Dr. Daphin Lilda. S

• Machine learning, Deep learning, and Transfer learning
• Optimization techniques
• Image Processing
• Time series prediction

• Digital Logic Circuits
• Signal Processing
• Digital Signal Processing
• Electromagnetic Theory
• Machine Learning and Deep Learning
• VLSI technology
• Embedded Systems

Journal Publications:

• Lilda, S.D., Jayaparvathy, R., Kumar, S.P. et al. Improving the classification of cardiovascular diseases using statistical features obtained from empirical mode decomposition. Phys Eng Sci Med (2026). (Springer Publication) (Impact factor: 2.4)
• Lilda, S. Daphin, and R. Jayaparvathy. "Enhancing cardiovascular disease classification in ECG spectrograms by using multi-branch CNN." Computers in biology and medicine 186 (2025): 109737. (Elsevier Publication) (Impact Factor: 7)
• Jayaparvathy, R., S. Daphin Lilda, A. Sheeba Angel, and A. Rajasekaran. "Soil moisture prediction based on integrating the CEEMDAN decomposition technique with LSTM in the proximity of Prosopis Juliflora." Journal of Hydrology 640 (2024): 131777. (Elsevier Publication) (Impact Factor: 7.3)
• Daphin Lilda, S and Jayaparvathy, R. "Effective cardiac disease classification using FS-XGB and GWO approach." Medical Engineering & Physics 132 (2024): 104239. (Elsevier Publication) (Impact Factor: 2.8)
• Daphin Lilda, S., R. Jayaparvathy, and Akshaya Balaji. "An efficient machine learning based ventricular late potential detection and classification technique for cardiac healthcare." Concurrency and Computation: Practice and Experience 34, no. 26 (2022): e7279. (Wiley Publication) (Impact Factor: 2.2)
• Jayaparvathy, R., S. Daphin Lilda, A. Sheeba Angel, and B. N. Priyanka. "Study of the Impact of Prosopis juliflora on Soil Moisture and Humidity." Environment and Ecology 42, no. 1A (2024): 220-228. (Web of Science)

Conference Presentation / Publication

• Daphin Lilda S Jayaparvathy, R., and Pravin Kumar. "Cardiac Rhythm Classification Using HRV and Threshold-Based Intelligence." In 2026 IEEE International Conference on AI Engineering and Innovations (AIEI), pp. 1-6. IEEE, 2026.
• Daphin Lilda S and Jayaparvathy, R. "Complexity comparison of empirical mode decomposition and wavelet decomposition methods in the detection of ventricular late potential." In 2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), pp. 1-5. IEEE, 2022.
• Daphin Lilda S and Jayaparvathy, R. "Prediction of humidity based on CEEMDAN-LSTM approach." In 2025 International Conference on Frontier Technologies and Solutions (ICFTS), pp. 1-7. IEEE, 2025.

Book Chapter publications

• Lilda, S. Daphin, and R. Jayaparvathy. "13 Machine Techniques Learning in ECG Data Analysis for Medical Applications." Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications (2024): 226.

Research Experience

• 2019-2024: Junior Research Fellow: SSN College of Engineering.
• 2024-2026: Senior Project Associate: SSN College of Engineering, funded by Deep Ocean Mission, Ministry of Earth Sciences, Delhi, India.