Anandkumar Vellaichamy

@skcet.ac.in

Professor, Department of Information Technology
Sri Krishna College of Engineering and Technology

Anandkumar Vellaichamy


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https://researchid.co/anandme2001

RESEARCH INTERESTS

ADHOC Networks, MANET, IOT, Machine Learning
11

Scopus Publications

79

Scholar Citations

5

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • WellNex: AI Based Fitness Tracking Application
    Anerud Thiyagarajan, Keerthika T, G.Vijaya, Anandkumar V
    2025 Global Conference on Information Technology and Communication Networks Gitcon 2025, 2025
    This presents introduces a versatile mobile application focused on fitness and nutrition. The application incorporates several important yet essential features such as an AI-driven chatbot that is tailored to give fitness and nutrition related responses, a workout planning tool, a progress tracker, and a streak and rest based calendar system to boost user engagement. Developed using React Native, the application ensures smooth functionality and offers an intuitive experience through a combination of dynamic visualization and conversational interactions. On the backend by linking with external APIs to provide thorough meal plans and training schedules, FastAPI enables the efficient extraction of relevant nutritional and fitness data from user requests. Additionally, recommendations are tailored and targeted by machine learning algorithms that assess user progress to predict future performance, including potential strength growth. Data persistence is guaranteed by Appwrite, and local caching is made possible using AsyncStorage to save user information and chat history across sessions. The system’s potential as a scalable digital assistant for managing fitness and wellbeing is highlighted by performance evaluations, which show that it delivers accurate, timely, and context-aware information.
  • Applying Transformer-Based Models for Early Detection of Parkinson's Disease
    Dileep Pulugu, U. Hemavathi, Madhuri Thimmapuram, Anandkumar V, M. Vidhyasree, Methily Johri
    2025 3rd International Conference on Iot Communication and Automation Technology Icicat 2025, 2025
  • Detection Methods for Jamming and Spoofing Attacks in IoT Systems
    S.Dinakar Raj, M.S.Nidhya, L. Jayanthi, Kamalakar Ramineni, V.Anandkumar, Balajee Maram
    Proceedings of 5th International Conference on Soft Computing for Security Applications Icscsa 2025, 2025
    With the increasing deployment of Internet of Things (IoT) and wireless communication systems, the threats posed by jamming and spoofing attacks have become a significant concern. Various detection methodologies have been proposed to mitigate these threats, each with distinct characteristics in terms of complexity, limitations, and efficiency. This study compares five primary detection approaches: signal analysis methodologies, statistical model methodologies, machine learning-based methodologies, blockchain-based methodologies, and hybrid methodologies. Signal analysis methods offer real-time detection but suffer from high computational overhead. Statistical models provide a balance between efficiency and complexity but may struggle with dynamic attack patterns. Machine learning-based techniques demonstrate high adaptability and accuracy; however, they require extensive training data and computational resources. Blockchain-based approaches enhance security through decentralization but introduce latency and scalability challenges. Hybrid methodologies integrate multiple approaches to optimize detection performance while mitigating individual limitations. This comparative analysis provides insights into selecting appropriate detection mechanisms based on specific application requirements and resource constraints.
  • Reliable and Secure System Design for IoT enabled E-Healthcare Services for Patient Monitoring
    Anandkumar Vellaichamy, Kalaiarasan, A. M. Ratheeshkumar
    Aip Conference Proceedings, 2024
    Healthcare is one of the most essential applications of the Internet of Things, as it allows for a variety of medical applications, such as mobile and remote health monitoring. Recent improvements in information and communication technology, as well as embedded systems, have resulted in a new technology: the Internet of Things (IoT). The Internet of Things (IoT) is a new paradigm that is rapidly spreading in the field of modern wireless telecommunications. Based on the status of the monitored patients, intelligent algorithms analyze their health data in real time to discover particular patterns and increase several degrees of training, such as normal, cautious, emergency, and so on. The Internet of Things (IoT) has great promise for healthcare, particularly for proactive personal e-health. Major hurdles must be addressed in order to deliver on its promises, particularly in terms of confidentiality and security. This study investigates these difficulties, presents use cases, and enhances the framework for a safe architecture. We conclude this essay with a discussion of the current situation of the various standard organizations because we believe they will play an essential role at the forefront of e-health.
  • An IoT Based Reinforced Secured Data Transmission in Artificial Intelligence
    A. M. Ratheeshkumar, V. Anandkumar, K. N. Sivabalan, T. R. Kalaiarasan
    Aip Conference Proceedings, 2024
    Internet of things is well-developing technology in the modern era. These technologies were used in various fields by passing the information or commands to electronic devices. In early stage, there is a communication between machine to machine, machine to environment and machine to infrastructure but IoT fills the gap between human intelligence and artificial intelligence. As a result, large number of database has been generated for processing and the processed information takes necessary action. Though it provides so many opportunities but the problem is it creates so many risks while transmitting information. Therefore it should be concern that how to keep these devices safe and secure. Hence the study is mainly focused how the machine learning techniques resolve the problems created due to the securing IoT surrounding. This proposed paper deliberate about the variables, features and existing technique and identified which method would be more efficient.
  • AI Based Ontology-Driven Information Retrieval for Healthcare Information System
    M Suguna, M. Sangeetha, N. Shanmugapriya, G Pavithra, V. Anandkumar
    Proceedings International Conference on Computing Power and Communication Technologies Ic2pct 2024, 2024
    Over the years, advancements in the work have been incorporated towards professor relationships and data collection techniques to model a wide variety of human activities and behaviors. Most sensor data come from smart devices such as cleaners and cleaners that provide the ability to manipulate and extract data from monitoring data for monitoring and healthcare. Due to the high popularity and use of smart devices as respondents, performance recognition systems are more accurate and easier to use. Identifying smooth designs is a difficult task in contrasting environments and scattering tube data. This work presents a knowledge-based model based on job descriptions that reflects the work of the worker. The knowledge model is based on two new approaches: to consider a functional degree scheme between measuring sensor energy and functional consciousness to model controversial sensor data and establish the relationship between them. Low efficiency (easy work) and high level (weak). In this article we make a case why ontology can contribute to blockchain design. To support this issue, we make an analysis translate the tonnage ontology and some of its representations into the smart contracts that enable it implement traceability restrictions on the original traceability feature and Ethereum blocking platform.
  • AI Innovations in IoT and Machine Learning for Health Prediction Systems
    Bhuvana J, Saroj Kumar, M. Deepa, Pavithra G, V. Anandkumar
    6th International Conference on Inventive Computation Technologies Icict 2023 Proceedings, 2023
    In the Internet of Things, one of the important hidden insights tools is Machine Learning. This technology combination works differently for all decision making process in the field of education department, security system, business purposes and other healthcare systems. Machine Learning grants permission to the Internet of Things to describe patterns that are hidden for a large amount of data and are used for predicting and recommending to the systems. Machine Learning (ML) is a field of Artificial Intelligence that empowers computers to attain from their prior occurrences and improve without the need for direct programming involvement. Machine learning allows robots to act in ways that are quite similar to humans. To extract the required information from a large amount of data, machine learning can be used to create algorithms based on data trends and relationships. Healthcare has incorporated IoT and machine learning for automated devices to build patient files and to monitor real time patients. To manage IoT data in the healthcare sector, several Machine Learning techniques to be acquired. Intrusion detection, bioinformatics, health care, marketing, gameplay, and other disciplines may all benefit from machine learning. It allows computers and robots to make data-driven judgments instead of being expressly programmed to perform a specific task. When these programs or algorithms are exposed to fresh or unknown data, it is supposed to learn and improve over time. The importance of ML may be observed in numerous parts of society because of the large volume of data. The applications that are used in healthcare have been demonstrated in detail
  • Research Challenges in Future Internet of Things (IoT) Applications and Technologies
    V. Anandkumar, M. Diwakaran, K.N. Sivabalan, R. Balakrishna
    Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
    The internet has become an integral part of our daily lives, and it is the medium that connects everyone on the planet, allowing individuals to exchange their opinions, knowledge, and experience. Because this entire network of individuals is connected via the internet, they might be referred to as the “internet of people”. What if the diurnal devices use by humans can also share their experiences with other things, communicate with us and work according to our commands using the internet as the medium. This whole idea is being realized under Internet of Things (IOT) technology. So, all the IOT devices or networks are developed to attain the above functionality and they are also equipped with three different layers of technologies namely Sensor, Communication and computational or processing technologies. This integrated network of various technologies is being developed to sort out the key human adversities such as water wastage, pollution, depletion of energy resources, health issues etc., and this paves way to establish a balance between the growing population and resources.
  • Next-generation iot use cases across industry verticals using machine learning algorithms
    T. R. Kalaiarasan, Sruthi Anand, V. Anandkumar, A. M. Ratheeshkumar
    Applied Learning Algorithms for Intelligent Iot, 2021
    Internet of Things is an interconnection of objects or things through the internet and enables exchange of data where every object is provided a unique identifier and the data are transferred through the network. All the devices can be connected to a network and controlled at our fingertips using web-based applications or mobile applications. This technology fosters the growth of the internet and reduces human intervention, thereby making life very easy. Due to the transformation of agriculture to smart agriculture, cities to smart cities, payments to smart payments, IoT plays a major role in all the fields prevalent in today’s society. It is also predicted that in the coming years, the number of devices and applications that are connected will exponentially increase. With the rapid growth and a busy world, it is necessary that this kind of technology would be able to drive us and control everything at our own comfort. It has greater advantages like optimization, decision-making, and improved business strategies for satisfying the customers. Industrial IoT is a subset of IoT, which takes the concept of IoT, is applied with business scenarios, and leads to increased efficiency and greater savings. The market is highly benefited with the capability to monitor the machines remotely and monitor environmental conditions. It is not limited to specific domains; it plays a pivotal role in the field of health care by enabling patients and medical practitioners to communicate regularly in terms of the treatment, medications, and so on. This chapter is focused on the industrial use cases, which are elaborated below: Machine diagnosis systems detect faults in the machines, and also monitor the operating conditions. The performance of the machine is analyzed by comparing it with normal operating conditions. Inventory management system is used to monitor the inventor and maintain inventory level using RFID tags. Monitor the environmental conditions inside the industry by identifying toxic gases using various gas sensors, based on which hazardous zones can be identified. Hence, remedial measures can be taken by providing proper ventilation. Monitor the noise level in industry using noise monitoring stations. Noise maps are generated based on collected data. Devices in the form of wearables make remote monitoring of patients in the healthcare sector easy.
  • Impact of finding selfish nodes in manet
    Dr Anandkumar V, , Kalaiarasan T R, Ratheeshkumar A M, , and
    International Journal of Innovative Technology and Exploring Engineering, 2019
    The nodes that operate in the self-organized functions of Mobile Ad hoc Networks (MANETs) participate in the network but increase the energy and resources consumption. As some nodes are non-cooperative with others in the network, it is necessary that those nodes have to be removed. Active researches are conducted to deal with those selfish nodes that are non-cooperative. Methods/ Statistics: Our paper analyzes by comparing the 2ACK method simulated using hash chain one-way scheme with digital signature and DSR methods. Findings: The simulation analysis suggest that a considerable percentage of packets delivered of 2ACK method is greater when compared with Digital signature or any other DSR methods but has the capability in finding a considerable number of selfish nodes present in the network. Applications/ Improvements: the 2ACK scheme can be used to control the network overhead using the authentication schemes and can be enhanced to monitor the video traffic can be monitored.
  • Improving the performance using shared spread protocol in issue guarantee protocol over delay tolerant networks
    International Journal of Applied Engineering Research, 2015

RECENT SCHOLAR PUBLICATIONS

  • IoT technologies in power and grid systems
    MSN B. Kavya Santhoshi, Bapayya Naidu Kommula, M. D. Vimalapriya, J. Ganesh ...
    ADVANCES IN SUSTAINABLE ENGINEERING - INNOVATIONS IN MATERIALS, DESIGN, AND … , 2026
    2026
  • Cloud Resilience: An Investigation and optimized replication approach to reduce downtime and optimized efficient replica placement to ensure high availability
    DVA Dr S Lavanya, Dr K Jeya Ganesh Kumar, Dr S P Premnath
    Journal of Systems and Software , 2026
    2026
  • Quantum- Inspired Energy-Aware Routing (QEAR) for Wireless Ad Hoc Networks
    DVA Dr M Thenmozhi, Dr S Manthadi Periannasamy
    International Journal of Microwave and Wireless Technologies , 2026
    2026
  • Applying Transformer-Based Models for Early Detection of Parkinson's Disease
    D Pulugu, U Hemavathi, M Thimmapuram, A V, M Vidhyasree, M Johri
    International Conference on IoT, Communication and Automation Technology … , 2025
    2025
  • AI-Driven Drug Recommendation and Personalized Treatment System Using Big Data Analytics
    MPADRMMHBDAVMSPM Manoj G
    IN Patent App. 202541099780 A , 2025
    2025
  • IoT-Enabled System and Method for Enhancing Consumer Purchase Decisions through Digital Marketing and Promotional Strategies
    MPADSNNRMARDAVMSMDP Sudarkodi
    IN Patent App. 202,541,099,866 A , 2025
    2025
  • WellNex: AI Based Fitness Tracking Application
    A Thiyagarajan, T Keerthika, G Vijaya, V Anandkumar
    2025 Global Conference on Information Technology and Communication Networks … , 2025
    2025
  • Detection Methods for Jamming and Spoofing Attacks in IoT Systems
    SD Raj, MS Nidhya, L Jayanthi, K Ramineni, V Anandkumar, B Maram
    2025 5th International Conference on Soft Computing for Security … , 2025
    2025
    Citations: 2
  • EEG BASED BRAIN COMPUTER INTERFACE DEVICE
    DJACMJDPMRNMBLDV Anandkumar
    IN Patent Design No.: 427576-001 , 2024
    2024
  • MACHINE LEARNING BASED NETWORK SECURITY DEVICE
    DVA Dr. Aditi Sharma, Ms. Suman, Dr. Anurag Namdev, Dr. R. Kala
    IN Patent Design No. : 413611-001 , 2024
    2024
  • AI Based Ontology-Driven Information Retrieval for Healthcare Information System
    M Suguna, M Sangeetha, N Shanmugapriya, G Pavithra, V Anandkumar
    2024 IEEE International Conference on Computing, Power and Communication … , 2024
    2024
    Citations: 9
  • Reliable and secure system design for IoT enabled E-healthcare services for patient monitoring
    A Vellaichamy, Kalaiarasan, AM Ratheeshkumar
    AIP Conference Proceedings 2742 (1), 020016-1 to 020016-8 , 2024
    2024
    Citations: 2
  • An IoT based reinforced secured data transmission in artificial intelligence
    TRK A. M. Ratheeshkumar, V. Anandkumar, K. N. Sivabalan
    AIP Conference Proceedings 2742 (1), 020014-1 to 020014-7 , 2024
    2024
  • IoT–based AI system for analyzing the impact of reduced speed limits on urban highway
    MHGT 1)Dr.D.Prabakar, Dr.CH.Balakrishna, Dr V Anandkumar,Dr B Santhosh Kumar ...
    IN Patent 202341054747 A , 2023
    2023
  • Design system of Speed Behavior of Heterogeneous Traffic on Two-Lane Rural Roads using IoT
    DSS Dr.J.T. Thirukrishna,Mr.M.Arulprabhu, Dr V Anandkumar, Dr B Santhosh ...
    IN Patent 202341054443 A , 2023
    2023
  • AI Innovations in IoT and Machine Learning for Health Prediction Systems
    J Bhuvana, S Kumar, M Deepa, G Pavithra, V Anandkumar
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 8
  • Machine Learning Based Crop Growth Monitoring System
    DVA Dr Vikas Somani, Dr Awanit Kumar, Dr Sankarsan Panda
    IN Patent 202,211,053,921 , 2022
    2022
  • Automatic Behavior Prediction for Rule Based Data Processing using Machine Learning
    VA Dr. V. Tamizhazhagan, Divya R, M. V. Rama Prasad
    IN Patent App. 202,241,049,441 A , 2022
    2022
  • Students Performance Analysis Using Machine Learning Techniques
    RPK Dr V Anandkumar, Mahalakshmi. P, Preethi. S
    International Journal of Innovative Research in Computer and Communication … , 2022
    2022
  • Identification of Fabric Attributes Using Artificial Intelligence
    PD Dr V Anandkumar, Ramalingasamy M K, Ranjith Raj kumar R, Mohamed Umar S
    International Journal of Innovative Research in Computer and Communication … , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • IoT based soil analysis and irrigation system
    V Anandkumar, TR Kalaiarasan, S Balakrishnan
    International Journal of Pure and Applied Mathematics 119 (12), 1127-1134 , 2018
    2018
    Citations: 30
  • IOT Based Smart Farming for Effective Utilization of Water and Energy
    SB K.N.Sivabalan, V.Anandkumar
    International Journal of Advanced Science and Technology 29 (7), 2496-2500 , 2020
    2020
    Citations: 18
  • AI Based Ontology-Driven Information Retrieval for Healthcare Information System
    M Suguna, M Sangeetha, N Shanmugapriya, G Pavithra, V Anandkumar
    2024 IEEE International Conference on Computing, Power and Communication … , 2024
    2024
    Citations: 9
  • AI Innovations in IoT and Machine Learning for Health Prediction Systems
    J Bhuvana, S Kumar, M Deepa, G Pavithra, V Anandkumar
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 8
  • DATA ANALYTICS FOR RETAIL INDUSTRY USING QLIK
    MB Kalaiarasan T R, Dr V Anandkumar, Nivetha R
    JOURNAL OF XI'AN UNIVERSITY OF ARCHITECTURE & TECHNOLOGY 12 (5), 1276-1279 , 2020
    2020
    Citations: 5
  • Sales Forecasting Using RNN
    RAM Kalaiarasan T R , Dr Anandkumar V
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019
    Citations: 5
  • Detection Methods for Jamming and Spoofing Attacks in IoT Systems
    SD Raj, MS Nidhya, L Jayanthi, K Ramineni, V Anandkumar, B Maram
    2025 5th International Conference on Soft Computing for Security … , 2025
    2025
    Citations: 2
  • Reliable and secure system design for IoT enabled E-healthcare services for patient monitoring
    A Vellaichamy, Kalaiarasan, AM Ratheeshkumar
    AIP Conference Proceedings 2742 (1), 020016-1 to 020016-8 , 2024
    2024
    Citations: 2
  • IoT technologies in power and grid systems
    MSN B. Kavya Santhoshi, Bapayya Naidu Kommula, M. D. Vimalapriya, J. Ganesh ...
    ADVANCES IN SUSTAINABLE ENGINEERING - INNOVATIONS IN MATERIALS, DESIGN, AND … , 2026
    2026
  • Cloud Resilience: An Investigation and optimized replication approach to reduce downtime and optimized efficient replica placement to ensure high availability
    DVA Dr S Lavanya, Dr K Jeya Ganesh Kumar, Dr S P Premnath
    Journal of Systems and Software , 2026
    2026
  • Quantum- Inspired Energy-Aware Routing (QEAR) for Wireless Ad Hoc Networks
    DVA Dr M Thenmozhi, Dr S Manthadi Periannasamy
    International Journal of Microwave and Wireless Technologies , 2026
    2026
  • Applying Transformer-Based Models for Early Detection of Parkinson's Disease
    D Pulugu, U Hemavathi, M Thimmapuram, A V, M Vidhyasree, M Johri
    International Conference on IoT, Communication and Automation Technology … , 2025
    2025
  • AI-Driven Drug Recommendation and Personalized Treatment System Using Big Data Analytics
    MPADRMMHBDAVMSPM Manoj G
    IN Patent App. 202541099780 A , 2025
    2025
  • IoT-Enabled System and Method for Enhancing Consumer Purchase Decisions through Digital Marketing and Promotional Strategies
    MPADSNNRMARDAVMSMDP Sudarkodi
    IN Patent App. 202,541,099,866 A , 2025
    2025
  • WellNex: AI Based Fitness Tracking Application
    A Thiyagarajan, T Keerthika, G Vijaya, V Anandkumar
    2025 Global Conference on Information Technology and Communication Networks … , 2025
    2025
  • EEG BASED BRAIN COMPUTER INTERFACE DEVICE
    DJACMJDPMRNMBLDV Anandkumar
    IN Patent Design No.: 427576-001 , 2024
    2024
  • MACHINE LEARNING BASED NETWORK SECURITY DEVICE
    DVA Dr. Aditi Sharma, Ms. Suman, Dr. Anurag Namdev, Dr. R. Kala
    IN Patent Design No. : 413611-001 , 2024
    2024
  • An IoT based reinforced secured data transmission in artificial intelligence
    TRK A. M. Ratheeshkumar, V. Anandkumar, K. N. Sivabalan
    AIP Conference Proceedings 2742 (1), 020014-1 to 020014-7 , 2024
    2024
  • IoT–based AI system for analyzing the impact of reduced speed limits on urban highway
    MHGT 1)Dr.D.Prabakar, Dr.CH.Balakrishna, Dr V Anandkumar,Dr B Santhosh Kumar ...
    IN Patent 202341054747 A , 2023
    2023
  • Design system of Speed Behavior of Heterogeneous Traffic on Two-Lane Rural Roads using IoT
    DSS Dr.J.T. Thirukrishna,Mr.M.Arulprabhu, Dr V Anandkumar, Dr B Santhosh ...
    IN Patent 202341054443 A , 2023
    2023