Blogs and Publications
Latest Blogs
Explainable AI (XAI) in Healthcare: Trust, Transparency, and the Limits of AI Decisions
January 2026A comprehensive guide to implementing XAI techniques for medical imaging and clinical decision support.
BlogRecursive Language Models - Maybe a Newer Era of Prompt Engineering?
February 2026Recursive language models are one of the simplest and most useful methods for extracting high-quality outputs from large language models. They treat the prompt as a part of an external environment that the model can interact with programmatically.
BlogPublications & Papers
FastVLM: Efficient Vision Language Models for Medical Imaging
Present
Reserach on XAI and FastVLM.
An Advanced Brain Tumour Detection Framework Using Improved Fast Mask R-CNN Techniques for Enhanced Accuracy
IEEE · 2024
To enhance the precision of diagnosis, this research provides a new structure for identifying brain tumors that integrates an Improved Fast Mask Region based Convolutional Neural Network (IFMRCNN) with complex image processing algorithms.
Read publication →Research Interests
Explainable AI (XAI): Making deep learning models interpretable and trustworthy for critical applications
Medical Imaging: Applying computer vision and deep learning to healthcare and clinical decision support
Generative Models: Understanding and improving GANs, Diffusion Models, and Transformer architectures
Multimodal Learning: Combining vision and language for richer representations and understanding
High-Performance Computing: Optimizing deep learning systems for large-scale data processing
Research collaborations
SHIELD Lab — University of South Florida
Explainable AI for Healthcare
Bellini College of AI, Cybersecurity & Computing
Deep Learning Research