Inchul Kim
I am a PhD student of the Visual Computing Lab at the Korea Advanced Institute of Science and Technology (KAIST), South Korea, under the supervision of Prof. Min H. Kim.
My research brings together computational imaging, image reconstruction, and learning-based inverse problems. I am interested in building imaging methods that are not only accurate, but also robust and practical under real acquisition constraints.
More specifically, I am currently working on hyperspectral imaging systems, with a focus on extending both the spatial and spectral resolution of hyperspectral data. I am motivated by imaging problems where physical modeling and learning can be combined to recover richer and more reliable visual information.
You can find my full CV here.
Current Research Interests
- Hyperspectral imaging systems: extending spatial and spectral resolution for richer scene capture.
- Computational imaging: designing imaging pipelines that connect hardware, calibration, and reconstruction.
- Learning-based inverse problems: developing methods that recover high-quality signals from limited or imperfect measurements.
Recent Collaborative Research
In addition to my primary research direction, I have also contributed to collaborative projects on CT-related imaging problems.
- Cone-beam CT reconstruction: studying reconstruction under sparse views and challenging acquisition settings.
- Metal artifact reduction: developing methods to reduce severe CT artifacts while preserving meaningful structures.
Loading bio