Skip to main content

Minho Choi

Ulsan National Institute of Science and Technology · Engineering

About the Lab

Professor Minho Choi's research lab specializes in nanophotonics and metasurface engineering, focusing on the design and optimization of flat optical components with tailored wavefront manipulation capabilities. The lab pioneers differentiable optical design methods using machine learning frameworks like TensorFlow, enabling end-to-end optimization of RGB metasurfaces for custom point spread functions. A key research direction involves bridging the sim-to-real gap in meta-optical systems through knowledge distillation, ensuring robust performance across simulation and real-world implementations. The lab also explores fundamental photonic phenomena such as flatbands and angle-insensitive resonances in 2D photonic lattices for enhanced light-matter interactions.

metasurfacesdifferentiable opticssim-to-real gapphotonic flatbandspoint spread function

Research Overview

Papers
6
Total Citations
0
Papers (5y)
6
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
6total
2026
Citations per year (5y)
0total
2026

Selected Papers

6
1
other|0 citations·2026
kernelmino/psf-meta-design-v2.1: TensorFlow-Based PSF Optimization (Carvana dataset)
Minho Choi
Zenodo (CERN European Organization for Nuclear Research)OA

Includes a Colab notebook for designing RGB metasurfaces that generate custom point spread functions using TensorFlow. Implements differentiable phase modeling, band-limited angular spectrum method, and loss minimization across RGB wavelengths.

2
other|0 citations·2026
kernelmino/NTKD2026: Neural tangent knowledge distillation 2026
Minho Choi
Zenodo (CERN European Organization for Nuclear Research)OA

Knowledge distillation for minimizing the sim-to-real gap of the PSF engineered meta-optical encoder

3
other|0 citations·2026
kernelmino/NTKD2026: Neural tangent knowledge distillation 2026
Minho Choi
SJR Q1Open MINDOA

Knowledge distillation for minimizing the sim-to-real gap of the PSF engineered meta-optical encoder

4
Article|0 citations·2026
All-Dielectric Metasurface with a Two-Dimensional Locally Flat Photonic Band
Virat Tara, Christopher Munley, Arnab Manna, Johannes Fröch, Arthur Barnard, Minho Choi, Arka Majumdar
SJR Q1ACS Photonics

Photonic flatbands offer promising light-matter interaction due to their unique slow-light nature. In recent years, flatbands have also attracted significant interest in optical engineering because of their angle-insensitive resonant characteristics. However, to date, no studies have reported the dispersionless behavior of flatbands under arbitrary two-dimensional incident angles and polarizations. Here, we present a two-dimensional photonic flatband created using a silicon metasurface with a Li

Electronic, Optical and Magnetic MaterialsMaterials Science
5
other|0 citations·2026
kernelmino/psf-meta-design-v2.1: TensorFlow-Based PSF Optimization (Carvana dataset)
Minho Choi
Zenodo (CERN European Organization for Nuclear Research)OA

Includes a Colab notebook for designing RGB metasurfaces that generate custom point spread functions using TensorFlow. Implements differentiable phase modeling, band-limited angular spectrum method, and loss minimization across RGB wavelengths.

6
Article|0 citations·2026
Advantages of Broadband Metalenses for Generalizable Image Classification
Yubo Zhang, Johannes Fröch, Jinlin Xiang, Shane Colburn, Myunghoo Lee, Zhihao Zhou, Minho Choi, Eli Shlizerman, Arka Majumdar
SJR Q1ACS Photonics
Biomedical EngineeringEngineering

Research Areas

Biomedical EngineeringElectronic, Optical and Magnetic Materials

Dive deeper into Minho Choi's research on Nubint

Open this lab's papers in the app to read with AI, summarize, and cite in your writing.