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Ph.D. in Mathematics with a specialization in Machine Learning from Shiv Nadar Institution of Eminence, Delhi-NCR

Master of Science (M.Sc.), M.M.H College, Ghaziabad

Bachelor of Science (B.Sc.), M.B Degree College , Dadri

Prof. (Dr.) Amrita Singh

Assistant Professor

Email amrita.singh@jgu.edu.in
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ORCID ID 0009-0009-0040-9117
Key Expertise Computer Vision, Deep Learning, Scale-Invariant Object Detection, Biomedical Image Analysis, 3D Scene Understanding, Point Cloud Analysis, Self-Supervised Learning, Weakly Supervised Learning, Attention Mechanisms, Feature Pyramid Networks, Applied Mathematics

Ph.D. in Mathematics with a specialization in Machine Learning from Shiv Nadar Institution of Eminence, Delhi-NCR

Master of Science (M.Sc.), M.M.H College, Ghaziabad

Bachelor of Science (B.Sc.), M.B Degree College , Dadri

Biography

Dr. Amrita Singh completed her Ph.D. in Mathematics from Shiv Nadar Institution of Eminence, Delhi-NCR, specializing in machine learning for biomedical image analysis. Her research created deep learning models that can detect virus patches regardless of size and looked into understanding 3D scenes in large sets of data points using self- and weakly supervised learning. She has presented her work at national and international conferences, served as a teaching assistant (2019–2024), and continues to pursue impactful research at the intersection of computer vision, deep learning, and applied mathematics.

University Research Fellowship, Shiv Nadar Institution of Eminence(2018-2022)

Teaching Assistantship, Department of Mathematics, Shiv Nadar Institution of Eminence, 2019–2024

Travel Grant for Conference Participation, Shiv Nadar Institution of Eminence / ICAMM 2023, IIT Indore

Travel Grant for Conference Participation, Shiv Nadar Institution of Eminence / ICMLSC, Tokyo 2025

Peer Reviewer: 10th International Conference on Computer Vision and Image Processing (CVIP), 2025

Singh, A., Mukherjee, S. (2025). Scale-invariant object detection by switchable atrous convolution with global context. Evolving Systems(Accepted).

Singh, A., Mukherjee, S. (2025). Detection of virus and small cell patches in foci images using switchable convolution and feature pyramid network. (Submitted).

Singh, A., Kumar, A. (2025). Object detection by adaptive convolution. ICMLSC, Tokyo.

Singh, A., Kumar, A., Veerapu, N.S., Mukherjee, S. (2024). Automatic detection of virus infection patterns using switchable convolutions. IEEE Access.

Singh, A. (2023). Scale-invariant object detection using SAC. ICAMM, IIT Indore.

Singh, A., Kumar, A. (2023). SAC-based object detection. ICVGIP, IIT Ropar.

Singh, A., Kumar, A (2020). Virus patch detection by YOLOv2. SCOTA, BIT Ranchi.
Email amrita.singh@jgu.edu.in
ORCID ID 0009-0009-0040-9117
Key Expertise Computer Vision, Deep Learning, Scale-Invariant Object Detection, Biomedical Image Analysis, 3D Scene Understanding, Point Cloud Analysis, Self-Supervised Learning, Weakly Supervised Learning, Attention Mechanisms, Feature Pyramid Networks, Applied Mathematics
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