Research
Areas of Interests::
- Natural Language Processing
- Large Language Models
- Health Informatics
- 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
- Investigating the Effectiveness of Interpretable Cost-Sensitive Neural Network for Pneumonia Detection Contemplating Data Imbalance [SN Computer Science] [researchsquare]