Faculty

S.Sridevi

 sridevi@tce.edu,sridevi.asmitha@gmail.com

84

PUBLICATIONS       

4

SPONSORED PROJECTS

6

CONSULTANCY PROJECTS

9

M.E./Ph.D. SCHOLARS

60

SEMINAR, CONFERENCE, WORKSHOP ATTENDED

 Educational Qualification

DEGREE BRANCH INSTITUTE YEAR
BE Electronics and Communications Engineering Mepco Schlenk Engineering College 2004
M.E Multimedia Technology College of Engineering Guindy (CEG) ,Anna University 2006
Ph.D Information and Communication Engineering Anna University 2015

 Experience

PERIOD NO OF YEARS DESIGNATION INSTITUTION
06-07-2006 to 24-08-2011 5 Years 1 month Lecturer , CSE TCE
25-08-2011 to 11-12-2017 6 years 3 months Assistant Professor, CSE TCE
12-12-2017 to 31-01-2025 7 years 2 months Associate Professor, IT TCE
01-02-2025 to Till date 3 months Professor,IT TCE

 Publications

 Journals
  1. Sasitharan S, Subbiah S, Malaichamy ND and Chelliah D. MobileNetV2: A Computationally Efficient Model for Mango Leaf Disease Diagnosis: An Experimental Study. Premier Journal of Science 2025;14:100164, Q4
  2. Ezhil GR, Sridevi S. Retinal imaging and AI for non-invasive detection of diabetic macrovascular complications. Microvasc Research, Elsevier, 2026 Mar 25;166:104945. doi: 10.1016/j.mvr.2026.104945, Q2, Impact Factor: 2.7
  3. Jeyasoundari, J., Sridevi, S., & Charles Raja, S. (2026). Edge-based cyberattack detection in advanced metering infrastructure using a hybrid CGL model. SADHANA – Academy Proceedings in Engineering Sciences, Springer, accepted for publication,Q2, Impact Factor: 1.4
  4. Srijah, S., & Sridevi, S. (2025). Hybrid deep learning framework combining VGG-21 and attention guided feature fusion for mango leaf disease prediction. Journal of the Institution of Engineers (India): Series A. (Accepted), Q2, IF: 1.75.
  5. Jaipreetha S, Sridevi S, Ezhil G R , Dhachina Moorthy T S, “Medical Fake News Detection Using Ensemble Machine LearningMethod”, Thiagarajar Journal of Engineering, Science, Design and Technology,pp.29-32,Vol.1(2),2025.
  6. Ramasamy EG, Subbiah S, Sivasubramanian R and Malaichamy ND. A Non–Invasive Deep Learning Approach for Early Detection of Peripheral Arterial Disease– Diabetic Foot Ulcers Using Retinal Imaging: A Prospective Cohort Study. Premier Journal of Science 2025;15:100258,Q4.
  7. Sudalaimadan J, Subbiah S, Govindasamy A and Afthab AKMK. Graph-Augmented Language Model Framework for Health Misinformation Detection. Premier Journal of Science 2025;15:100198,Q4.
  8. Ezhil G R, Sridevi S, Srijah S, Raja Subramanian R,"Exploring the Intersection of AI and Diabetes:Insights through Non-invasive Technique Using Retina", Anadolu Psikiyatri Dergisi , ISSN: 1302-6631, Volume 25; Number 6,Pg no : 55-70. DOI - https://doi.org/10.5281/zenodo.14497051, Q3
  9. T. Saranya and C. Deisy and S. Sridevi, Efficient agricultural pest classification using vision transformer with hybrid pooled multihead attention,Computers in Biology and Medicinie,177,108584, 2024, https://doi.org/10.1016/j.compbiomed.2024.108584,Q1.
  10. "Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text," in IEEE Access, vol. 12, pp. 3528-3539, 2024, doi: 10.1109/ACCESS.2023.3349203, Q1
  11. Kalaiarasi A, Sridevi Subbiah, Subiksha G B, Ratchana S, Jaya Kumar K, Kannan S, Deisy C , “ "The Eye: A Light Weight Mobile Application for Visually ChallengedPeople Using Improved YOLOv5l Algorithm", accepted for publication in Emerging Science Journal, 2023, Q1
  12. Ananthi, G., & Sridevi, S. (2022). Stacking dilated convolutional AutoEncoder beamforming for THz wave vehicular ad-hoc networks. Wireless Personal Communications, 126(4), 2985-3000. doi:10.1007/s11277-022-09848-y
  13. Francis, Mercelin., Anbananthen, K. S. M., C Deisy., Kannan, S., Sridevi, S., & Krishnan, J. (2023). Smart farm-care using a deep learning model on mobile phones. Emerging Science Journal, 7(2), 480-497. doi:10.28991/ESJ-2023-07-02-013, Q1
  14. Saranya, T., Deisy, C., Sridevi, S., & Anbananthen, K. S. M. (2023). A comparative study of deep learning and internet of things for precision agriculture. Engineering Applications of Artificial Intelligence, 122 doi:10.1016/j.engappai.2023.106034, Q1
  15. M.Manikanda Kumar, S. Sridevi, (2023), " From Observation to Active Learning: A Collaborative Learning Approach for Object Oriented Programming Course", Volume: 36, Issue: 4, Pages: 150-160, Journal of Engineering Education Transformations, DOI: 10.16920/jeet/2023/v36i4/23125, Q3.
  16. Chandrakumar T, Parthasarathy S , Sridevi S, Ramya T, "CONSUMER'S PERCEPTION OF DIGITAL TRANSACTIONS IN INDIA: SENTIMENT ANALYSIS USING R", accepted for publication in Int. J. of Business Information Systems, Inderscience , 2022. (Scopus Indexed)
  17. Sridevi S, Parthasarathy S , Chandrakumar T, Rajaram S, "A novel framework for forecasting time series data based on fuzzy logic and variants of hidden Markov model”, accepted for publication in Int. J. Business Intelligence and Data Mining, Inderscience, 2020. (Indexed in Scopus)
  18. Sridevi, S, Veera Anusuya, V & Maha Lakshmi, ‘Prediction of time series data using SVM and ARMAX’, International Journal of Applied Engineering Research, ISSN: 1087-1090, vol. 10, no. 20, pp. 19171-19175,2015.
  19. S.Sridevi, Dr.S.Rajaram , ‘Improving Performance of Electricity Demand Forecasting using variants of Particle Swarm Optimization’, Middle-East Journal of Scientific Research, vol. 22, no. 3, pp. 458-463, 2014.
  20. S.Sridevi, Dr.S.Rajaram, “"An Efficient Method For Mining Periodic Transitional Patterns In Transaction Database", Journal of Theoretical and Applied Information Technology, ISSN 1992-8645 Vol.55, No.1, pp.74-83, September 2013
  21. S.Sridevi, S.Abirami, Dr.S.Rajaram, “Detecting and Revamping of X-Outliers in Time Series Database”, International Journal of Computer Applications, ISSN-0975-8887, Vol.60, No.19, pp.28-33, Dec 2012.
  22. A.Thileepan, S.Sridevi, “An intelligent forest fire detection system based on dynamic characteristics of fire”, International Journal of Computational Intelligence and Telecommunication Systems, ISSN: 2229-3078, Vol. 2, No.1, pp.63-68, 2011.
  23. C. Muruganantham, Dr.N. Jawahar, K. Chockalingam, S.Sridevi , “Orthogonal Array based Regression equation for accuracy of vision camera calibration”, Journal of Indian Institution of Production Engineering, Vol .3, No.1, pp.3 - 13, 2008.
  24. Parthasarathy S , Chandrakumar T, Sridharan C, Sridevi S, "Quality assessment of Standard and customized COTS products," International Journal of Information Technology Project Management (IJITPM)", IGI Global, 13, pp.1-13, 2020. (ESCI and Scopus Indexed).
  25. Sridevi S, Parthasarathy S , Chandrakumar T, Rajaram S, "A novel framework for forecasting time series data based on fuzzy logic and variants of hidden Markov model”, accepted for publication in Int. J. Business Intelligence and Data Mining, Inderscience, 2020. (Indexed in Scopus)
  26. Sridevi S, Kalaiarasi A, Saranya S, Kannan, Deisy C, “Intrusion Detection Technique in Wireless Sensor Network using Grid Search Random Forest with Boruta Feature Selection Algorithm” Journal of communication and networks, Q1, 2022. (Web of Science Indexed)
  27. Kalaiarasi A, Sridevi S, Deisy C et al., “An intelligent decision support system for crop yield prediction using hybrid machine learning algorithms”, F1000 Research, 2021, Q1 Journal, https://doi.org/10.12688/f1000research.73009.1. (Scopus Indexed)
  28. Sridevi, S.Parthasarathy S, and S. Rajaram, “An Effective Prediction System for Time Series Data Using Pattern Matching Algorithms”, International Journal of Industrial Engineering: Theory, Applications and practice, Vol.25, No.2, pp.123-136, 2018. SCI Impact factor 0.537
 Conferences
  1. Ezhil, G. R., Sridevi, S., Srijah, S., & Jaipreetha, S. (2025). Explainable deep learning for predicting diabetic kidney health from retinal biomarkers. In Proceedings of the 17th IEEE International Conference on Computational Intelligence and Communication Networks (CICN 2025).
  2. Srijah, S., Sridevi, S., Ezhil, G. R., & Saranya, T. (2024). Tomato leaf disease classification using an improved ResNet50 architecture. In Proceedings of the International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2024). https://doi.org/10.1007/978-981-96-4933-4
  3. Jeyasoundari, J., Sridevi, S., & Charles Raja, S. (2026). Multimodal GNN-transformer framework for intrusion detection in IoT networks using cross-modal feature fusion. Paper accepted at the 2nd National Research Conclave on Digital Transformation and Sustainable Innovation in Engineering and Science, Thiagarajar College of Engineering (TCE), Madurai, India.
  4. Ezhil, G. R., Sridevi, S., Srijah, S., & Jaipreetha, S. (2025). Explainable deep learning for predicting diabetic kidney health from retinal biomarkers. In Proceedings of the 17th IEEE International Conference on Computational Intelligence and Communication Networks (CICN 2025).
  5. N A. S. V G, M. Thangaraj, M. Nirmala Devi and S. Sridevi, "Explainable Lightweight Intrusion Detection for Internet of Vehicles Using SHAP and XGBoost," 2025 IEEE 17th International Conference on Computational Intelligence and Communication Networks (CICN), Goa, India, 2025, pp. 877-881, doi: 10.1109/CICN67655.2025.11368286.
  6. Jeyasoundari, J., Sridevi, S., Charles Raja, S., & Tharun Gunaseelan. (2025). Real-time secure motion control with AES-GCM over dual-channel IoT communication. in Proceedings of the 17th IEEE International Conference on Computational Intelligence and Communication Networks (CICN 2025), DOI: 10.1109/CICN67655.2025.11368088
  7. Ezhil, G. R., Sridevi, S., Vignaraj Ananth, V., & Raja Subramanian, R. (2025). Explainable deep learning framework for diabetic nephropathy prediction from real-time retinal images. Accepted in IEEE International Conference on Sustainable Computing and Optimized Practices for Excellence (SCOPE 2025), Thiagarjar College of Engineering, Madurai,dec 19-20,2025.
  8. Jaipreetha, S., Sridevi, S., Ashokkumar, B., & Deisy, C. (2025). Cross-modal deepfake detection using image and audio cues. Accepted in IEEE International Conference on Sustainable Computing and Optimized Practices for Excellence (SCOPE 2025), Thiagarjar College of Engineering, Madurai, dec 19-20,2025
  9. Srijah, S., Sridevi, S., Ananthi, G., & Nirmala Devi, M. (2025). Indian mango variety classification using an attention-augmented CNN and random forest framework. Accepted in IEEE International Conference on Sustainable Computing and Optimized Practices for Excellence (SCOPE 2025),Thiagarajar College of Engineering, Madurai,dec 19-20,2025.
  10. Jaipreetha, S., Sridevi, S., Ezhil, G. R., & Srijah, S. (2025). Detecting deepfakes across modalities using image and audio cues. In Proceedings of the 2nd International Conference on Business Intelligence, Computational Mathematics and Data Analytics (IBCD 2025).
  11. J.Jeyasoundari, S.Sridevi and Charles Raja,”Machine Learning-Based Intrusion Detection for Smart Grid Advanced Metering Infrastructure” accepted in RCTCE 25-TCE National Conclave 2025,May16-17,2025
  12. Jaipreetha S, Sridevi S, Ezhil G R, Dhachina Moorthy T S ," Medical FAKE News Detection Using Ensemble Machine Learning Method" accepted in RCTCE 25-TCE National Conclave 2025,May16-17,202
  13. Srijah S,Sridevi S,Ezhil G R,Jaipreetha S,"Artificial Intelligence Powered Soil Health Diagnosis Using Multimodel Soil sense NeuralNetwork",accepted in RCTCE 25-TCE National Conclave 2025,May16-17,2025
  14. Srijah S, Sridevi S, Ezhil G R, Saranya T,"ResNet50 Outperforms VGG16 and VGG19 in Tomato Leaf Disease Classification", International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2024), December 13-14, 2024
  15. J.Jeyasoundari, S.Sridevi and Charles Raja ,"Comparison of Supervised Machine Learning Algorithms with Bagged-Ensemble method for Intrusion Detection." 2024 IEEE Students Conference on Engineering and Systems (SCES),organized by MNNIT Allahabad on June 21- 23, 2024
  16. "Sentimental Analysis Using Deep Learning Models," 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE), Madurai, India, 2023, pp. 1-6, doi: 10.1109/ICEMCE57940.2023.10434008
  17. T. Saranya, C. Deisy and S. Sridevi, "Classical-Quantum Computing Model with MobileNet for Precise Pest Classification," 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE), Madurai, India, 2023, pp. 1-5, doi: 10.1109/ICEMCE57940.2023.10434179.
  18. Moorthy, T.S.D., Nimalan, N., Sridevi, S., Nevetha, B. (2024). Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions. In: Swaroop, A., Polkowski, Z., Correia, S.D., Virdee, B. (eds) Proceedings of Data Analytics and Management. ICDAM 2023. Lecture Notes in Networks and Systems, vol 785. Springer, Singapore. https://doi.org/10.1007/978-981-99-6544-1_9
  19. Saranya, T., Deisy, C., Sridevi, S., Muthu, K.S., Khan, M.K.A.A. (2022). Performance Analysis of First Order Optimizers for Plant Pest Detection Using Deep Learning. In: Khare, N., Tomar, D.S., Ahirwal, M.K., Semwal, V.B., Soni, V. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2022. Communications in Computer and Information Science, vol 1763. Springer, Cham
  20. Sidharth, G., Vasra, A., Sridevi, S., Deisy, C., & Khan, M. K. A. A. (2023). Automation of grievance registration using transfer learning. Paper presented at the Proceedings of 2023 3rd International Conference on Innovative Practices in Technology and Management, ICIPTM 2023, doi:10.1109/ICIPTM57143.2023.10118181.
  21. " Backpack Energy Harvesting System (SEMG) Based Robotic Assistive Device," 2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA), Malacca, Malaysia, 2022, pp. 1-6, doi: 10.1109/ROMA55875.2022.9915657.
  22. Kalaiarasi Sonai Muthu Anbananthen, Sridevi Subbiah, Deisy C , “Improving the Prediction of Crop Yield with a Stacked Generalization Ensemble Method”, in International Conference on Computer, Information Technology and IntelligentComputing ICITIC 2021organized by Multimedia University, Malaysia, 2021.
  23. W. Y. Heng, Sridevi S et al., "Development of a Laboratory-Scale Pipeline Crack Inspection Robot," 2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS), 2021, pp. 265-269, doi: 10.1109/I2CACIS52118.2021. 9495871.(Scopus Indexed).
  24. A.Sajeev Krishna, S.Sridevi et.al., “An Intelligent Smart Waste Management System using Mobile Application and IoT” accepted in 4th International Conference on Machine Intelligence and signal Processing (MISP 2022), March 12-14, 2022 organized by NIT Raipur . The proceedings will be published in Lecture notes in Electrical Engineering, Springer. (Scopus Indexed)
  25. Saraswathy Meena R, Saranya R, Deisy C, Parthasarathy S, Sridevi S, “A Decision Support System for understanding the importance of Two-dosage Vaccination”, in International Conference on Computational Methods and Data Engineering - ICCMDE organized by VIT Vellore, 2021. Accepted to publish in Scopus indexed book chapter. .(Scopus Indexed).
  26. Abdul Quaayum, S Sridevi et al, “An efficient 1DCNN-LSTM deep learning model for assessment and classification of fMRI-based autism spectrum disorder”, in 3rd International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2021), organized by RVS College of Engineering and Technology, 2021. Accepted to publish in Scopus indexed book chapter.
  27. Nazmus Sakib Ribhu , S Sridevi et al , “Investigation of Gait and Biomechanical Motion for Developing Energy Harvesting System”, Proceedings of International Conference on Sustainable Expert Systems, held in Nepal , published in Lecture notes in networks and systems, Springer, pp.151-167, 2021. (Scopus indexed)
  28. Duc Chung Tran,M. K. A. Ahamed Khan , S Sridevi, "On the Training and Testing Data Preparation forEnd-to-End Text-to-Speech Application", 2020 11th IEEE Control and System Graduate Research Colloquium (ICSGRC 2020), 8 August 2020, Shah Alam, Malaysia
  29. S Sridevi et al, "Analysis of a Modified Single Phase Multilevel Cascaded Inverter Circuit," 2020 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), Shah Alam, Selangor, Malaysia, 2020, pp. 112-117, doi: 10.1109/I2CACIS49202.2020.9140197. (Scopus Indexed)
  30. Sridevi S et al , "Hybrid 3D-ResNet Deep Learning Model for Automatic Segmentation of Thoracic Organs at Risk in CT Images”, 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, Russia, 2020, pp. 1-5, doi: 10.1109/ICIEAM48468.2020.9111950. (Scopus Indexed)
  31. Sridevi S, Mahalakshmi G, Saranya T, Parthasarathy S and Chandrakumar T, Forecasting Of Time Series Data Using Fuzzy Based Multi-granular Model, 19th Global Conference on Flexible System Management (Glogift- 19), IIT Roorkee,6-8 Dec 2019, pp.442-454.
  32. T.Saranya, S.Sridevi, C.Deisy, Tran Duc Chung, M.K.A.Ahamed Khan, “Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review” Procedia Computer Science, Elsevier, 171 (1), pp. 1251-1260, 2020.(Scopus Indexed).
  33. S.Sridevi, U.Abirami, "Traffic flow prophecy with Map Reduce job for Big Data driven Approach", Eighth International Conference on Advanced Computing (ICoAC'17) at MIT, Anna University, Chennai during 19- 21 January, 2017.
  34. G.MahaLakshmi, S.Sridevi, "Forecasting of Fuzzy Time Series Data using Improved Genetic Algorithm", in National Conference on Research Challenges in SMAC organized by TCE during 29 january to 30 January, 2016.
  35. Dr.S.Sridevi, G.Mahalakshmi, Dr.S.Rajaram, "A Survey on Forecasting of time series data" in the IEEE International Conference on ICCTIDE'16 organized by NEC,Kovilpatti during 7 and 9th January'2016.
  36. Dr.S.Sridevi, G.Mahalakshmi, Dr.S.Rajaram, " Forecasting of time series data using improved Particle Swarm Optimization" presented at the Third International Conference on BAI conducted by IIM, Bangalore during 17 and 19 dec'15.
  37. S.Sridevi, Dr.S.Rajaram, “Comparison of fuzzy based forecasting methods of time series data”, ICDMSCT 2013 held at Sastra University, Tanjore.
  38. S.Sridevi, Dr.S.Rajaram,C.Parthiban, S.SibiArasan, C.Swadhikar, “Imputation for the analysis of missing values and prediction of time series data”, ICRTIT’11 available in IEEE Explore digital Library , ISSN-978-1-4577-0588-5, pp.1158-1163,2011 held at MIT,Anna University, Chennai.
  39. G.Akil Arasu, S.Sridevi, , “Pattern discovery of time series using correlation mining”, ICOM’10, pp. 551-556, 2010 held at Anna University, Trichy.
  40. G.Freethy , S.Sridevi, M.Sivakumar , “Steerable pyramid decomposition for Rotation, scale and Illumination invariant texture image retrieval”, ICACC’09 , pp.2290 - 2295, organized by Thapar University, Patiala.
  41. S.Sridevi, G.Freethy , “Steerable pyramid decomposition for rotation and scale invariant texture image retrieval”, NCACA’09 , pp.361 -366, organized by PSG College of Technology, Coimbatore.
  42. S.Sridevi, A.Kannan, “Weather Prediction using Asynchronous Periodic Pattern Mining in Temporal Databases”, ICOREM’09 ,pp.2901 -2919, 2009, held at Anna University, Trichy.
  43. S.Sridevi, G.Freethy ,M.Sivakumar , “Rotation invariant texture image retrieval with steerable pyramid decomposition”, NCMIPMV’08 , pp. 45 – 49, organized by Rajalakshmi Engg College, Chennai.
  44. S.Sridevi , K.S.Pradeep Kumar , “Image Retrieval using Linear Genetic Programming”, NCRTIT’08, pp. 58-63, organized by KCET,Virudhunagar.
  45. S.Sridevi , Khanna Nehemia , Dr.A.Kannan , “Temporal Rule Mining in Clinical Databases”, NCDMA’06, pp.111 -116, organized by Annamalai University, Chidambaram
  46. S.Sridevi, Dr.S.Rajaram, C.Swadhikar, “An intelligent prediction system for time series data using Periodic Pattern Mining in Temporal Databases”, IITM’10, Indexed in ACM Digital Library, ISBN: 978-1-4503-0408-5, Pp163-171, 2010 held at IIIT, Allahabad. (Scopus indexed)
  47. M.Yalini, S.Sridevi, “An Approach for Storing and Retrieving Health Informatics Big Data” in IEEE International conference on innovative communication and computing technologies, 2018 (indexed in IEEE Digital Library)
  48. Ezhil G R, S.Sridevi ,Srijah S and Rajaram S ,Leveraging Innovative CNN Architectures for Diabetic Retinopathy Detection," 22nd OITS International Conference on Information Technology 2024, SRM UNIVERSITY, AP- Dec 12-14
  49. Investigation of Kinetic Energy Harvesting from Human Body Motion Activities Using Free/Impact Electromagnetic Generator, Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_18
 Books
  1. S Sathees Kumaran, S Sridevi, Yu-Dong Zhang,Valentina Emilia Balas, Tzung-Pei Hong, “Innovative and Intelligent Computing for Global Sustainability”, Sustainable Economy and Ecotechnology Series, Springer, 2026. https://doi.org/10.1007/978-3-031-97385-7
  2. Ishwarya, T., Nirutthyusha Sri, S.S., Uma, K.V., Sridevi, S. (2026). Emotion-Based Music Recommendation System. In: Sathees Kumaran, S., Sridevi, S., Zhang, YD., Emilia Balas, V., Hong, TP. (eds) Innovative and Intelligent Computing for Global Sustainability. Sustainable Economy and Ecotechnology. Springer, Cham. https://doi.org/10.1007/978-3-031-97385-7_22.
  3. Ezhil, G.R., Sridevi, S., Jaipreetha, S., Srijah, S. (2026). Rapid and Precise Diabetic Retinopathy Detection Using OCT Features in Retinal Imaging. In: Sathees Kumaran, S., Sridevi, S., Zhang, YD., Emilia Balas, V., Hong, TP. (eds) Innovative and Intelligent Computing for Global Sustainability. Sustainable Economy and Ecotechnology. Springer, Cham. https://doi.org/10.1007/978-3-031-97385-7_6.
  4. Ishwarya T, Nirutthyusha Sri SS, K. V. Uma and S. Sridevi, "Emotion Based Music Recommendation System " CTCE 25-TCE National Conclave 2025,May16-17,2025,accepted in springer SEE Bookseries
  5. Ananthi G, Sridevi S, Manikandan T, “Environment Twin based Deep learning model using Reconfigurable Holographic Surface for user location prediction”, accepted in Artificial Intelligence in IoT and Cyborgization, Springer, 2023.
  6. V AAkash, S Sridevi, G Ananthi, S Rajaram, Book chapter on Forecasting of Novel Corona Virus Disease (Covid-19) using LSTM and XG Boosting algorithms in the Book Data analytics in Bioinformatics-A Machine learning Perspective,Wiley Publishers,2021
  7. P Saranya, S.Sridevi, Dr.S.Rajaram, ‘Mining undemanding and intricate patterns with periodicity in time series databases’, Advances in Intelligent Systems and Computing, Springer, vol.1, pp.785-792,2014.

 Projects

TITLE SPONSORING AGENCY AMOUNT RESPONSIBILITY
AI NAMS AI POWERED NARCOTICS AND ANALYTICS MANAGEMENT SYSTEMS DST IIT INDORE DISHA 2.0 Program Rs.15 Lakhs Co-PI
Ph.D Fellowship Visveswaraya Scheme – 2 Part Time Scholar - 5 Years MeitY Rs.3 Lakhs Nodal Officer
Ph.D Fellowship Visveswaraya Scheme – 2 Full Time Scholars - 5 Years MeitY Rs.72 Lakhs Nodal Officer
AI-POWERED STRAY ANIMAL DETERRENT AND CROP PROTECTION SYSTEM TCE Seed Money Scheme Rs. 25,000 PI

 Consultancy

NAME OF INDUSTRY DETAILS PERIOD
WGTech Solutins Pvt Ltd Principal Investigator 01-04-2026 to 31-12-2026
TVS EURO GRIP Principal Investigator 01-03-2026 to 31-08-2026
TVS EURO GRIP Principal Investigator 21-04-2025 to 31-12-2025
Honeywell Technology Solutions Lab Private Limited Research work and consultancy 01-03-2022 to 31-08-2022
AerX Lab Inc, Bangalore Piolt Proficiency Measurement System 01-09-2015 to 30-06-2016
Amadasoft 3D Modelling, Avatar Creation and Animation using Opensim and Second Life 01-01-2008 to 24-04-2010

 Seminar, Conference, Workshop Attended

  1. 2.FDP on "Recent trends in AI and ML" Siddartha Institute of Science and Technology, 26.09.2022 to 30.09.2022.
  2. AICTE- ISTE Refresher programmer on Medical Data Analytics with Python organized by Anna University Regional Campus, Tirunelveli from, 04-01-2022 to 10-01-2022
  3. Continuing Education Program on “COMOS for Industry 4.0” Organized by the Department of Electrical and Electronics Engineering & Industry Academia Cell - AVIT in association with VI Micro Systems Pvt Ltd., 27-07-2021 to 30-07-2021
  4. FDP on “Research Challenges & Opportunities of Cloud and Service Computing”, is organized by Department of Information Technology, Thiagarajar College of Engineering, Madurai, 16-07-2021 to 17-07-2021
  5. Two Weeks FDP on “Data Science” organized by IIT Kanpur, 05-07-2021 to 16-07-2021
  6. AICTE sponsored Quality Improvement Programme (QIP) short-term course on "Machine Learning for Natural Language Processing and Internet of Things" organized via online mode by the Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, 22-01-2021 to 26-01-2021
  7. TEQIP III sponsored Short-term course on “Research Methodology in Science and Engineering” organized BY IIT Indore during, 26-12-2020 to 30-12-2020
  8. International Webinar titled ​“ ​Recent Trends in Brain Computer Interface with Machine Learning Techniques ​”​, ​on 9th & 10th October 2020, ​Organised BY SRM Institute of Science and Technology, Chennai, 09-10-2020 to 10-10-2020
  9. TEQIP-III Sponsored One Week Short Term Course on Data Analytics Tools and Techniques (DATT-2020) , Dr B R AmbedkarNational Institute of Technology Jalandhar, 22-09-2020 to 26-09-2020
  10. Online FDP on "Developing learner-centric online courses: Resilient teaching approach", TCE, 10-08-2020 to 11-08-2020
  11. One day Webinar on "Building and Deploying Machine Learning Pipelines in the Cloud" , SSN Chennai, 19-07-2020 to 19-07-2020
  12. Online FDP on "Design, Develop and Deliver online courses through MOODLE platform" organized by Department of Technical Education .State Project Implementation Unit - Tamil Nadu & Coimbatore Institute of Technology, 23-04-2020 to 24-04-2020
  13. One Day Workshop on C and C organised by the Teaching Learning Centre (ICT) at IIT Bombay, held at TCE, 29-02-2020 to 29-02-2020
  14. NPTEL Certification and FDP Course on "Python for Data Science", IIT Cennai, 01-02-2020 to 30-04-2020
  15. NPTEL Certification and FDP Course on "Data Analytics with Python - 12 Weeks online" IIT Roorkee, 01-01-2020 to 30-04-2020
  16. MHRD Sponsored TEQIP FDP ON "A case Based Short Term Course on Advanced Data Analytics with Python Programming", IIT Roorkee, 20-05-2019 to 24-05-2019
  17. AICTE Sponsored Three day National Seminar on "Research Issues and Opportunities in VLSI Nanoelectronic device", TCE., 12-04-2019 to 14-04-2019
  18. TEQIP Sponsored One week Workshop on "DataScience for Internet of Things", MCA, TCE, 04-02-2019 to 09-02-2019
  19. AICTE -QIP Sponsored One week Short Term Course on "Deep Learning for Visual Computing", CSE, TCE., 28-01-2019 to 03-02-2019
  20. TEQIP Sponsored Two days workshop on "BlockChain Technology", IT,TCE, 23-11-2018 to 24-11-2018
  21. ACM DSP on "Privacy and Security in Online Social Media", 27-07-2018 to 27-07-2018
  22. Attended AICTE Two weeks workshop on "Context Aware Recommender Systems" held at TCE, 20-11-2017 to 03-12-2017
  23. TEQIP Sponsored One week Workshop on "Practical Python", CSE, TCE, 04-09-2017 to 09-09-2017
  24. Attended 10 weeks IUCEEE (Indo Universal Collaborations for Engineering Education) – EPICS (Engineering Projects in Community Services) design thinking Programme, 01-09-2017 to 11-01-2018
  25. Attended 8 Weeks NPTEL Certificate Programme for the Course “Cloud Computing” during August - October 2017 and received the certification with “Elite” Grade., 15-08-2017 to 21-10-2017
  26. TEQIP Sponsored One week workshop on "Real Time Data Analytics" held at TCE., 09-03-2017 to 15-03-2017
  27. GIAN course on "Social Network Analysis" held at IIT, Hyderabad, 17-12-2016 to 23-12-2016
  28. TEQIP - II sponsored One day workshop on “Standard Operating Procedures for TCE”, held at TCE, 22-11-2016 to 22-11-2016
  29. DST-SERB Sponsored Two day workshop on "Computational Intelligence for Big Data Analytics" held at TCE, Madurai, 17-11-2016 to 18-11-2016
  30. TEQIP - II sponsored one day workshop on “R Software for Statistical Computing in Research", held at TCE, 11-11-2016 to 11-11-2017
  31. TEQIP - II sponsored one day workshop on “ICT Tools for Engineering Education", held at TCE, 09-11-2016 to 09-11-2016
  32. DST – SERB Sponsored 3 – day seminar on “Current Research Trends in Computational Techniques in Bioinformatics” held at TCE., 21-09-2016 to 23-09-2016
  33. 3 days workshop on IUCEE International Engineering Educator Pre- Certification Workshop conducted by Dr.Claire Komives, Professor, San Jose State University, US., 09-08-2016 to 11-08-2016
  34. Two days residential training programme on " Basic Counselling and Psychotherapy Skills" held at CESCI, Madurai, 16-10-2015 to 17-10-2015
  35. Two days Technical Seminar on " Video Analytics" conducted by Mepco Schlenk Engg College, 18-09-2015 to 19-09-2015
  36. TEQIP sponsored one day workshop on “Network Performance and Vulnerability Analysis", held at TCE., 06-04-2015 to 06-04-2015
  37. One day workshop on "Formal Methods" conducted by TCE, 05-03-2015 to 05-03-2015
  38. One day workshop on SciLab Certification conducted by IIT, Bombay, 07-07-2014 to 07-07-2014
  39. One week workshop on "Databases: Learning through activity", TCE, 23-06-2014 to 27-06-2014
  40. TEQIP sponsored one day workshop on “Cyber Security", held at TCE., 26-03-2014 to 26-03-2014
  41. One day workshop on “Research trends and application of Heuristic algorithms in design and Manufacturing”,TCE, 23-12-2013 to 23-12-2013
  42. TEQIP Sponsored one week FDP on “IBM System Z Main Frame Computing", TCE., 18-11-2013 to 23-11-2013
  43. TEQIP Sponsored workshop on "Outcome based Education", TCE, 04-11-2013 to 05-11-2013
  44. TEQIP Sponsored one day workshop on "Recent Trends and Research Challenges in Business Analytics and Optimization", held ON August 13, 2013, at TCE., 13-08-2013 to 13-08-2013
  45. One day Workshop on “ Applications of Soft Computing Techniques in Information Retrieval and Knowledge Discovery” , TCE,, 10-04-2013 to 10-04-2013
  46. 3 days workshop on “Big Data Analytics”, CEG Campus, Anna University, Chennai, 18-01-2013 to 20-01-2013
  47. One day FDP on “ Mobile Computing” , TCE, 03-08-2012 to 03-08-2012
  48. One day FDP on “ Data Mining” , Honeywell, Madurai, 31-07-2012 to 31-07-2012
  49. 2 days workshop on “System Integration Challenges and solutions for mixed signal design”, TCE, 04-07-2011 to 05-07-2011
  50. 2 day workshop on Data mining tools, VIT, Vellore, January 7-8,2010
  51. 3 day workshop on Digital Image and Video Processing, NIT,Trichy, November 7 -9,2009
  52. Data Mining Workshop on “PASW MODELER”, NIT,Trichy, August 24,2009
  53. National Conference on “free open source Software – FOSS’09, TCE, 27-02-2009 to 01-03-2009
  54. SDP On Web Services And Applications, Sri Sairam Engg College And Tcs, May 5- May 17,2008
  55. FDP On Four Year Curricula And How To Raise The Bar Of Competency For Students, TCE, 30th November,2007.
  56. SDP On Multimedia Data Types And Formats, CSE, TCE, 12th November to 24 November,2007
  57. FDP On SDLC And Project Management-Best Practices, CSE, TCE, July 27- July 28,2007
  58. Applications Of Evolutionary Computations To Engineering Optimization Problems, EEE, TCE, May 28- June 1 , 2007
  59. International Conference on Signal Processing, Communications and Networking (ICSCN-2007, MIT,Anna University), 22-02-2007 to 24-02-2007
  60. NCDMA, Annamalai University, 2006

 Seminar, Conference, Workshop Organised

  1. Two Day Hands-On Workshop on “Data Warehouse Creation for Real Time Projects”, Department of Information Technology, Thiagarajar College of Engineering, Madurai. , 24-01-2020 to 25-01-2020
  2. Secretary, Organised International Conference on SUSTAINABLE COMPUTING AND OPTIMIZED PRACTICES FOR EXCELLENCE, 2025, 18-12-2025 to 20-12-2025
  3. Two days Hands on Workshop on “Generative AI in Action: Exploring Techniques with Use Cases,", 02-04-2025 to 03-04-2025
  4. Tamil Nadu State Government Sponsored Five Day Online Faculty Development Programme On “Integrated Artificial Intelligence(AI) in Data Science and its Applications in Cloud”,, 06-03-2023 to 10-03-2023
  5. 10 hours Joint teaching along with Prof.A. Ramesh, IIT Roorkee for the course on “Data Mining”, 01-11-2021 to 11-11-2021
  6. Three days’ Workshop on " Machine Learning techniques for Real-World Applications using Python”, 29-07-2021 to 31-07-2021
  7. IET Sponsored one day workshop on “Recent Trends in Information Technology” . Sanctioned amount from IET Kanyakumari Local Network: Rs.10,000., 22-05-2021 to 22-05-2021
  8. Organized TEQIP -III Sponsored One day Webinar on "Machine Learning for Data Science Applications”, Experts: Prof. Mohd Fauzi Zanil, UCSI University ,Malaysia, 23-01-2021 to 23-01-2021
  9. Organized Webinar on "Applications of RDBMS in the Industry", Experts: Mrs.Keerthana, Senior Application Developer, Oracle, 22-08-2020 to 22-08-2020
  10. Organized Webinar on " Block Chain Technology", Experts : Dr. Kunwar Singh, NIT-Trichy, 30-05-2020 to 30-05-2020
  11. Organized Webinar on "“Artificial Intelligence Vs Machine Learning Vs Deep Learning – Discussion with Case Studies”, 29-05-2020 to 29-05-2020
  12. TEQIP Sponsored Two-day Workshop on " Data Warehouse Creation for Real Time Projects",, 24-01-2020 to 25-01-2020
  13. TEQIP Sponsored Two-day Workshop on "Machine Learning Algorithms in Big Data Analytics for Engineering Applications”, 11-09-2019 to 12-09-2019
  14. TEQIP III SPONSOREDTwo Day Workshop on “Big Data Analytics for Cyber Security Solutions, 18-09-2018 to 19-09-2018
  15. TEQIP Sponsored One Week Workshop on "Real Time Data Analytics" held at TCE., 09-03-2017 to 15-06-2017
  16. One day workshop on "Flight Simulator" conducted by Aerx Lab, Bangalore, 09-12-2015 to 09-12-2015
  17. Seminar on "Rich Internet Applications" by Adobe,, 01-01-2011 to 02-01-2011
  18. Seminar on "Computer Vision on Navigation Approach" by Ibrahim, Senior Software Engineer, Honeywell, Bangalore, 08-01-2010 to 08-01-2010

 M.E./Ph.D. Scholars

NAME OF SCHOLAR COURSE AREA OF RESEARCH STATUS
Ms T Saranya M.E/M.S “Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: Completed
Ms M Yalini M.E/M.S Healthcare Analytics Completed
Ms G.Mahalakshmi M.E/M.S Forecasting of time series data Completed
Ms Jeyasoundari J Ph.D INTRUSION DETECTION SYSTEM(IDS) IN WIRELESS SENSOR NETWORKS Ongoing
Ms.Ezhil G R Ph.D EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR HEALTH CARE SYSTEM Ongoing
Ms.Srijah S Ph.D ARTIFICIAL INTELLIGENCE BASED DECISION SUPPORT SYSTEM FOR SMART AGRICULTURE Ongoing
Ms Jai S Preetha Ph.D FAKE NEWS DETECTION THROUGH GENERATIVE AI Ongoing
Ms.Stephie Rachel I Ph.D Air Quality Prediction using Deep Neural Networks Ongoing
Ms. Vamsipriyanka Gandepalli Ph.D AI-DRIVEN CLOUD BASED MODELING FOR PREDICTIVE TIME SERIES ANALYSIS OF CLIMATIC DATA Ongoing

 Lectures Delivered

TOPIC DELIVERED AT PERIOD
The Role Of Generative AI National Technology Day, Kalaignar Centenary Library,Madurai 11-05-2024 to 11-05-2024
Applications of AI in time series Analysis GCT Coimbatore 10-03-2023 to 10-03-2023
Time series Data Analytics in Three days Workshop on " Machine Learning techniques for Real-World Applications using Python” 29th – 31st July, 2021, Thiagarajar College of Engineering TCE,Madurai 31-07-2021 to 31-07-2021
"Predictive Analytics in Healthcare Applications", in Phase-II AICTE-ISTE sponsored Induction/Refresher programme on "Data science in Engineering applications Anurag University, Hyderabad 18-03-2021 to 18-03-2021
AICTE –QIP Sponsored two week short term course on “Research Perspectives in Data Management Schemes in Engineering Applications Alagappa Chettiar Government College of Engineering and Technology . Karaikudi 10-12-2019 to 10-12-2019
Temporal Data Analytics for Business Intelligence NIT, Trichy 11-08-2016 to 11-08-2016
Multimedia Fundamentals Tamilnadu Agricultural University, Madurai 07-04-2010 to 07-04-2010
Computer knowledge and Microsoft Office for School Headmasters TCE,Madurai 08-01-2010 to 08-01-2010
Preplacement talk in “C Programming” for TCE Third Year Mechanical Students TCE,Madurai 23-04-2009 to 23-04-2009
Microsoft Office for TCE Office Assistants TCE,Madurai 18-07-2008 to 18-07-2008
Image, Video ,Audio Formats And Its Compression Techniques in SDP On Multimedia TCE,Madurai 14-11-2007 to 16-11-2007

  Awards and Honours

  1. AN AUTOMATED LOW-COST SEED SOWING MACHINE – AN AGRICULTURAL PRODUCT, Utility patent published on
  2. SMART HUMANOID ROBOT FOR FACE MASK AND SANITIZER DISPENSING”, Design number: 6322576, Grant date: 07 November 2023, International Design patent granted on
  3. Anna University, Doctoral Committee Member for the Ph.D Scholar registered in Anna University, Chennai.
  4. Satayabama University, Doctoral Committee Member for Sathyabama University
  5. TCS, Under my guidance 2008 passed out BE students received "BEST TCS PROJECT" AWARD for the project " Information Kiosk".
  6. IUCEE, Reviewer in International Conference on Transformations in Engineering Education, Jaipur
  7. NIT Mizrom, Technical Program Committee member of FICTA 2021, NIT Mizoram
  8. VIT Vellore, Expert Member for Ph.D Viva Voce Examination, VIT -Vellore, MK University- Madurai, KLU- Krishnan Kovil
  9. Anna University, Expert Member for Ph.D Viva Voce Examination, Anna University
  10. Received Elite Grade with Silver Medal for the NPTEL Course on "Data Science for Engineers", IIT Chennai
  11. IEEE, Session Chair for IEEE International Conference on Computational Research and Computing Research, 2018
  12. IUCEE, 13.Evaluator for the 12 weeks IUCEE-EPICS Design Thinking Course, 2018.
  13. Certificate of Distinction for IUCEE -EPICS Design thinking Course by securing 100% mark, IUCEE
  14. Received Honour Code Certificate for the course" Basic 3D animation using Blender " , IIT Bombay
  15. IBM Certified Web sphere Studio Application Developer, IBM

 Membership

NAME OF SOCIETY DETAILS PERIOD
IAENG Membership No: 125032
IET Membership No: 1100869693
Internet Society Membership No:2186803
CSI Membership No: l1501771
ACM Membership No: 5480839
IACSIT Membership No:80333694

  Other Achievements

  1. Technical Program committee member in the international conference on MIND’2019(NIT Kurukshetra), MIND’2020 (NIT Silchar), MIND’2021 (NIT Raipur)
  2. Mentor for the Top Ten Finalists in International Contest ResFest’2021- organized by FPT University, Vietnam.
  3. Mentor for the Top Ten Finalists in International Contest ResFest’2021- organized by FPT University, Vietnam.
  4. Mentor for the Makeathon contest organized by JNTU, Ananthapuramu – TCE Team won a third prize with the cash amount of Rs. 6,000, 2021.
  5. Courseera online Certification course on Datascientist's Toolbox,Johns Hopkins University,USA
  6. Courseera online Certification course on Datascientist's Toolbox,Johns Hopkins University,USA
  7. completed Edx certification on “Introduction to Probability” by Harvard University, 2021.
  8. Reviewer in IGI Global Publishers
  9. Reviewer in Inderscience
  10. Reviewer in IGI Global Publishers
  11. Reviewer in Emerald
  12. Reviewer in ICTIEEJ 2017(CMT) , Fourth International Conference on Transformations in Engineering Education, Jaipur Section, IUCEE
  13. Reviewer in Computers in Biology and Medicine, Elsevier
  14. Reviewer in International Journal of Industrial Engineering: Theory, Applications and Practice
  15. Reviewer in Computer Methods and Programs in Biomedicine, Elsevier
  16. Reviewer in . Proceedings of the National Academy of Sciences, Physical Sciences (NASA) , Springer