News & Updates
This page shares research updates, project milestones, and academic progress.
Recent Updates
New preprint on weakly supervised pneumonia localization
I completed a research manuscript on weakly supervised pneumonia localization from chest X-rays using deep neural networks and Grad-CAM explanations.
Ongoing work on uncertainty-aware lung segmentation
I am currently developing an uncertainty-focused evaluation pipeline for lung segmentation using nnU-Net v2 ensemble models.
Expanding research into temporal vision
I am exploring future work in temporal video matting, with an emphasis on explainable confidence maps and robust edge-aware modeling.
Academic profile development
I am actively growing my publication roadmap, open-source portfolio, and long-term research direction in applied AI.
Suggested Future Update Ideas
- Paper submitted to journal/conference
- Preprint released
- New GitHub repository published
- Conference attendance
- Collaboration announcement
- New dataset or experiment milestone
- Blog article published