Biography

Dr. Amrita Singh earned her Ph.D. in Mathematics with a specialization in Machine Learning from Shiv Nadar Institution of Eminence, Delhi-NCR, under the mentorship of Dr. Ajit Kumar and Dr. Snehasis Mukherjee. Her doctoral research focused on scale-invariant object detection in biomedical images, where she developed deep learning models for virus patch detection in foci images. By integrating scale-awareness, switchable atrous convolution, and global context modeling, her work addressed critical challenges in medical image analysis. Dr. Amrita Singh earned her Ph.D. in Mathematics with a specialization in Machine Learning from Shiv Nadar Institution of Eminence, Delhi-NCR, under the mentorship of Dr. Ajit Kumar and . Snehasis Mukherjee. Her doctoral research focused on scale-invariant object detection in biomedical images, where she developed deep learning models for virus patch detection in foci images. By integrating scale-awareness, switchable atrous convolution, and global context modeling, her work addressed critical challenges in medical image analysis.

Alongside her doctoral research, Dr. Singh explored 3D scene understanding, particularly scale-aware object detection in large-scale 3D point clouds using self-supervised and weakly supervised learning. She is also interested in hybrid frameworks that combine attention mechanisms,  eature pyramids, and representation learning to advance computer vision applications in healthcare and spatial data analysis. From 2019 to 2024, Dr. Singh served as a Teaching Assistant in the Department of Mathematics at Shiv Nadar Institution of Eminence. In this role, she supported undergraduate instruction by conducting tutorials, assisting in lectures, evaluating assignments, and engaging students in collaborative learning. This experience strengthened her skills in mentorship, academic communication, and problem-solving

She has presented her research at national and international conferences and is committed to publishing impactful work that bridges mathematical theory with real-world applications. Looking ahead, Dr. Singh aspires to build a career in academia and research, contributing to the advancement of computer vision, deep learning, and applied mathematics.