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Latest Conferences (Scopus indexed)

  1. B.N. Karthikeyan and P. Varalakshmi, Exploring Deep Architectures for Accurate Breast Cancer Prediction using Histopathological Images, International Conference on Innovations in Intelligent Systems Advancements in Computing Communication and Cybersecurity Isac3 2025, Hybrid, Bhubaneswar (2025) .
  2. M. Vijayalakshmi, M. Bharathwaj and D.A.D. Dharshini, Traffic Sign and Obstacle Detection for Autonomous Vehicle Navigation using Edge Computing, 10th International Conference on Wireless Communications Signal Processing and Networking Wispnet 2025, Chennai (2025) .
  3. P. Varalakshmi, S. Ibrahim Navas, P. Mani Arun Venkatesh, K. ThiruMurugan, S. Adnan Khan and R. Rohith, An Enhanced Depression Detection Using Bi-LSTM AI Model with Audio Data, 2025 International Conference on Emerging Technologies in Engineering Applications Icetea 2025 Proceedings, Puducherry (2025) .
  4. R. Rohith, M. Vijayalakshmi, A. Neavil Porus and M. Bharathwaj, Hybrid Deep Learning and Machine Learning Techniques for Automated Kidney Abnormality Detection and Classification in CT Imaging, 2025 International Conference on Computing Technologies Icoct 2025, Bengaluru (2025) .
  5. R. Rohith, P. Varalakshmi and S. Priyanka, SLD-SAG: Enhanced Skin Lesion Diagnosis with SegNet based Segmentation and AlexNet based Prediction using Genetic Optimizer, 2025 International Conference on Emerging Technologies in Engineering Applications Icetea 2025 Proceedings, Puducherry (2025) .
  6. R. Rohith, S.J.S. Rajasekar, T. Murugan and V. Perumal, Enhanced Handwriting Kinematic Modeling for Alzheimer's Disease Classification Using Machine Learning Models, Studies in Health Technology and Informatics, Athens (2025) (328) : pp116-120 .
  7. S. Aravind, K. Indra Gandhi, R. Prasanna and V. Rishith Kumar, Policy-Based Verification and Enforcement for Generation of SSL/TLS Certificates, Smart Innovation Systems and Technologies, London (2025) (422) : pp1-13 .
  8. S. Priyanka, P. Varalakshmi and R. Rohith, Efficient Brain Hemorrhage Segmentation: A Compact 3D U-Net Deep Learning Approach, 2025 International Conference on Emerging Technologies in Engineering Applications Icetea 2025 Proceedings, Puducherry (2025) .
  9. S. Ravishankar and P. Varalakshmi, A Hybrid Ensemble Model Using DenseNet121 and EfficientNetB2 for Improved Oral Cancer Detection, 2025 International Conference on Next Generation Computing Systems Intelligent System for Sustainable Development Icngcs 2025 Conference Proceedings, Coimbatore (2025) .
  10. S.J.S. Rajasekar, M. Saleem, N. Kannan, K. Narayanasamy and P. Varalakshmi, Artificial Intelligence Powered Audiomics: The Futuristic Biomarker in Pulmonary Medicine - A State-of-the-Art Review, Studies in Health Technology and Informatics, Glasgow (2025) (327) : pp884-885 .
  11. Y. Sathish, S.N. Bose, A.S. Narayanan, S. Parayil, B.K. Natarajan, V. Perumal, S.K. Hemanth and M. Mohan, Computational-Efficient Morphology Zone search in Peripheral Blood Smear for Identification of Atypical Blood Cell Morphologies, 2025 IEEE Applied Sensing Conference Apscon 2025, Hyderabad (2025) .
  12. G.S. Mahalakshmi, R. Vinitha Kumari, P. Jaysankar and S. Sendhilkumar, Citation Prediction Analysis Using Deep Learning Techniques, 2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, Kamand (2024) .
  13. G.S. Mahalakshmi, S. Sendhilkumar, D. Rajeshkumar and P. Jaysankar, Semantics Preserving Dimensionality Reduction of Citation Network Using Topic Models, 2024 IEEE Conference on Engineering Informatics Icei 2024, Melbourne (2024) .
  14. G.S. Mahalakshmi, S. Sendhilkumar, R. Vinitha Kumari and P. Jaysankar, Citation Prediction Using LDA Topic Models, 2024 IEEE Conference on Engineering Informatics Icei 2024, Melbourne (2024) .
  15. J.D. Devi, B. Srinivasan, S. Ravindran, R. Parthasarathi, P. Ramakrishna and L. Balasubramanian, Machine Learning based Waveform Predictions using Discrete Wavelet Transform for Automated Verification of Analog and Mixed Signal Integrated Circuits, Proceedings of the IEEE International Conference on VLSI Design, Kolkata, West Bengal (2024) : pp61-66 .
  16. K. Bonagiri, L. Priyadharshini, R. Panneerselvi, P. Sahitya, H. Swamy and P. Varalakshmi, Practical Applications of Cyber security: A Research Paper on Knowledge Graphs for Real-World Security Solutions, 2024 4th Asian Conference on Innovation in Technology Asiancon 2024, Pimpri Chinchwad (2024) .
  17. M. Srivani, A. Murugappan and T. Mala, MathBERTRes: Mathematical BERT Model for Sequence Classification of Mathematical Research Articles, Lecture Notes in Networks and Systems, Cuttack (2024) (1) : pp183-196 .
  18. P. Dhanasekaran, A.V. Geetha and T. Mala, FusedNet: A Fusion of Time Series and Imaging Based Human Activity Recognition Using ResNet, Lecture Notes in Networks and Systems, Cuttack (2024) (1) : pp411-422 .
  19. P. Varalakshmi and N.M.K. Bugatha, AI-Powered Resume Based QA Tailoring for Success in Interviews, 2024 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2024 Proceedings, Krishnankoil, Virudhunagar (2024) .
  20. P. Varalakshmi, B. Anu Rithiga, B. Deepa Varnika and S.J.S. Rajasekar, Embryonic Quality Assessment using Advanced Deep Learning Architectures utilizing Microscopic Images of Blastocysts, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, Orlando (2024) .
  21. P. Varalakshmi, R. Tilak Soorya, S. Anugeeta and S. Akshaya, Efficient Kidney Tumor Classification and Segmentation with U-Net, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, Orlando (2024) .
  22. P. Varalakshmi, V.S. Sanmitha, S.B. Dhivyadharshni and S. Saravanan, Harnessing Deep Learning Techniques for Dysarthria Detection, 2024 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2024 Proceedings, Krishnankoil, Virudhunagar (2024) .
  23. R. Rohith, M. Joshua Dayalan, M. Meena and P. Varalakshmi, Exploring Deep Learning Techniques for MRI Brain Tumor Image Segmentation: A Survey, Proceedings 3rd International Conference on Advances in Computing Communication and Applied Informatics Accai 2024, Chennai (2024) .
  24. R. Rohith, P. Varalakshmi and K. Narmadha, Advanced Deep Learning Strategies for Skin Lesion Segmentation using R2U-Net, 1st International Conference on Communication Computing Smart Materials and Devices Icccsmd 2024, Chennai (2024) .
  25. S. Parayil, A. Debnath, V. Perumal, A.S. Narayanan, B. Kannan Natarajan and S.S.N. Bose, Digital Red Blood Cell Morphology Analysis and Multi-Class Classification powered by Hierarchical AI, Proceedings of Conecct 2024 10th IEEE International Conference on Electronics Computing and Communication Technologies, Bangalore (2024) .
  26. S. Sendhilkumar, G.S. Mahalakshmi, A. Swaminathan and K.S. Anirudh, Automated Indigenous Plant Recognition and Medicinal Value Extraction System, IFIP Advances in Information and Communication Technology, Chennai (2024) (717 IFIPAICT) : pp368-380 .
  27. S. Sendhilkumar, G.S. Mahalakshmi, S. Madumitha and A. Swaminathan, Deep Herb: Ayurveda Dry Herb Recognition and Question Answering using Deep Leaming, Cins 2024 2nd International Conference on Computational Intelligence and Network Systems, Dubai (2024) .
  28. V. Perumal, A.S. Narayanan, S. Parayil, A. Debnath, B.K. Natarajan and S.S.N. Bose, Hierarchical AI-Powered Digital White Blood Cell and Platelet Morphology Analysis using Multi-Class Classification, Proceedings of Conecct 2024 10th IEEE International Conference on Electronics Computing and Communication Technologies, Bangalore (2024) .
  29. A.R. Rajamurugan and V. Muthuswamy, COVID-19 Daily Positive Cases Forecast in Tamil Nadu Using Automated Deep Learning Application, Smart Innovation, Systems and Technologies, New Delhi (2023) (351) : pp125-137 .
  30. E. Uma, A. Yashwanth, B. Pravinbabu, P. Surendhar and T. Mala, ComPuDTIK: Computational Prediction of Drug-Target Interactions in Kinases, 12th IEEE International Conference on Advanced Computing, ICoAC 2023, Hybrid, Chennai (2023) .
  31. E.M. Ranganayaki, S. Abirami, R.S. Lysa Packiam and M. Deivamani, RANGANAYAKI@LT-EDI: Hope Speech Detection using Capsule Networks, LTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings, Varna (2023) : pp144-148 .
  32. G.S. Mahalakshmi, S. Hemadharsana, K. Srividhyasaradha, S. Sendhilkumar and C. Sushant, Exploring Correlation of Deep Topic Models Using Structured Topic Coherence, Lecture Notes in Networks and Systems, Jelenia Góra (2023) (572) : pp315-321 .
  33. K. Girthana, S. Swamynathan, A.R. Nirupama, S. Sri Akshya and S. Adhithyan, Web-based Pretrained Transformer Model for Scientific Paper Summarization (WPT-SPS), 2023 International Conference on Artificial Intelligence and Smart Communication, AISC 2023, Greater Noida (2023) : pp298-302 .
  34. K. Indra Gandhi, S. Balaji, S. Srikanth and V.S. Varshini, Ensemble Machine Learning-Based Network Intrusion Detection System, Smart Innovation Systems and Technologies, Cardiff (2023) (370) : pp135-144 .
  35. K. Vidya, P. Ramesh, H. Viknesh and S. Devanand, Compressed Deepfake Detection using Spatio-Temporal Approach with Model Pruning, Procedia Computer Science, Hybrid,Coimbatore (2023) (230) : pp436-444 .
  36. M. Srivani, A. Murugappan and T. Mala, MathKnowTopic: Creation of a Unified Knowledge Graph-Based Topic Modeling from Mathematical Text Books, Lecture Notes in Networks and Systems, Jaipur (2023) (680 LNNS) : pp619-633 .
  37. M. Vijayalakshmi, D. Suvitha and C. Gowtham Krishna, Moving Vehicle Speed and Distance Estimation in Autonomous Vehicles, 12th IEEE International Conference on Advanced Computing, ICoAC 2023, Hybrid, Chennai (2023) .
  38. M. Vijayalakshmi, D. Suvitha and P. Sivaguru, End-To-End Autonomous Vehicle Navigation Using Imitation Learning, 12th IEEE International Conference on Advanced Computing, ICoAC 2023, Hybrid, Chennai (2023) .
  39. P. Amrish Raaj, S. Abirami, R.S. Lysa Packiam and M. Deivamani, HARMONY@DravidianLangTech: Transformer-based Ensemble Learning for Abusive Comment Detection, DravidianLangTech 2023 - 3rd Workshop on Speech and Language Technologies for Dravidian Languages, associated with 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings, Varna (2023) : pp160-165 .
  40. P. Raja Lakshmi, A.V. Geetha, D. Priyanka and T. Mala, PRISM: Predicting Student Performance using Integrated Similarity Modeling with Graph Convolutional Networks, 12th IEEE International Conference on Advanced Computing, ICoAC 2023, Hybrid, Chennai (2023) .
  41. P. Varalakshmi, V. Rajeshkumar, V.S. Swetha, R.C.S. Mukesh and S.J.S. Rajasekar, Left Ventricular Ejection Fraction Estimation for Pediatric Patients using Convolutional Neural Network Model, 2023 International Conference on System, Computation, Automation and Networking, ICSCAN 2023, Puducherry (2023) .
  42. P. Varalakshmi, V. Ramanujan, C.C. Subramaniam, R.A. Vishwakarma and S.J.S. Rajasekar, Classification of Epileptic Seizures using Optimized TQWT and Hybrid Models, Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering Iceconf 2023, Chennai (2023) .
  43. R. Mathumitha, P. Rathika and K. Manimala, SVM-based regression for forecasting building power energy consumption using smart meter data, 2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, Delhi (2023) .
  44. R. Sundar, P. Varalakshmi and D. Sachin Kumar, Comparative Analysis of Machine Learning Algorithms to predict the Tropical Cyclones, 2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023, Chennai (2023) .
  45. S. Jaya Sundar Rajasekar, G. Jaswal, V. Perumal, S. Ravi and V. Dutt, Parasite.ai - An Automated Parasitic Egg Detection Model from Microscopic Images of Fecal Smears using Deep Learning Techniques, Proceedings of the 2nd IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2023, Chennai (2023) .
  46. S. Krishnan, R.V. Vasan, P. Varma and T. Mala, Probabilistic Forecasting of the Winning IPL Team Using Supervised Machine Learning, Communications in Computer and Information Science, Varanasi (2023) (1798 CCIS) : pp138-152 .
  47. S.S. Merlin, R. Yugha, L. Hubert Mary, P. Varalakshmi and D. Mavaluru, A Hybrid Deep Learning Neural Network Model and Data-Driven Methods for Smart Grid Theft Detection, Proceedings of the 2023 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2023, Chennai (2023) .
  48. V. Dhanasekar, V. Gunasekaran, A. Challa, B. Srinivasan, J.D. Devi, S. Ravindran, R. Parthasarathi, P.V. Ramakrishna, G. Geetha Kumar, V. Padmanabhan, G. Lakshmanan and L. Balasubramanian, Analysis of Machine Learning Techniques for Time Domain Waveform Prediction in Analog and Mixed Signal Integrated Circuit Verification, Proceedings - International Symposium on Quality Electronic Design, ISQED, San Francisco (2023) (2023-April) .
  49. V. Perumal, K. Tr, V. Suriyaa and H. Samic S, Analysis of various CNN models for Placenta Cell Classification, 2023 International Conference on System Computation Automation and Networking Icscan 2023, Puducherry (2023) .
  50. V. Perumal, R. Sasana, P. Rakshitha and J.F. Doss F, Mosquito Breeding Grounds Detection Using Deep Learning Techniques, Proceedings of the 2nd IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2023, Chennai (2023) .
  51. V.A. Prabha and P. Varalakshmi, HPC OpenStack Cloud with Optimized Software-Defined Storage, Proceedings of the 2nd IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2023, Chennai (2023) .
  52. A. Sekar and V. Perumal, Crack Image Synthesis and Segmentation using Paired Image Translation, Proceedings IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2022, Chennai (2022) .
  53. B. Sivasankari and P. Varalakshmi, Blockchain and IoT Technology in Healthcare: A Review, Studies in Health Technology and Informatics, Nice (2022) (294) : pp277-278 .
  54. K. Narmadha and P. Varalakshmi, Federated Learning in Healthcare: A Privacy Preserving Approach, Studies in Health Technology and Informatics, Nice (2022) (294) : pp194-198 .
  55. M.A.M. Raja, S. Swamynathan and T. Sumitha, Adaptive Classifier Using Extreme Learning Machine for Classifying Twitter Data Streams, Smart Innovation, Systems and Technologies, Tekkali (2022) (281) : pp363-374 .
  56. M.J. Vincent, P. Varalakshmi, U. Nithya, S. Sona and A.M. Thomas, Land Use Land Cover Change Detection using Semi-Automatic Classification- A Case Study in Chennai, Tiruvallur and Kanchipuram Districts, 2022 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2022, Chennai (2022) .
  57. P. Varalakshmi and A.P. Sankaran, Classification of Arrhythmia Based on Machine Learning Algorithms Using ECG Signals, Proceedings - IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022, Chennai (2022) .
  58. P. Varalakshmi, A. Mithesh, B. Niveditha, G. Rubak Preyan and S. Yogeeswar, Intelligent load balancing in SDN, 8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022, Coimbatore (2022) : pp1146-1151 .
  59. P. Varalakshmi, A.V. Priyamvadan and B.R. Rajakumar, Predicting Osteosarcoma using eXtreme Gradient Boosting Model, Proceedings - IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022, Chennai (2022) .
  60. P. Varalakshmi, B. Guhan, B. Thilaksurya and B. Niveditha, Transfer Learning based Hybrid Image Clustering for Brain MRI Images, 2022 1st International Conference on Computational Science and Technology, ICCST 2022 - Proceedings, Chennai (2022) : pp749-753 .
  61. P. Varalakshmi, B. Guhan, P. Vignesh Siva, T. Dhanush and K. Saktheeswaran, Improvising JSON Web Token Authentication in SDN, 2022 International Conference on Communication, Computing and Internet of Things, IC3IoT 2022 - Proceedings, Chennai (2022) .
  62. P. Varalakshmi, B. Sivasankari, R.A. Kumar, K.M. Nithish Kumar and T.V. Venthan, Development of Healthcare Insurance Claim Mechanism using Blockchain Technology, 2022 1st International Conference on Computational Science and Technology, ICCST 2022 - Proceedings, Chennai (2022) : pp835-840 .
  63. P. Varalakshmi, K. Narmadha, B. Niveditha, A. Akshaya and S.K. Sarah, An Efficient Reliable Federated Learning Technology, Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022, Chennai (2022) .
  64. P. Varalakshmi, K.L. Priya, B. Sivasankari and S.J.S. Rajasekar, BoneAgeAI: A Novel Age Prediction Tool using Deep Convolutional Neural Networks, Proceedings - IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022, Chennai (2022) .
  65. P. Varalakshmi, S. Saroja, S. Ketharaman and S. Shimola, Glomeruli Identification in Renal Biopsy using Deep Learning Approaches, Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022, Chennai (2022) .
  66. P. Varalakshmi, S. Sathyamoorthy, V. Darshan, V. Ramanujan and S.J.S. Rajasekar, Detection of Osteoporosis with DEXA Scan Images using Deep Learning Models, Proceedings - IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022, Chennai (2022) .
  67. R. Mathumitha, P. Rathika and K. Manimala, Big Data Analytics and Visualization of Residential Electricity Consumption Behavior based on Smart Meter Data, Proceedings 2022 International Conference on Breakthrough in Heuristics and Reciprocation of Advanced Technologies Bharat 2022, Visakhapatnam (2022) : pp166-171 .
  68. R.C.A. Steffy, S.E.P. Pushpa, K. Mariammal, S. Senbagakuzhalvaimozhi and P. Varalakshmi, Area Optimized Implementation of Galois Field Fourier Transform, International Conference on Sustainable Computing and Data Communication Systems Icscds 2022 Proceedings, Erode (2022) : pp736-743 .
  69. S. Aravindkumar, P. Varalakshmi and C. Alagappan, Automatic Road Surface Crack Detection Using Deep Learning Techniques, Lecture Notes in Electrical Engineering, Chennai (2022) (806) : pp37-44 .
  70. S. Kanimozhi, T. Mala, A. Kaviya, M. Pavithra and P. Vishali, Key Object Classification for Action Recognition in Tennis Using Cognitive Mask RCNN, Lecture Notes in Networks and Systems, Virtual, Online (2022) (287) : pp121-128 .
  71. S. Sudersan, V.S. Abhijith, M. Thangavel and P. Varalakshmi, A Review on Data Integrity Verification Schemes Based on TPA and Blockchain for Secure Cloud Data Storage, Lecture Notes in Electrical Engineering, Surat (2022) (848) : pp117-129 .
  72. S.J.S. Rajasekar, P. Varalakshmi, K. Narmadha and B. Sivasankari, RemCheck: A Novel Drug Validator Application to detect fake Remdesivir, an Anti-Viral Drug for COVID-19, Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022, Chennai (2022) .
  73. V. Perumal and J. Medikanda, Tracing and decoding of covert phonemes using single channel Electroencephalogram with Machine Learning Techniques, 2022 IEEE International Conference on Distributed Computing VLSI Electrical Circuits and Robotics Discover 2022 Proceedings, Shivamogga (2022) : pp320-324 .
  74. V.S. Abhijith, B. Sowmiya, S. Sudersan, M. Thangavel and P. Varalakshmi, A Review on Security Issues in Healthcare Cyber-Physical Systems, Lecture Notes in Networks and Systems, Kolkata (2022) (291) : pp37-48 .