Visvesvaraya PhD Fellowship
Nationally competitive fellowship from MeitY, Government of India, awarded to outstanding PhD researchers in Electronics and IT.
PhD Scholar
Shivangi Rai
PhD in Data Science and Engineering
Indian Institute of Science Education and Research, Bhopal
Supervisor: Dr. Vinod K. Kurmi
I work on domain adaptation, domain generalization, and reliable deep learning systems for distribution shift, with applications in medical image analysis and visual perception.
shivangir23@iiserb.ac.in IISER Bhopal, Data Science and EngineeringAbout
Research at the intersection of adaptation, robustness, and reliable AI.
My research studies how deep learning models behave when deployed beyond their training distribution. I focus on adaptive systems that generalize to unseen environments without requiring source data access, making them more practical for privacy-sensitive and resource-constrained settings.
I am particularly interested in black-box adaptation and deployment-aware learning for safety-critical applications including diabetic retinopathy grading, clinical diagnostics, and autonomous perception.
Recent publication
Label Calibration in Source Free Domain Adaptation
Accepted at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025.
Recognition and Service
Fellowships, reviewing, and academic recognition.
UGC NET-JRF
Qualified for Junior Research Fellowship through the National Eligibility Test conducted by the University Grants Commission of India.
Peer Reviewer, IJCNN
Reviewed submissions in domain adaptation and representation learning for the International Joint Conference on Neural Networks.