Introduction

Namaskara /nɔ.mɔs.kaː.rɔ/

I’m Bishal Swain (ବିଶାଳ, 비샬), /bi.ʃaːl/, a fourth-year Ph.D. student at Kumoh National Institute of Technology, working under the supervision of Prof. Jaepil Ko in the Computer Vision & Pattern Recognition Lab (Lab Website).

I currently serve as VP Social and Sports for the MICCAI Student Board.

My research focuses on computer vision, particularly on out-of-distribution generalization, segmentation, and domain adaptation problems. Currently, I work on medical histopathology and material SEM (Scanning Electron Microscope) images.

Education

Ph.D. in Computer Science
2022–present
Kumoh National Institute of Technology, South Korea

MSc in Computer Science
2018–2020
Pondicherry University, India


Research Experience

  • Research Intern, National Atmosperic Research Lab — 2019.11-2020.05
  • Research Associate, Dream Lab, Indian Institute of Science — 2020.06–2021-07

Recent News

  • Feb 2026: Paper selected for publication at CVPR 2026.
  • Jan 2026: Appointed as VP Social & Sports for MICCAI Student Board 2026.
  • Nov 2025: Paper selected for publication at WACV 2026.
  • Oct 2025: Recieved TOPIK Level 5 Proficiency.
  • Jun 2025: Paper selected for publication at MICCAI 2025.


Recent Publications

Guided Texture Segmentation via Coordinate-Aware Class-Ratio Mapping
B. Swain, K.J. Cheoi, J. Ko.
WACV 2026
[PDF] [Link] [Project Page]
Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer
B. Swain, K.J. Cheoi, J. Ko.
MICCAI 2025
[PDF] [Link] [Project Page]
Enhancing Nuclei Segmentation in Histology Images by Effectively Merging Task-Specific and Foundation Models
B. Swain, K.J. Cheoi, J. Ko.
JMIS 11(4):219-228
[PDF] [Link]