Machine Learning, Deep Learning, Bioinformatics, Blockchain, Software Engineering and Image Processing.

Journal Publications:

1. Sweeti Sah, B. Surendiran, R. Dhanalakshmi, and Sachi Nandan Mohanty. “Mutation prediction and phylogenetic analysis of SARS-CoV2 protein sequences using LSTM based encoder-decoder model.” Arab Journal of Basic and Applied Sciences 30, no. 1 (2023): 103-121.
2. Sweeti Sah, Balasubramanian Surendiran, Ramasamy Dhanalakshmi, and Mohammed Yamin. “Covid‐19 cases prediction using SARIMAX Model by tuning hyperparameter through grid search cross‐validation approach.” Expert Systems 40, no. 5 (2023): e13086.
3. Sweeti Sah, B. Surendiran, Ramasamy Dhanalakshmi, Sachi Nandan Mohanty, Fayadh Alenezi, and Kemal Polat. “Forecasting COVID‐19 Pandemic Using Prophet, ARIMA, and Hybrid Stacked LSTM‐GRU Models in India.” Computational and Mathematical Methods in Medicine 2022, no. 1 (2022): 1556025.
4. Sandeep Kumar Satapathy, Sung-Bae Cho, Shruti Mishra, Sweeti Sah, and Sachi Nandan Mohanty. “A federated learning approach for classifying chest diseases from chest X-ray images.” Biomedical Signal Processing and Control 100 (2025): 107107.
5. Rasmita Lenka, Sweeti Sah, Shweta Sharma, and Sachi Nandan Mohanty. “TinyCov-NET: Efficient and robust COVID-19 pneumonia diagnosis using a stacked shallow convolutional neural network.” Health and Technology (2024): 1-13.
6. Shruti Mishra, Sandeep Kumar Satapathy, Sung-Bae Cho, Sachi Nandan Mohanty, Sweeti Sah, and Shweta Sharma. “Advancing COVID-19 poverty estimation with satellite imagery-based deep learning techniques: a systematic review.” Spatial Information Research 32, no. 5 (2024): 583-592.
7. Rohit Kumar Gupta, Sweeti Sah, B. Surendiran, Shankar Narayan, and P. Arunkumar. “A Survey on Deep Learning Approaches Used in Genomics.” International Research Journal on Advanced Science Hub 5, no. 11 (2023): 397-408.

Book Chapters

1. Sweeti Sah, B. Surendiran, R. Dhanalakshmi, and N. Arulmurugaselvi. “A survey on hyperledger frameworks, tools, and applications.” In Internet of Things, Artificial Intelligence and Blockchain Technology, pp. 25-43. Cham: Springer International Publishing, 2021.
2. Sweeti Sah, Sujithra Kanmani, Akash Kamerkar, B. Surendiran, and R. Dhanalakshmi. “COVID-19 epidemic analysis using linear and polynomial regression approach.” Applications of Artificial Intelligence in COVID-19 (2021): 245-255.
3. Sweeti Sah, B. Surendiran, and R. Dhanalakshmi. “Genomic sequence similarity of SARS-CoV2 nucleotide sequences using biopython: Key for finding cure and vaccines.” In Application of deep learning methods in healthcare and medical science, pp. 211-223. Apple Academic Press, 2022.

Conferences

1. Sweeti Sah, Akash Kamerkar, B. Surendiran, and R. Dhanalakshmi. “Predicting the trends of COVID-19 cases using LSTM, GRU and RNN in India.” In Intelligent Data Engineering and Analytics: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021), pp. 459-470. Singapore: Springer Nature Singapore, 2022.

B.Tech Major Project Supervised: 04 (Completed), 03(ongoing)

M.Tech Thesis Supervised: 04(ongoing)

No. of Ph.D: Looking for PhD candidate.