of Intelligent Unmanned Systems 10 (1), 98-116 , 2022
    2022
    Citations: 17

MOST CITED SCHOLAR PUBLICATIONS

  • Energy Aware Clustering with Multihop Routing Algorithm for Wireless Sensor Networks
    A Daniel, KM Balamurugan, V Ramalingam, KP Arjun
    INTELLIGENT AUTOMATION AND SOFT COMPUTING 29 (1), 233-246 , 2021
    2021
    Citations: 38
  • A novel approach for brain tumor detection by self-organizing map (SOM) using adaptive network based fuzzy inference system (ANFIS) for robotic systems
    KM Baalamurugan, P Singh, V Ramalingam
    International Journal of Intelligent Unmanned Systems 10 (1), 98-116 , 2022
    2022
    Citations: 17
  • Balancing data privacy and sharing in IIoT: Introducing the GFL-LFF aggregation algorithm
    R Regan, R Josphineleela, M Khamruddin, R Vijay
    Computer Networks 247, 110401 , 2024
    2024
    Citations: 12
  • Fork-Hook encryption policy based secured Data Centric Routing Gateway for proactive trust ware data transmission in WBSN
    V Ramalingam, R Saminathan, KM Baalamurugan
    Measurement: Sensors 27, 100760 , 2023
    2023
    Citations: 9
  • An effective social internet of things (SIoT) model for malicious node detection in wireless sensor networks
    V Ramalingam, DB Mariappan, R Gopal, KM Baalamurugan
    Artificial intelligence techniques in IoT sensor networks, 181-195 , 2020
    2020
    Citations: 7
  • Energy Reliance (ER) Based Co-Operative Gaming (COG) Model for Connectivity Establishment in WSNS
    D Mariappan, V Ramalingam, R Kumar
    2020 2nd International Conference on Advances in Computing, Communication … , 2020
    2020
    Citations: 5
  • Arduino Uno-Powered Parking Guidance System with Ultrasonic Sensors
    V Ramalingam, S Vignesh
    2023 1st International Conference on Optimization Techniques for Learning … , 2023
    2023
    Citations: 3
  • Distributed Computing in Blockchain Technology
    V Ramalingam, D Mariappan, S Premkumar, C Ramesh Kumar
    Blockchain Security in Cloud Computing, 51-79 , 2021
    2021
    Citations: 3
  • An Energy-Efficient Quasi-Oppositional Krill Herd Algorithm-Based Clustering Protocol for Internet of Things Sensor Networks
    KM Baalamurugan, R Gopal, D Vinotha, A Daniel, V Ramalingam
    Artificial Intelligence Techniques in IoT Sensor Networks, 167-179 , 2020
    2020
    Citations: 3
  • A Review of Various Applications of Internet of Things with Related Security Issues and Challenges
    T Ragupathi, A Arul Prakash, S Vignesh, R Rahin Batcha, D Saravanan, ...
    Online Social Networks in Business Frameworks, 355-370 , 2024
    2024
    Citations: 1
  • Wireless IoT Gas and Smoke Detection System with ESP8266 and Blynk Integration
    V Ramalingam, G ArunKumar
    2023 1st International Conference on Optimization Techniques for Learning … , 2023
    2023
    Citations: 1
  • Integration of Generative AI and Computer Vision in the Retail Market to Reshape the Industry Dynamics
    A Ravisankar, D Saravanan, R Rajesh, V Ramalingam, P Singh, U Palani
    Embracing the Digital Horizon: Advanced AI and Intelligent Systems for … , 2026
    2026
  • Al Effect on Employment Sustainability
    E Hymavathi, NK Rajagopal, S Vignesh, V Ramalingam, R Parthiban, ...
    Embracing the Digital Horizon: Advanced AI and Intelligent Systems for … , 2026
    2026
  • Optimization Techniques for Predictive Maintenance in Industry 4.0
    S Vignesh, D Saravanan, V Ramalingam
    Data Analytics and Artificial Intelligence for Predictive Maintenance in … , 2025
    2025
  • Dark web crawler
    D Saravanan, M Madala, M Shivapuram, V Ramalingam
    AIP Conference Proceedings 3257 (1), 020169 , 2025
    2025
  • Precision Agriculture with Wireless Sensor Networks Using a Hybrid K-Means-DNN Model for Efficient Irrigation
    CL Monica, SP Devi, V Ramalingam, S Kumara, MN Kathiravan
    2025 1st International Conference on Radio Frequency Communication and … , 2025
    2025
  • NeuroPark Guide: Cutting-Edge AI for Parking Solutions
    A Baikani, N Bala, V Ramalingam
    2025 3rd International Conference on Communication, Security, and Artificial … , 2025
    2025
  • Various Threats and Attacks on Online Social Networks and Their Counter Measures
    D Saravanan, V Ramalingam, T Ragupathi, A Prakash, S Vignesh, ...
    Online Social Networks in Business Frameworks, 551-565 , 2024
    2024
  • Privacy Preservation in Online Social Networks
    A Prakash, S Vignesh, R Rahin Batcha, D Saravanan, V Ramalingam, ...
    Online Social Networks in Business Frameworks, 625-639 , 2024
    2024
  • A Hybrid Method for Image Encryption Using Lagrange's Interpolation
    S Vignesh, R Rahin Batcha, D Saravanan, V Ramalingam, T Ragupathi, ...
    Online Social Networks in Business Frameworks, 653-660 , 2024
    2024