Rehash Rushmi Pavitra A

@srmist.edu.in

Assistant Professor / Data Science and Business Systems
SRM Institute of Science & Technology, Kattankulathur, Chennai

Rehash Rushmi Pavitra A


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https://researchid.co/pavitra

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Networks and Communications, Computer Science, Hardware and Architecture
26

Scopus Publications

82

Scholar Citations

5

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Monitoring Medication Adherence: Methods, Tools, and Outcomes
    R. Radha, S. Sharanya, A Rehash Rushmi Pavitra
    Medical Internet of Things Perspectives Impact and Challenges, 2026
    The term eHealth is a term that combines technology and health science so as to promote efficiency in terms of providing medication and moderate related costs. The decisive objective of eHealth is to vindicate usage selection to recover patient security and consequences. Explosion of mHealth has emerged since the introduction of broadband and telemedicine in 1920. Wearable technologies are used for diagnosing and monitoring patients with defective health. The most complex problem prevailing is non-adherence of the medication given to patients. Failing to proceed further with medication agendas could lead to complications in health which might lead to death as well. This chapter focuses on current improvements in the domain of medication adherence methods with technology advancements. The catalogue of this chapter includes various domains like systems related to sensor systems, revelation systems, and closeness sensing. Digital health management provides support like booking slots, providing treatments, information procurement and checking. IOT enabled blockchain and AI methodologies improved significantly that paved major breakthroughs in the domain of biomedical and health care systems. The predictions are made based on the basic characteristics of the latest technology, like security, resilience and decentralization of administration and audit trails. Health care industry related persons are enabled to view patient records using blockchain enabled AI methodologies to make efficient and effective solutions. A clear balance required between real world findings based on experimentation with that of evidence based methods to experience impending advantages and obstacles to digital health management.
  • An Adaptive and Intelligent IoT Framework for Next Generation Rehabilitation
    S. Sharanya, R. Radha, A Rehash Rushmi Pavitra, S. Karthikeyan
    Medical Internet of Things Perspectives Impact and Challenges, 2026
    Rehabilitation is an evidence-based methodology in managing and treating patients with impairments. Skilled physical rehabilitation progress by strengthening the functionality of mobility training, cognitive skills, motor skills etc. However, the present healthcare systems are heavily loaded, so that the accessibility of the rehabilitation facilities is restricted only to urban areas. Also, the traditional rehabilitation methods demand complete involvement of the therapist and do not have any real time monitoring facilities. This chapter proposes an adaptive and intelligent IoT based rehabilitation framework to address these limitations. The system provisions the integration of ambient and wearable sensors for real time data collection, AI modules for performance assessment and activity recognition and adaptive progression of the therapeutic procedures. Apart from this the research work discusses the design considerations of the framework in terms of energy efficiency, data privacy, scalability and modularity. Thus, the proposed framework as an attempt to revolutionize digital rehabilitation by imbibing patient centric, outcome driven and adaptive approach.
  • Digital Footprint Analytics for User Behavior Prediction in Libraries
    R. Radha, A. Rehash Rushmi Pavitra, Dr.M. Hemasundari, Haeedir Mohameed, Dr.S.N.V.J. Devi Kosuru, Dr. Aida Ventkat Rao Dora
    Indian Journal of Information Sources and Services, 2026
    As libraries seek to have more people satisfied as well as to manage resources better, the application of data analytics in the digital age sounds almost ubiquitous. This paper will look at the use of digital footprints to forecast behavior in libraries. This paper will build models on the behavioral pattern of users, such as logins, use of resources, search, and borrowing history, so that it can serve users better and also to maximize resource allocation. This model employs machine learning techniques, namely, supervised models, such as logistic regression and decision trees to extract patterns and relationships in user data. Incorporating digital footprint analysis in libraries enhances personalized service and helps librarians make sound administrative judgments. Libraries are used to collect data, which will be anonymized to ensure that the identities of users are not revealed and to conform to ethics. The suggested structure would enable digital libraries to more efficiently predict user actions and proactively propose the appropriate content. This case demonstrates the significance of behavioral analysis in building responsive, self-learning, and user-optimized intelligent library systems. The findings contribute to the rationale of the increasing literature on digital libraries and also highlight the development of library analytics in providing library services to academic and public libraries.
  • Smart Contract Management in Resource Sharing Agreements
    A. Rehash Rushmi Pavitra, R. Radha, R. Satheesh Kumar, Montater MuhsnHasan, Yuldasheva Maftuna Mamurjon Kizi, Nishtha Sharma
    Indian Journal of Information Sources and Services, 2026
    The management of resource sharing agreements is being transformed by the introduction of smart contracts, which, alongside decentralized technologies, provide smoother automation, transparency, and trust amongst different parties. This research examines the role that smart contract management systems play in the design, implementation, and control of resource-sharing agreements in the fields of energy, telecommunications, transportation, and digital services. Conventional contract-based practices are plagued by inefficiencies, potential errors, and delays, which smart contracts aim to address by encoding agreement terms into self-executing code stored within blockchain systems. The study examines key architectural building blocks, consensus models, and security elements, focusing on the real-time execution of automated validation, updates, dispute resolution, and contract performance. Practical applications are presented through case studies on decentralized energy markets, bandwidth leasing, and co-utilization of assets. Other concerns are the lack of interconnected systems, enforcement, and private legal structures. The research develops a smart contract lifecycle management model that regulates contracting processes to help organizations develop adequate, compliant, and collaborative resource distribution solutions designed to be scalable. The economic model of spending changes due to the ability of smart contracts, utilizing Blockchain, to share resources, thereby reducing administrative expenses and establishing more resilient mechanisms of dependence in the future.
  • Forecasting Soil Moisture Dynamics from SMAP Observations via Signal Decomposition
    D. Dhinakaran, V. Vijayalakshmi, S. Palpandi, R. Rajesh, D. Selvaraj, A. Rehash Rushmi Pavitra, Ahmad Salah
    Earth Systems and Environment, 2026
  • Investigating the Adoption of Multimodel Framework for Identifying Fake News
    E. Shanmugapriya, A. Rehash Rushmi Pavitra
    Aip Conference Proceedings, 2025
  • A Vital Research and State-of-the-Art Application in Artificial Intelligence into Smart Grids
    A. Rehash Rushmi Pavitra, V. Vijayalakshmi
    AI and Blockchain in Smart Grids Fundamentals Methods and Applications, 2025
    The modernization of energy systems could potentially be revolutionized by incorporating artificial intelligence (AI) into smart grids. Moreover, distinct parameters such as efficient, accurate, sustainable uses of AI in smart grids are examined in the proposed research. In addition to this, emerging technologies that impact smart grids in the future, including neural networks, machine learning, deep learning, Internet of Things, and enhancing domain like AI are addressed respectively. Simultaneously, proposed research illustrates the revolutionary potential of AI in energy management and distribution through case studies and other real-time applications. Also discussed, an exciting future of smart and flexible and sustainable energy ecosystems ready to confront the challenges of an environment evolving in a rapid manner which is suggested towards the advancement of intelligent technologies in power systems automation and utilization of AI in smart grids. Finally, the development trend of intelligent technology for power systems automation is addressed along with distributed energy resources and intelligent real-time control system.
  • A Blockchain-Based Architecture for Secure and Decentralized Agricultural Supply Chain Management
    V. Vijayalakshmi, A. Rehash Rushmi Pavitra
    AI and Blockchain in Smart Grids Fundamentals Methods and Applications, 2025
    Blockchain technology offers transformative potential for the agricultural sector by providing a decentralized, transparent, and secure system for recordkeeping and transaction verification. By eliminating the need for intermediaries, blockchain can enhance various aspects of agriculture, including supply chain transparency, food safety, and financial transactions. The technology’s inherent properties – such as immutability, enhanced security, and consensus mechanisms – make it well-suited to address challenges in modern farming, from reducing food-borne illnesses and fraud to improving financial transactions and market accessibility for farmers. Despite these advantages, the adoption of blockchain in agriculture faces significant barriers, including the need for extensive training, reliable information infrastructure, and the integration of IoT devices. This paper explores the historical development of blockchain, its applications in agriculture, the opportunities and benefits it offers, and the challenges that must be addressed to realize its full potential.
  • Certain Investigation on Solar Prediction Model using Machine Learning Mechanisms
    Mudit Khater, A. Rehash Rushmi Pavitra
    Proceedings 2025 IEEE 3rd International Symposium on Sustainable Energy Signal Processing and Cybersecurity Isssc 2025, 2025
    The accurate prediction of solar energy is one of the key focus areas for renewable energy research since it is crucial for planning and energy management optimization. This paper investigates the use of advanced machine learning techniques,which includes Scikit-Learn and TensorFlow, to predict solar energy output. Using a dataset that contains many climatic parameters, we trained and evaluated several models, such as neural networks, random forests and regression models.The comparison research demonstrates that deep learning models, particularly those constructed with TensorFlow, outperform traditional Machine learning models in terms of prediction accuracy. Because these models have the potential to capture a range of complex,non-linear correlations in the data, these models are a perfect fit for this use case.The study highlights the importance of feature selection and data preparation in improving the efficiency of machine learning models. The findings suggest that incorporating advanced machine learning algorithms into solar energy management systems could significantly increase forecast accuracy. This would enable more efficient planning and utilization of different solar resources. The results of the study provide a strong foundation for further investigation and useful solar energy forecasting applications. Additionally, this work contributes to the growing body of research demonstrating the ability of deep learning and machine learning models to accurately estimate renewable energy. By providing a comprehensive review of various machine learning techniques, this work advances the more general goal of sustainable energy development and paves the way for more advanced and accurate predictive models in the field of solar energy.
  • An Advanced Application of UAV-Drone Technologies in Precision Agriculture for Seed Dropping, Fertilizers and Pesticides Spraying and Field Monitoring
    I. Daniel Lawrence, A. Rehash Rushmi Pavitra, Ragupathy Karu, M.P. Saravanan
    Computer Vision in Smart Agriculture and Crop Management, 2025
    In precision agriculture, too much advancement has been made to boost crop output. Almost 70% of rural residents in nations like India depend mostly on agriculture for their income. Sensors and the Internet of Things are crucial for creating a more environment-friendly and fruitful global agriculture. Large volumes of data may be intelligently monitored and analyzed to provide deeper understanding and information that can then be used to improve forecasting, judgment, and sensor management. Unmanned aerial vehicles (UAVs), that could potentially quickly be deployed for monitoring reasons, have considerably benefitted precision agriculture. The World Health Organization (WHO) has reported adverse effects from manual fertilizer and pesticide spraying, causing a million cases. To address this issue, drones are being used to spray fertilizers and pesticides at different densities. These UAVs can assist farmers in increasing crop production by monitoring crop health and soil health, reducing environmental harm, and using resources efficiently. Finally, the UAVs are used to spray fertilizer and pesticides as per the observed data results. Drones are used in the majority of applications as a movable aerial platform for high-resolution image capture to determine the impact of pest, disease and weed patches in a cultivated field. The temperature, humidity, light intensity, pressure, and soil moisture of an agriculture field environment is collected through sensors. Importantly, the former can identify the crop health and weed patches through aerial captured images and soil moisture and environment conditions by sensors. Especially, the drone use for precise crop health monitoring is economical, less time-consuming process. The study emphasizes the importance of novel technologies in achieving sustainable pest management in modern agriculture and how this will require collaboration between experts from multiple disciplines, including agronomy, ecology, software development, and engineering.
  • An Intelligent Framework to Monitor and Predict Land Temperatures Using Learning Algorithms
    S. Sharanya, D. Rajalakshmi, Rehash Rushmi Pavithra A., V. Vijayalakshmi, R. Radha
    Recent Advances in Georesources Intelligent Materials and Environmental Science, 2025
  • Research review on performance evaluation of fifth generation (5G) technologies and protocols
    Kavitha Veluchamy, Rehash Rushmi Pavitra A., M. Isaivani, Josep M. Guerrero
    5g and Fiber Optics Security Technologies for Smart Grid Cyber Defense, 2024
  • Research Review Inquisitive on Indoor Air Quality Monitoring System Facilitate with Internet of Things
    A. Rehash Rushmi Pavitra, A. Muthukrishnan, P. Uma Maheswari, Ramkumar Venkatasamy, I. Daniel Lawrence
    E3s Web of Conferences, 2024
  • The Application of AI in Automatic Drug Dispensers: Enhancing Efficiency and Safety in Healthcare
    M. Sai Hasya Reddy, A. Rehash Rushmi Pavitra, T. Sravya Likitha
    1st International Conference on Communication Computing Smart Materials and Devices Icccsmd 2024, 2024
  • Voice- Controlled Drones for Smart City Applications
    I. Daniel Lawrence, A. Rehash Rushmi Pavitra
    Sustainable Innovation for Industry 6 0, 2024
  • A Contemporary CNN Implanted Deep Learning Framework for Crop Protection from Animal Intrusion in Farming Environment
    A.Rehash Rushmi Pavitra, K. Panimalar, D. Rajalakshmi, A. Chinnasamy
    2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems Adics 2024, 2024
  • SafeRoute: Pioneering Online Ride Booking with Pega & ML-Powered Safety Measures
    D. Rajalakshmi, P.S. Immaculate, S. Senthil Pandi, A. Rehash Rushmi Pavitra, V. Vijayalakshmi, S. Sharanya
    8th International Conference on Electronics Communication and Aerospace Technology Iceca 2024 Proceedings, 2024
  • REAL-TIME INDOOR ENVIRONMENT QUALITY MONITORING FOR VEHICLE CABIN
    Daniel Lawrence Iruthayaraj, Rehash Rushmi Pavitra Arockiam, Jayabal Subbaian
    Environmental Engineering and Management Journal, 2023
  • A secure quantum technology for smart cities using Travelling Salesman Problem (TSP): Application perspectives
    A. Rehash Rushmi Pavitra, I. Daniel Lawrence, A. Muthukrishnan
    Handbook of Research on Quantum Computing for Smart Environments, 2023
  • Artificial Intelligence (AI) Enabled Music Player System for User Facial Recognition
    A. Rehash Rushmi Pavitra, K Anushree, A V R Akshayalakshmi, K Vijayalakshmi
    2023 4th International Conference for Emerging Technology Incet 2023, 2023
  • Novel Cutting-Edge Security Tools for Medical and Genomic Data With Privacy Preservation Techniques
    Privacy Preservation of Genomic and Medical Data, 2023
  • To Identify the accessibility and performance of smart healthcare systems in IoT based environments
    A Rehash Rushmi Pavitra, I. Daniel Lawrence, P. Uma Maheswari
    Using Multimedia Systems Tools and Technologies for Smart Healthcare Services, 2022
  • Cost Effective Smart Farming With FARS-Based Underwater Wireless Sensor Networks
    E. Srie Vidhya Janani, A. Rehash Rushmi Pavitra
    Research Anthology on Strategies for Achieving Agricultural Sustainability, 2022
  • A Survey on Software Defined Architecture for Underwater Wireless Sensor Networks
    A.Rehash Rushmi Pavitra, Swagata Sarkar, V. Arun, C. Esther
    Proceedings of the 2021 4th International Conference on Computing and Communications Technologies Iccct 2021, 2021
  • Overlay Networking to ensure seamless communication in Underwater Wireless Sensor Networks
    A. Rehash Rushmi Pavitra, E. Srie Vidhya Janani
    Computer Communications, 2019
  • Clustering protocols in underwater wireless sensor networks: A communication approach overview
    International Journal of Innovative Technology and Exploring Engineering, 2019

RECENT SCHOLAR PUBLICATIONS

  • Forecasting Soil Moisture Dynamics from SMAP Observations via Signal Decomposition
    D Dhinakaran, V Vijayalakshmi, S Palpandi, R Rajesh, D Selvaraj, ...
    Earth Systems and Environment, 1-23 , 2026
    2026
  • Smart Contract Management in Resource Sharing Agreements
    ARR Pavitra, R Radha, RS Kumar, M MuhsnHasan
    2026
  • Monitoring Medication Adherence: Methods, Tools, and Outcomes
    R Radha, S Sharanya, ARR Pavitra
    Medical Internet of Things, 44-60 , 2026
    2026
  • An Adaptive and Intelligent IoT Framework for Next Generation Rehabilitation
    S Sharanya, R Radha, ARR Pavitra, S Karthikeyan
    Medical Internet of Things, 213-230 , 2026
    2026
  • Digital Footprint Analytics for User Behavior Prediction in Libraries
    R Radha, ARR Pavitra, M Hemasundari, H Mohameed
    2026
  • An Intelligent Framework to Monitor and Predict Land Temperatures Using Learning Algorithms
    S Sharanya, D Rajalakshmi, V Vijayalakshmi, R Radha
    Recent Advances in Georesources, Intelligent Materials, and Environmental … , 2026
    2026
  • Certain Investigation on Solar Prediction Model using Machine Learning Mechanisms
    M Khater, ARR Pavitra
    2025 IEEE 3rd International Symposium on Sustainable Energy, Signal … , 2025
    2025
  • ENERGY MANAGEMENT APPROACH IN DISTRIBUTED FRAMEWORK USING SEED SEARCH OPTIMIZATION PROGRAMMING ALGORITHM (SSOPA)
    V Kavitha, V Malathi, ARR Pavitra, M Isaivani
    Next Research, 100890 , 2025
    2025
  • The Impact of Generative AI on Agriculture Environment
    A Rehash Rushmi Pavitra, I Daniel Lawrence
    Revolution with Generative AI: Trends and Techniques, 193-208 , 2025
    2025
  • A Vital Research and State-of-the-Art Application in Artificial Intelligence into Smart Grids
    ARR Pavitra, V Vijayalakshmi
    AI and Blockchain in Smart Grids: Fundamentals, Methods, and Applications, 319 , 2025
    2025
    Citations: 3
  • Investigating the adoption of multimodel framework for identifying fake news
    E Shanmugapriya, ARR Pavitra
    AIP Conference Proceedings 3137 (1), 020007 , 2025
    2025
  • An Advanced Application of UAV–Drone Technologies in Precision Agriculture for Seed Dropping, Fertilizers and Pesticides Spraying and Field Monitoring
    I Daniel Lawrence, ARR Pavitra, R Karu, MP Saravanan
    Computer vision in smart agriculture and crop management, 139-157 , 2025
    2025
    Citations: 9
  • A Blockchain-Based Architecture for Secure and Decentralized Agricultural Supply Chain Management
    V Vijayalakshmi, ARR Pavitra
    AI and Blockchain in Smart Grids, 307-318 , 2025
    2025
  • The Application of AI in Automatic Drug Dispensers: Enhancing Efficiency and Safety in Healthcare
    MSH Reddy, ARR Pavitra, TS Likitha
    2024 International Conference on Communication, Computing, Smart Materials … , 2024
    2024
  • SafeRoute: Pioneering Online Ride Booking with Pega & ML-Powered Safety Measures
    D Rajalakshmi, PS Immaculate, SS Pandi, ARR Pavitra, V Vijayalakshmi, ...
    2024 8th International Conference on Electronics, Communication and … , 2024
    2024
    Citations: 1
  • Research review inquisitive on indoor air quality monitoring system facilitate with internet of things
    A Rehash Rushmi Pavitra, A Muthukrishnan, P Uma Maheswari, ...
    E3S Web of Conferences 477, 00044 , 2024
    2024
    Citations: 5
  • A Contemporary CNN Implanted Deep Learning Framework for Crop Protection from Animal Intrusion in Farming Environment
    ARR Pavitra, K Panimalar, D Rajalakshmi, A Chinnasamy
    2024 International Conference on Advances in Data Engineering and … , 2024
    2024
    Citations: 1
  • Firefighting in Smart Cities - Unmanned Aerial Vehicle with Fire Extinguishing Ball Launch and Liquid Dispensing System
    DLI Sivananth Varatharajan, Krishnakumar Kosalaram, Nithya S, Rehash Rushmi ...
    Journal of Chemical Health Risks 14 (1), 184-192 , 2024
    2024
  • Voice-controlled drones for smart city applications
    ID Lawrence, ARR Pavitra, V Prasanna
    Sustainable Innovation for Industry 6.0, 167-182 , 2024
    2024
    Citations: 8
  • Research Review on Performance Evaluation of Fifth Generation (5G) Technologies and Protocols
    K Veluchamy, M Isaivani, JM Guerrero
    5G and Fiber Optics Security Technologies for Smart Grid Cyber Defense, 55-76 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • To identify the accessibility and performance of smart healthcare systems in IoT-based environments
    ARR Pavitra, ID Lawrence, PU Maheswari
    Using multimedia systems, tools, and technologies for smart healthcare … , 2023
    2023
    Citations: 13
  • Overlay networking to ensure seamless communication in underwater wireless sensor networks
    ARR Pavitra, ESV Janani
    Computer Communications 147, 122-126 , 2019
    2019
    Citations: 10
  • An Advanced Application of UAV–Drone Technologies in Precision Agriculture for Seed Dropping, Fertilizers and Pesticides Spraying and Field Monitoring
    I Daniel Lawrence, ARR Pavitra, R Karu, MP Saravanan
    Computer vision in smart agriculture and crop management, 139-157 , 2025
    2025
    Citations: 9
  • Voice-controlled drones for smart city applications
    ID Lawrence, ARR Pavitra, V Prasanna
    Sustainable Innovation for Industry 6.0, 167-182 , 2024
    2024
    Citations: 8
  • Research review inquisitive on indoor air quality monitoring system facilitate with internet of things
    A Rehash Rushmi Pavitra, A Muthukrishnan, P Uma Maheswari, ...
    E3S Web of Conferences 477, 00044 , 2024
    2024
    Citations: 5
  • Rehash Rushmi Pavitra A, P. Uma Maheswari, I. Daniel Lawrence, 2023. Internet of Things (IoT) Enabled Cloud Computing Drone for Smart Agriculture: Superior Growth and Life
    G Parkavi, DDC CA
    Journal of Population Therapeutics and Clinical Pharmacology 30 (12), 256-262 , 2023
    2023
    Citations: 5
  • An illustrative review on machine learning techniques along with software tools and its evaluation
    ARR Pavitra, G Parkavi, PU Maheswari, K Karthikeyan, ID Lawrence
    Neuroquantology 20 (16), 233-236 , 2022
    2022
    Citations: 4
  • A survival study on flooding based routing protocols for Underwater Wireless Sensor Networks (UWSNs)
    ARR Pavitra, L Karthika, PU Maheswari, S Keerthana, K Rupiya
    J Univ Shanghai Sci Technol 24 (8), 23-29 , 2022
    2022
    Citations: 4
  • A Vital Research and State-of-the-Art Application in Artificial Intelligence into Smart Grids
    ARR Pavitra, V Vijayalakshmi
    AI and Blockchain in Smart Grids: Fundamentals, Methods, and Applications, 319 , 2025
    2025
    Citations: 3
  • A secure quantum technology for smart cities using travelling salesman problem (tsp): Application perspectives
    ARR Pavitra, ID Lawrence, A Muthukrishnan
    Handbook of Research on Quantum Computing for Smart Environments, 165-177 , 2023
    2023
    Citations: 3
  • Cost effective smart farming with FARS-based underwater wireless sensor networks
    ESV Janani, ARR Pavitra
    Research Anthology on Strategies for Achieving Agricultural Sustainability … , 2022
    2022
    Citations: 3
  • A Review on Intelligent Voice Assistant with Multilingual Support using Artificial Intelligence
    ARR Pavitra, M Ganeshan, P Pavithran, G Rajamurugan
    Journal of Emerging Technologies and Innovative Research (JETIR) 10 (4) , 2023
    2023
    Citations: 2
  • A study on navigation/tracking system combining GPS and NFC technologies
    ARR Pavitra, A Binoy, VA Srivasthan, K Sathish
    Int J Comput Sci Trends Technol (IJCST) 10 (3) , 2022
    2022
    Citations: 2
  • A survey on software defined architecture for underwater wireless sensor networks
    ARR Pavitra, S Sarkar, V Arun, C Esther
    2021 4th International Conference on Computing and Communications … , 2021
    2021
    Citations: 2
  • SafeRoute: Pioneering Online Ride Booking with Pega & ML-Powered Safety Measures
    D Rajalakshmi, PS Immaculate, SS Pandi, ARR Pavitra, V Vijayalakshmi, ...
    2024 8th International Conference on Electronics, Communication and … , 2024
    2024
    Citations: 1
  • A Contemporary CNN Implanted Deep Learning Framework for Crop Protection from Animal Intrusion in Farming Environment
    ARR Pavitra, K Panimalar, D Rajalakshmi, A Chinnasamy
    2024 International Conference on Advances in Data Engineering and … , 2024
    2024
    Citations: 1
  • REAL-TIME INDOOR ENVIRONMENT QUALITY MONITORING FOR VEHICLE CABIN.
    DL Iruthayaraj, RRP Arockiam, J Subbaian
    Environmental Engineering & Management Journal (EEMJ) 22 (11) , 2023
    2023
    Citations: 1
  • Novel Cutting‐Edge Security Tools for Medical and Genomic Data With Privacy Preservation Techniques
    A Rehash Rushmi Pavitra, I Daniel Lawrence, J Sarojini Premalatha, ...
    Privacy Preservation of Genomic and Medical Data, 113-129 , 2023
    2023
    Citations: 1
  • Artificial Intelligence (AI) Enabled Music Player System for User Facial Recognition
    ARR Pavitra, K Anushree, AVR Akshayalakshmi, K Vijayalakshmi
    2023 4th International Conference for Emerging Technology (INCET), 1-4 , 2023
    2023
    Citations: 1
  • Weser Books
    N Nandal, R Malik, M Dhingra
    2021
    Citations: 1

Publications

Ph.D (Faculty of Information and Communication Engineering) (Full Time), Anna University, Chennai, Tamil Nadu, India
M.E (Computer Science and Engineering) (Anna University Rank: 37,College Rank: 1, First Class with Distinction) Anna University Regional Campus, Madurai, Tamil Nadu, India
B.E (Computer Science and Engineering) (First Class) Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India

INDUSTRY EXPERIENCE

Melon Ventures Private Limited, Chennai, Tamil Nadu, India (November 2014 – August 2015)
Designation: Software Engineer