Prof. Wonshik Choi serves as the director of the AI Physics Center as of September 2024. His research focuses on developing deep-tissue imaging techniques that enable the visualization of structures embedded deep within scattering media, such as skin tissue and the skull. As waves propagate through scattering media, they undergo multiple scattering events, causing the loss of object information and limiting imaging depth. His work aims to overcome this limitation by solving inverse scattering problems using multiply scattered waves reflected from the sample, reconstructing images by leveraging these scattered waves as valuable signals. Building on various physics-based wave propagation models, his recent research incorporates machine learning and deep learning techniques to further extend imaging depth.

Homepage: https://www.bioimaging.korea.ac.kr

Prof. Q-Han Park, the founding director of the AI Physics Center, has pioneered integrating machine learning into physics education, offering the undergraduate course “AI for Physicists” annually since 2019 and introducing “Advanced AI Physics” for graduate students in 2023. Prof. Park’s research explores light-matter interactions at the nanoscale,

with a focus on metasurfaces, chiral sensing, and non-local polaritons in 2D semiconductors. Additionally, he combines physics with AI, working on applications in combinatorial optimization and reservoir computing.

Homepage: https://nol.korea.ac.kr

Prof. Su-Hyun Gong is an experimental physicist specializing in nanophotonics, with a research focus on exciton polaritons in bare 2D semiconductor multilayers. Her work explores the potential of ultra-thin 2D semiconductors in photonic integrated circuits, aiming to push the boundaries of nanophotonic applications. With a vision to enable photonic-based AI processors, Prof. Gong's research combines fundamental studies and innovative applications to advance the next generation of photonic technologies. 

Homepage: https://www.gonglab.korea.ac.kr

Prof. Minhyuk Kim is an experimentalist studying quantum science based on atomic and optical physics. His research focuses on quantum systems based on trapped neutral atoms in optical tweezers, and Rydberg atoms interacting with each other. He is also interested in leveraging machine learning techniques for enhanced performance of quantum computations and quantum simulations with Rydberg atoms. 

Homepage: https://aqil.korea.ac.kr

Prof. Yosep Kim is an experimental physicist specializing in superconducting qubits. His research focuses on quantum computing, with particular interest in the advantages of quantum machine learning derived from the exponentially larger parameter space of qubits and quantum contextuality. He aims to understand the roles of entanglement and classical correlation in machine learning. Additionally, he is interested in leveraging machine learning techniques to optimize quantum control and measurement.

Homepage: https://scqi.korea.ac.kr