I am Ananta Raha, an incoming Ph.D. student in Computer Science and Engineering at the University of South Florida. My research interests include Computer Vision, Medical Imaging, and Explainable AI, with a current focus on developing trustworthy AI methods that emphasize interpretability, efficiency, and privacy.

Following my undergraduate thesis on computationally efficient, RCNN-based brain tumor MRI segmentation, I have studied lightweight vision architectures for medical image analysis. During my graduate studies, I worked on several independent and collaborative projects in diverse areas, such as neural network privacy, computational biology, and human-computer interaction. These experiences have reinforced my research perspective and practical skills in trustworthy AI.