Kavya Menon
PhD Candidate, Department of Computational and Data Sciences
kavya@email.com · +91 98765 43210 · Bengaluru, India · scholar.google.com · kavyamenon.github.io
Research Interests
Machine learning for healthcare: robust medical-image segmentation, learning with limited labels, and fairness across patient groups.
Education
PhD, Computational and Data Sciences, Indian Institute of Science, Bengaluru
2021 – Present
Thesis: Label-efficient learning for medical image analysis
M.Tech, Computer Science, Indian Institute of Technology Delhi
2019 – 2021
CGPA 9.1 / 10
B.Tech, Electronics and Communication, National Institute of Technology Calicut
2015 – 2019
CGPA 8.8 / 10
Publications
- K. Menon, R. Narayan. “Few labels, fair masks: semi-supervised segmentation across patient groups.” MICCAI, 2024.
- K. Menon, A. Rao, R. Narayan. “Uncertainty-aware pseudo-labels for retinal OCT.” Medical Image Analysis, 2023.
- K. Menon, R. Narayan. “Contrastive pre-training for low-resource radiology.” NeurIPS Workshop on Medical Imaging, 2022.
Conference Talks
- Oral presentation, MICCAI 2024.
- Invited talk, national AI research symposium, 2023.
Awards & Fellowships
- Prime Minister’s Research Fellowship (PMRF), 2021–2026.
- Best Poster Award, departmental research symposium, 2023.
Research & Teaching Experience
Graduate Research Assistant, Indian Institute of Science, Bengaluru
2021 – Present
- Developed a semi-supervised segmentation method that matches fully supervised accuracy with 10% of the labels.
- Collaborating with 2 hospitals on a 40,000-scan retinal imaging dataset.
Teaching Assistant, Machine Learning, Indian Institute of Science, Bengaluru
2022 – 2023
- Ran weekly tutorials for 120 students and designed 4 programming assignments.
Skills
PyTorch, Python, JAX, Medical imaging, Statistics, LaTeX