Dr.G.Kirubasri, M.E(CSE). Ph.D

Dr.G.Kirubasri, M.E(CSE). Ph.D

Email: kirubasri.cse@sonatech.ac.in

Designation: Assistant Professor

Experience: 16 years 4 Months

Specialization: Wireless Sensor Networks, Optimization Techniques, Machine Learning

Journal Publication Conference Publication Book Publication Major Contributions Invited Talk Training / Workshops Consultancy Research Projects Patent Membership Research IDs Awards & Recognitions Lab Achievements Credentials

Journal Publication

  1. Mohandas, D. R., Veena, D. S., Kirubasri, G., Mary, I. T. B., & Udayakumar, D. R. (2024). Federated Learning with Homomorphic Encryption for Ensuring Privacy in Medical Data. Indian Journal of Information Sources and Services, 14(2), 17–23.
  2. Kirubasri, G., Sankar, S., Guru Prasad, M. S., Naga Chandrika, G., & Ramasubbareddy, S. (2024). LQETA-RP: Link Quality Based Energy and Trust Aware Routing Protocol for Wireless Multimedia Sensor Networks. International Journal of System Assurance Engineering and Management, 15(1), 564–576.
  3. Gali, N. R., Krishnapriya, S., Kirubasri, G., Jagtap, M. T., Marthanda, A. V. G. A., & Shahid, M. (2023). Artificial Intelligence-Powered Electric Vehicle’s Battery Management System with IoT. International Journal of Intelligent Systems and Applications in Engineering, 12(2s), 511–518.
  4. Sennan, S., Kirubasri, G., Alotaibi, Y., Pandey, D., & Alghamdi, S. (2022). EACR-LEACH: Energy-Aware Cluster-based Routing Protocol for WSN Based IoT. CMC-Computers, Materials & Continua, 72(2), 2159–2174.
  5. Kirubasri, G., Priya, V., Sundarakumar, M. R., Vijay, K., & Jayareka, K. S. (2021). A Contemporary Survey on Clustering Techniques for Wireless Sensor Networks. Turkish Journal of Computer and Mathematics Education, 12(11), 5917–5927.
  6. Kirubasri, G., Kiruthika, S., Malleswari, T. Y. N., & Jayareka, K. S. (2021). Energy Efficient Routing Using Machine Learning Based Link Quality Estimation for WMSNs. Turkish Journal of Computer and Mathematics Education, 12(11), 3767–3775.
  7. Arockia Raj Y, V. K. K. S. J. G. K. P. V. (2021). Enhancing the Security of Data Using Digital Stemage Technique. Annals of the Romanian Society for Cell Biology, 25(6), 9138–9143.
  8. Kirubasri, G., & Kiruthika, S. (2020). A Machine Learning Model for Improved Prediction of Alzheimer’s Progression. International Journal of Advanced Science and Technology, 29(6), 4204–4215.
  9. Kiruthika, S., & Kirubasri, G. (2020). Improving the Efficiency of a Dual Corpus Text To Speech Synthesis System Using a Prefetch Buffer. International Journal of Advanced Science and Technology, 29(6), 4253–4258.
  10. Kiruthika, S., & Kirubasri, G. (2020). Sentiment Analysis for Product Improvement in e-Commerce Sites – A Simulation. International Journal of Advanced Science and Technology, 29(6), 4245–4252.
  11. Kirubasri, G., Maheswari, N. U., & Venkatesh, R. (2018). Novel Energy Efficient Predictive Link Quality Based Reliable Routing for Wireless Multimedia Bio-Sensor Networks in Bio-Medical Invention Research and Bionic Utilities Monitoring Application. International Journal of Biomedical Engineering and Technology, 26(3–4), 219–236.
  12. Kirubasri, M. G., UmaMaheswari, N., & Venkatesh, R. (2017). A Robust Intra-Cluster Communication for Wireless Multimedia Sensor Networks Using Link Quality Analysis. International Journal of Pure and Applied Mathematics, 117(8), 149–154.
  13. Dhanalakshmi, N., Sathya, C., Sri, G. K., & Suresh, K. (2017). Multi-Constraint Fuzzy Logic Based Optimal MPR Selection in OLSR. Advances in Natural and Applied Sciences, 11(7), 317–322.
  14. Kirubasri, G., & Maheswari, N. U. (2016). A Study on Hardware and Software Link Quality Metrics for Wireless Multimedia Sensor Networks. International Journal of Advanced Networking and Applications, 8(3), 3103.
  15. Kirubasri, G., Maheswari, U., & Venkatesh, R. (2014). A Survey on Hierarchical Cluster-Based Routing Protocols for Wireless Multimedia Sensor Networks. Journal of Convergence Information Technology, 9(6), 19.
  16. Gopalan, K., Srinivasan, S., Singh, M., Mathivanan, S. K., & Moorthy, U. (2025). Corn leaf disease diagnosis: enhancing accuracy with resnet152 and grad-cam for explainable AI. BMC Plant Biology, 25(1), 440.
  17. Jameer Basha, S. K., Krishnapriya, S., Kirubasri, G., Varshney, G., Mohan, C. R., Chouhan, K., & Koppala, N. (2025). Optimized Resource Management Using Binarized Spiking Neural Network With Pyramid Attention and Smart Contract Blockchain for Sustainable Spectrum Allocation in 6G. International Journal of Communication Systems, 38(13), e70195.

Conferences Publications

  1. Ravikumar, S., Babu, R., Kirubasri, G., Vijay, K., & Sanjai, S. (2024). Smart Shoes: Empowering Fall Prevention for the Elderly. In Artificial Intelligence and Information Technologies (pp. 144–150). CRC Press.
  2. J. R. K, C. Nigam, G. Kirubasri, S. Jayachitra, A. Aeron, & D. Suganthi. (2024). Real-Time Object Detection on Edge Devices Using Mobile Neural Networks. 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangalore, India, pp. 1–4.
  3. I. Sudha, G. Kirubasri, M. Deivakani, V. P. Singh, T. R. Kumar, & M. Niranjanamurthy. (2023). Detecting Objects in Surveillance Videos with Deep Neural Networks for Crime Scene Analysis. 2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Chennai, India, pp. 1–4.
  4. D. Mathew, G. Kirubasri, K. Vijay, I. Eugene Berna, & K. R. Sowmia. (2023). System for Detecting Intrusions Using Raspberry PI. 2023 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, pp. 1–6.
  5. S. Pournima, C. Priyatharsini, G. Kirubasri, & J. Manikandan. (2023). Hybrid BILSTM Network for Improving Crop Pest Classification. 2023 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, pp. 1–5.
  6. M. Anas, G. C., & K. G. (2023). Machine Learning Based Personality Classification for Carpooling Application. 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), Coimbatore, India, pp. 77–82.
  7. Ravikumar, S., & Kirubasri, G. (2023, June). Video Surveillance for Intruder Detection and Tracking. In Recent Trends in Computational Intelligence and Its Application (p. 409). CRC Press.
  8. Amala Ruby Florence, J., & Kirubasri, G. (2022). Accident Detection System Using Deep Learning. In Kalinathan, L., R., P., Kanmani, M., S., M. (Eds.), Computational Intelligence in Data Science, ICCIDS 2022. IFIP Advances in Information and Communication Technology, vol 654. Springer, Cham.
  9. G. Kirubasri, S. Sankar, D. Pandey, B. K. Pandey, H. Singh, & R. Anand. (2021). A Recent Survey on 6G Vehicular Technology, Applications and Challenges. 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO), pp. 1–5.
  10. Kirubasri, G. (2020). An Enhanced Approach on Energy Efficient Routing Using Machine Learning Based Link Quality Estimation for WMSNs. International Conference on AI, Robotics and Automation, Global Technology Forum 2020, ISBN: 978-81-937760-4-9, pp. 224–230.
  11. Kirubasri G., Kiruthika S., Sagana S., Jayareka K.S. (2021). A Contemporary Survey on Clustering Techniques for Wireless Sensor Networks. International Virtual Conference on Applied Science, Technology, Management and Language Studies (ASTMLS-2020), Sona College of Technology, 12 Dec 2020, pp. 247–252.
  12. Kirubasri G. (2020). Obtaining Relevant Data Cubes in OLAP for Efficient Online Trading. International Conference on AI, Robotics and Automation, Global Technology Forum 2020, ISBN: 978-81-937760-4-9, pp. 231–232.
  13. Kirubasri G. (2020). A Remote Health Monitoring System Using IoT. Sona Virtual International Conference, ASTMLS’2020, Dec 11–12, pp. 260–264.
  14. Vinodhini V., Jayareka K.S., Kirubasri G., Sarika M. (2020). A Survey of Low Cost Persistent Infusion Monitoring System Using IoT for Smart Sanatorium. Sona Virtual International Conference, ASTMLS’2020, Dec 11–12, pp. 255–259.
  15. Kirubasri, G., Sreesubha, S., Vidyasree, G., Anitha Elavarasi, S., & Aanandha Saravanan, K. (2024, November). Spinach Classification and Its Health Benefits Suggestion using Deep learning. In 2024 International Conference on Electronic Systems and Intelligent Computing (ICESIC) (pp. 290-294). IEEE.
  16. Gopalan, K., Krishnaraj, K., Ragavan, K., Srinivasan, M., & Arumugam, S. K. (2025, April). A cryptographic based end to end data protection model for personally identifiable information. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020133). AIP Publishing LLC.
  17. Gopalan, K., Dhivakar, B., Balasubramanian, B., Kathiresan, D., & Balraj, S. (2025, April). Career craft: A machine learning model to provide desirable job opportunities. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020124). AIP Publishing LLC.
  18. Krishnaraj, K., Gopalan, K., & Nandhakumar, D. (2025, April). Cloud computing security model: Case study on organizational vulnerabilities. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020122). AIP Publishing LLC.
  19. Balraj, S., Gajendran, N., Palanivel, N., Murugesan, N., & Gopalan, K. (2025, April). Disaster response using social media. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020093). AIP Publishing LLC.

Book Publication

  1. Kirubasri, G., Sankar, S., Pandey, D., Pandey, B. K., Nassa, V. K., & Dadheech, P. (2022). Softwaredefined networking-based Ad hoc networks routing protocols. In Software defined networking for Ad Hoc networks (pp. 95-123). Cham: Springer International Publishing
  2. Kirubasri, G., Elavarasi, S. A., Jayanthi, J., Gunavathi, C., & Vijay, K. (2025). Fundamentals of 6G networks. In Human-Centric Integration of 6G-Enabled Technologies for Modern Society (pp. 37-55). Academic Press.
  3. Parmar, K. J., Palaniappan, D., Jain, R., Premavathi, T., Gadhvi, D. N., & Kirubasri, G. (2025). Taxonomy of Adversarial Attacks and Defenses. In Challenges and Solutions for Cybersecurity and Adversarial Machine Learning (pp. 37-66). IGI Global Scientific Publishing.

Patent

  1. 202241062481 - IoT system for monitoring gateways using LoRa and LoRaWAN
  2. 202141057662 - Smart Electric Vehicle Manufacturing Process Using Deep Learning concept
  3. 202441101179 - Machine Learning Approaches for Predicting Postpartum Depression Risk: Leveraging XGBOOST and CATBOOST ALGORITHMS
  4. 202441101175 - An Intelligent, Multi-Modal Assistive Device for Real-time stage classification and detection of Pneumonia Using Optimized Machine Learning Techniques

Membership

  1. IEI
  2. ISTE
  3. ACCS

Researcher IDs

Awards and Achievements

  1. Received Gold Medal for Rank – I in M.E (CSE), Anna University, Trichy in 2010.
  2. NPTEL Discipline Star Award received two times in January 2021 and January 2024.
  3. Received Top Performing Mentor Appreciation Award from NPTEL during July to December 2023.
  4. NPTEL Discipline Star Award in January 2021
  5. Gold certificate and Topper 1% in Foundations of cloud IOT and EdgeML NPTEL course.