Scholar
Kunal Jangid
Google Scholar ID: j9grYn0AAAAJ
Indian Institute of Science Education and Research Bhopal
Citations & Impact
Citations
10
H-index
1
i10-index
0
Publications
2
Co-authors
5
list available
Contact
Publications
Resume (English only)
Research Experience
- Contributed to real-world DICOM preprocessing and tumor & multi-organ segmentation, recommendation systems using sentiment and adversarial learning, and neural style transfer projects. Technical expertise spans PyTorch, Python, Deep Learning, Transformers, Frequency & Wavelet transforms, and medical imaging standards.
Education
- PhD: Indian Institute of Science Education and Research (IISER) Bhopal, Data Science & Engineering department.
Background
- PhD Research Scholar at Indian Institute of Science Education and Research (IISER) Bhopal, Data Science & Engineering department. My research focuses on medical image segmentation—especially tumor and organ-at-risk (OAR) delineation. I had work on these tasks using techniques like frequency-based filtering, fuzzy logic, transformer, and uncertainty modeling. I'm also exploring domain adaptation, encrypted learning, and multi-modal classification tasks in both vision domain.
