Introduction

Hello and welcome!

I’m Bishal Swain (비샬), a third-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 Social Events Officer 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.

I'm graduating in February 2026 and am actively seeking job opportunities (postdoc/industry research roles).

Education

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

MSc in Computer Science
2018–2020
Pondicherry University, India


Recent News

  • Mar 2025: Submitted a new paper to MICCAI 2025.
  • Jan 2025: Appointed as Social Events Officer for MICCAI Student Board 2025.
  • Dec 2024: Published one journal paper.
  • Oct 2024: Presented paper at MICCAI 2024 in Marrakech.
  • Jul 2024: Published paper at MIDL 2024 in Paris.

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 Publications

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]
SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology
B. Swain, K.J. Cheoi, J. Ko.
MICCAI 2024
[PDF] [Link] [Project Page]
Nuclei Segmentation in Histopathology Images with Enhanced U-Net3+
B. Swain, K.J. Cheoi, J. Ko.
MIDL 2024
[PDF] [Link] [Project Page]