Dr Shaik John Saida

Focusing on low resource machine translation, multilingual representation learning, transfer learning, dialogue, decision-making, question answering, summarization, ontologies, information retrieval, text decipherment.
Focusing on fundamental research, including AI robustness, adversarial machine learning, anti-spoofing, domain adaptation and federated learning, and applied research in application areas such as biomedical sciences, biometric authentication, computational social science and cybersecurity.

S. J. Saida and S. Ari, "DUNet: Dual U-Net Architecture for Ocean Eddies Detection and Tracking," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 2, pp. 1983-1993, (2024)
Shaik John Saida, Suraj Prakash Sahoo, Samit Ari, Deep convolution neural network based semantic segmentation for ocean eddy detection, Expert Systems with
Applications, Volume 219, (2023),
S. J. Saida and S. Ari, "Attention Aware U-Net Architecture for Semantic Segmentation and Detection of Ocean Eddies," 2023 3rd International Conference on Range Technology (ICORT), Chandipur, Balasore, India, (2023)
S. John Saida and S. Ari, "MU-Net: Modified U-Net Architecture for Automatic Ocean Eddy Detection," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, (2022)
S. J. Saida and S. Ari, "Dilated Convolution based U-Net Architecture for Ocean Eddy Detection," 2022 IEEE Silchar Subsection Conference (SILCON), Silchar, India, (2022)
S. J. Saida and S. Ari, "Automatic Detection of Ocean Eddy based on Deep Learning Technique with Attention Mechanism," 2022 National Conference on Communications(NCC), Mumbai, India, pp. 302-307, (2022)

E-mail id: johnsaida.s@srmap.edu.in