Creating ML models that simultaneously performs segmentation and disease detection tasksusing spatial and channel attention mechanisms, improving performance while reducing computationalcomplexity.

Lecturer and Speaker: Seventh (2022), Eighth (2023), Ninth (2024) “Summer School on ComputerVision, Graphics and Image Processing”, an initiative by ISI, Kolkata. Lecturer in the“Winter School on Deep Learning” (WSDL 2022, 2023, and 2024) at ISI, Kolkata.

Enhance medical image segmentation by integrating trainable multi-scale morphological operations into UNet, improving accuracy and adaptability to irregular shapes and sizes of ROIs, while maintaining efficiency across diverse medical datasets.