• A tutorial entitled “Software Testing and Quality Assurance for Data Intensive Applications” is accepted at the 25th International Conference on Evaluation and Assessment in Software Engineering (EASE) 2022.
  • A tutorial proposal entitled “Unrevealing Data Correlations with Self-Supervised Learning” is accepted at the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2022.
  • Delivered a tutorial on “Software Testing and Quality Assurance for Data Intensive Applications” at the 15th Innovations in Software Engineering Conference (ISEC) 2022.
  • Our paper entitled “CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images.” is accepted for publication in Journal of Neural Processing Letters, Springer 2022.
  • Our paper entitled “Modality specific U-Net variants for biomedical image segmentation: A survey.” is accepted for publication in Journal of Artificial Intelligence Reviews, Springer 2022.
  • A tutorial entitled “A Tutorial on Biomedical Image Segmentation using Deep Learning” is accepted at the 27th International Conference on Database Systems for Advanced Applications (DASFAA) 2022.
  • Our paper entitled “RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging” is accepted for publication in Journal of Machine Vision and Applications, Springer 2022.
  • Our paper entitled “Impact of Attention on Adversarial Robustness of Image Classification Models” is accepted at IEEE BigData 2021.
  • A tutorial entitled “A tutorial on AI techniques to combat COVID-19” is accepted at the 28th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONIP) 2021.
  • Our paper entitled “Recommending best course of treatment based on similarities of prognostic markers” is accepted at 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021.