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Iksung KANG
Assistant Professor @ School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)
I will be starting my lab in KAIST EE in January 2026. Please check the details here if you are interested in joining our group.
I focus on developing intelligent imaging systems that seamlessly integrate physical principles, computation, and system-level design, to make advanced imaging technologies more accessible, scalable, and reliable.
Previously, I worked as a postdoctoral fellow at UC Berkeley, advised by Professor Na Ji and Stella X. Yu, and a PhD from MIT EECS. At MIT, I was advised by Professor George Barbastathis and was a recipient of Korea Foundation for Advanced Studies scholarship throughout my doctoral study.
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News
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Oct. 20, 2025
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We present NeAT for adaptive optical correction in in vivo two-photon microscopy using neural fields, now available in bioRxiv.
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Oct. 11, 2025
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Our study for parallel aberration measurement in a large field-of-view is now available in bioRxiv.
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Jun. 24, 2025
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We present CoCoA for aberration and structural estimation in in vivo widefield fluorescence microscopy using coordinate-based neural representations, published in Nature Machine Intelligence!
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Representative Publications
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Optical segmentation-based compressed readout of neuronal voltage dynamics
Kim S, Yoon J, Ko G, Kang I, Tian H, Fan LZ, Li Y, Cohen AE, Wu J, Dai Q, Choi MM
Nature Communications (2025) 16(7194) https://www.nature.com/articles/s41467-025-62663-4
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Coordinate-based neural representations for computational adaptive optics in widefield microscopy
Kang I*, Zhang Q*, Yu SX, Ji N
Nature Machine Intelligence (2024) 6, 714-725. https://doi.org/10.1038/s42256-024-00853-3
*Contributed equally and co-correspondence authors.
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Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits
Kang I, Jiang Y, Holler M, Guizar-Sicairos M, Levi AFJ, Klug J, Vogt S, Barbastathis G
Optica (2023) 10(8), 1000-1008. https://doi.org/10.1364/OPTICA.492666
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Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time
Kang I*, Wu Z*, Jiang Y, Yao Y, Deng J, Klug J, Vogt S, Barbastathis G
Light: Science & Applications (2023) 12(131). https://www.nature.com/articles/s41377-023-01181-8
News: EurekAlert!
*Contributed equally.
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Simultaneous spectral recovery and CMOS micro-LED holography with an untrained deep neural network
Kang I*, de Cea M*, Xue J, Li Z, Barbastathis G, Ram R
Optica (2022) 9(10), 1149-1155. https://doi.org/10.1364/OPTICA.470712
*Contributed equally.
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Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views
Kang I*, Goy A, Barbastathis G
Light: Science & Applications (2021) 10(74). https://doi.org/10.1038/s41377-021-00512-x
News: EurekAlert!
*Correspondence author.
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This website was updated on January 26th, 2026
My website was built using this template.
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