PUBLICATIONS

Journals

1. Pugazhendhi, S., Govarthan, Praveen, Gokul, S., Sudhakar, S., Ronickom, J. F. A., & Swaminathan, R. (2026). Analysis of Pre-Cancerous Structural Changes Associated with Koilocytotic Cervical Epithelial Cells in Pap Smear Images. Journal of Medical and Biological Engineering, 1-7. https://doi.org/10.1007/s40846-026-01028-8 (Springer Nature, IF: 1.9)

2. Govarthan, Praveen, Peddapalli, S. K., Ganapathy, N., & Ronickom, J. F. A.(2024). Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques. Expert Systems with Applications, 254, Article: 124371. https://doi.org/10.1016/j.eswa.2024.124371 (Elsevier, IF: 8.5)

3. Peddapalli, S. K., Govarthan, Praveen, Aleem S. G. A., Ganapathy, N., & Ronickom, J. F. A.(2024). Deep Learning-Based Automated Emotion Recognition Using Multimodal Physiological Signals and Time-Frequency Methods. IEEE Transactions on Instrumentation & Measurement. https://doi.org/10.1109/TIM.2024.3420349 (IEEE, IF: 5.6)

4. Pragya, P., Govarthan, Praveen, Nayak, M., Mukherjee, S., & Agastinose Ronickom, J. F. (2024). Establishment of Three Gene Prognostic Markers in Pancreatic Ductal Adenocarcinoma Using a Machine Learning Approach. Journal of Medical and Biological Engineering, 1-9. https://doi.org/10.1007/s40846-024-00859-7 (Springer, IF: 1.9)

5. Jeswani, D., Govarthan, Praveen, Selvaraj, A., Thomas, J., Thomas, J., & Agastinose Ronickom, J. F. (2023). A feasibility study on using EEG for Biometric Trait Authentication System. Current Directions in Biomedical Engineering, 9(1), 690. https://doi.org/10.1515/cdbme-2023-1174 (De Gruyter Brill, IF: 0.55)

6. Swarubini, P.J., Sriram Kumar P, Govarthan, Praveen, Purkayastha, M., Deb, P., Sairam, S., Asaithambi, M., & Agastinose Ronickom, J. F. (2023). ECG-based Categorical emotion classification using time-domain features and Machine Learning. Current Directions in Biomedical Engineering, 9(1), 694. https://doi.org/%2010.1515/cdbme-2023-1173 (De Gruyter Brill, IF: 0.55)

7. Peddapalli, Sriram & Govarthan, Praveen & Ganapathy, Nagarajan & Fredo, Jack. (2023). A Comparative Analysis of EDA Decomposition Methods for Improved Emotion Recognition. Journal of Mechanics in Medicine and Biology. 2340043. https://doi.org/10.1142/S0219519423400432 (World Scientific, IF: 0.8)

8. Peddapalli, Sriram & Govarthan, Praveen & Ganapathy, Nagarajan & Fredo, Jack. (2023). Electrodermal activity-based analysis of emotion recognition using temporal-morphological features and machine learning algorithms. Journal of Mechanics in Medicine and Biology. 2340044 https://doi.org/10.1142/S0219519423400444  (World Scientific, IF: 0.8)

9. Govarthan, Praveen & Prakash, S. & Sangeetha, B. & Asha, R. & Suganthi, L. & Balathay, Divya. (2020). Wireless Real-Time Electrogastrography Monitoring System. Journal of Computational and Theoretical Nanoscience. 17. 3724-3732. https://doi.org/10.1166/jctn.2020.9268 (American Scientific Publishers)

Conference Publications

1. Govarthan, P. K., Ronickom, J. F. A., & Swaminathan, R. (2026). Identification of Cervical Cancer Biomarkers Using Gene Co-Expression Networks and Machine Learning Methods. Studies in health technology and informatics, 336, 398-402. https://ebooks.iospress.nl/doi/10.3233/SHTI260185

2. Govarthan, P. K., Ronickom, J. F. A. & Swaminathan, R. (2025). Age-Associated Differential Gene Expression in Early-Stage Cervical Cancer Patients. In: Singh, M. et al. Advances in Computing and Data Sciences. ICACDS 2025. Communications in Computer and Information Science, vol 2764. Springer, Cham. https://doi.org/10.1007/978-3-032-13757-9_20

3. Pragya, Govarthan, P. K., Sinha, K., Mukherjee, S., & Agastinose Ronickom, J. F. (2023). Differential Gene Expression Data Analysis of ASD Using Random Forest. Studies in health technology and informatics, 302, 1047–1051. https://doi.org/10.3233/SHTI230344

4. Govarthan, P. K., Kumar, P. S., Ganapathy, N., & Ronickom, J. F. A. (2023, October). Investigating Windowing Techniques in Emotion Classification with ECG and Machine Learning. In 2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA) (pp. 348-353). IEEE. https://doi.org/10.1109/ICCCMLA58983.2023.10346740

5. Nivedhitha, S., Akshaya, M. V., Govarthan, P. K., Munirathnam, R., Ramaniharan, A. K., & Ronickom, J. F. A. (2023, October). Deep Learning-Based Diagnosis of ASD Using Pre-Trained Convolutional Neural Network. In 2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA) (pp. 584-589). IEEE. https://doi.org/10.1109/ICCCMLA58983.2023.10346883

6. Govarthan, P. K., Sriram Kumar P, Ganapathy, N., & Agastinose Ronickom, J. F. (2023). Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals. Studies in health technology and informatics, 305, 40–43. https://doi.org/10.3233/SHTI230418

7. Lebaka, L. N., Sriram Kumar P, Govarthan, P. K., Rani, P., Ganapathy, N., & Agastinose Ronickom, J. F. (2023). Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning. Studies in health technology and informatics, 305, 52–55. https://doi.org/10.3233/SHTI230422

8. Barigala, V. K., Sriram Kumar P, Govarthan, P. K., Pj, S., Aasaithambi, M., Ganapathy, N., Pa, K., Kumar, D., & Agastinose Ronickom, J. F. (2023). Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression. Studies in health technology and informatics, 305, 81–84. https://doi.org/10.3233/SHTI230429

9. Sriram Kumar P, Govarthan, P. K., Ganapathy, N., & Agastinose Ronickom, J. F. (2023). Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning. Studies in health technology and informatics, 302, 73–77. https://doi.org/10.3233/SHTI230067

10. Jeswani, J., Govarthan, P. K., Selvaraj, A., Prince, A., Thomas, J., Kalathe, M., Subramaniam, V., & Agastinose Ronickom, J. F. (2023). Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System. Studies in health technology and informatics, 302, 257–261. https://doi.org/10.3233/SHTI230114

11. Govarthan, P. K., Ganapathy, N., & Agastinose Ronickom, J. F. (2022). Deep-learning framework for ECG based categorical emotional states assessment. XXII International Conference on Mechanics in Medicine and Biology, University of Bologna, Bologna, Italy. 32. https://doi.org/10.6092/unibo/amsacta/7024 

12. Pragya, Jaya Devi KM, Govarthan, P. K., & Ronickom, J. F. A. (2025). Exploring Machine Learning Applications in Estimating Binding Energies of Therapeutics for PDAC Targets. 12th International Conference on Soft Computing & Machine Intelligence, Rio de Janeiro, Brazil, November 21-23, 2025. pp. 6-9, https://doi.org/10.1109/ISCMI67495.2025.11358496 

Conference Presentations

1. Govarthan, P. K., Sivakumar, A., & Swaminathan, R. (2026). Analysis of Nuclear Chromatin Texture and Radial Organization for Size-Independent Detection of Precancerous Cervical Cellular Changes, Carnegie Mellon Forum on Biomedical Engineering, virtual, September 25, 2026.

2. Govarthan, P. K., Sivakumar, D., Jegan, S., Chakravarthy, N., Kumar, K., Pugazhendhi, S., Kamalakaran, G., Prabakaran, A.V., & Swaminathan, R. (2026). Analysis of morphological changes in precancerous cervical cells using Segment Anything Model approaches, 24th International Conference on Mechanics in Medicine and Biology, Singapore, October 6-8, 2026. 

3. Govarthan, P. K., Vijayarajan, D., Sundaresan, H., Sudhakar, S., & Swaminathan, R. (2026). Proposal of a Physics-Informed Neural Network Framework as Digital Twin for Early Sepsis Detection, 9th International Conference on the Virtual Physiological Human, Milan, Italy, September 1-4, 2026.

4. Govarthan, P. K., Arumugam, P., Ranganathan, L.R., Chakravarthy, V., & Swaminathan, R. (2026). A Comprehensive Multimodal Neurological Imaging Repository for the Indian Population to Advance AI Diagnostics, Alzheimer's and Parkinson's Diseases and Related Disorders 2026, Copenhagen, Denmark, March 17-21, 2026.

5. Govarthan, P. K., Ronickom, J. F. A. & Swaminathan, R. (2025). Age-Specific Hub Gene Identification in Early-Stage Cervical Cancer using Gene Co-expression and Protein Interaction Networks. Recent Advances in Medical Science and Technology (RAdMed-2025), IIT Kharagpur, West Bengal, India, December 17-19, 2025. 

6. Pugazhendhi, S, Senthil, V, Thulasiraman, T.S, Govarthan, P. K., & Swaminathan, R. (2026). Morphometric Evaluation of Perinuclear Halo in Koilocytotic Cervical Cells. 7th Indian Conference on Applied Mechanics (INCAM-2026), Kanpur, India, July 9-11, 2026. 

7. Pugazhendhi, S, Gokul, S, Govarthan, P. K., & Swaminathan, R. (2026). Morphometric Analysis of Cervical Cytology for Automated Classification of Koilocytotic and Superficial Epithelial Cells. 7th Indian Conference on Applied Mechanics (INCAM-2026), Kanpur, India, July 9-11, 2026.