Research

Areas of Interests::

• Natural Language Processing
• Large Language Models
• Explainable Artificial Intelligence
• Computer Vision, Generative Adversarial Network
• Semi-Supervised Learning
• Image Processing
• Machine Learning Application

Ongoing Works

• Detection of Online Grooming/Predatory chats.
• Brain Tumor Detection with Cost-Sensitive Neural Network.
• Report Generation from Medical Images.
• Segmentation of Retinal Blood Vessels using Cutting Edge Segmentation Model.
• Medical Image Classification using Federated Learning and Generative Adversarial Networks/Semi-Supervised Learning.

Under Review

• Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance [Multimedia Tools and Applications] [arxiv]
• Investigating the Effectiveness of Interpretable Cost-Sensitive Neural Network for Pneumonia Detection Contemplating Data Imbalance [SN Computer Science] [researchsquare]