Byunghyun (Ben) Ko
Department of Computer Science and Engineering, University of Notre Dame
I am a Computer Science and Engineering Ph.D. student at the University of Notre Dame, where I am advised by Professor Chaoli Wang.
My research spans computer vision, machine learning, and healthcare. I develop scalable, data-efficient models for biomedical image analysis that are robust to distribution shifts and heterogeneous data. My work addresses challenges such as data scarcity, noisy annotations, and variability in imaging protocols and acquisition conditions.
Prior to my Ph.D. studies, I earned an M.S. in Computer Science from Northeastern University, where I was advised by Professor Jeongkyu Lee, and a B.A. in Economics and Applied and Computational Mathematics and Statistics (ACMS) from the University of Notre Dame.
news
| May 2026 | Our paper, XSSR: Cross-Domain Self-Supervised Representative Selection for Efficient Annotation in Medical Image Segmentation, was accepted to AIiH 2026. |
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| Nov 2025 | I was awarded the SPARK Research Apprenticeship (Spring 2026), a $4,000 research award from Northeastern University. |
| Oct 2025 | Our paper, KLO-Net: A Dynamic K-NN Attention U-Net with CSP Encoder for Efficient Prostate Gland Segmentation from MRI, was accepted to SPIE Medical Imaging: Image Processing 2026. |
| Jun 2025 | I was awarded the Khoury Research Apprenticeship (Fall 2025), a $7,500 research award from Northeastern University. |
| May 2025 | Our paper, XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation, was accepted to ACDSA 2025. |
