I am Ananta Raha, a CSE graduate with research interests in Computer Vision, Medical Imaging, and Explainable AI. Currently, my focus is on developing trustworthy AI methods that emphasize interpretability, efficiency, and privacy.

Following my undergraduate thesis on computationally efficient, RCNN-based brain tumor segmentation (MRI), I have studied lightweight vision architectures for clinical diagnosis. During my graduate studies, I worked on several independent and team projects in diverse areas, such as neural network privacy, computational biology, and human-computer interaction. These experiences have reinforced my research perspective and implementation skills.

I am actively seeking Ph.D. opportunities that will allow me to extend my foundation in lightweight vision toward impactful research in trustworthy healthcare.