Jaesung Choi
AI Fellow · KIAS

Jaesung Choi

Center for AI and Natural Sciences, Korea Institute for Advanced Study

My research focuses on developing machine learning methodologies — including reservoir computing and neuromorphic computing — and applying them to real-world problems in biological and meteorological data analysis.

Machine Learning Reservoir Computing Nonlinear Dynamics Signal Processing Neuromorphic Computing
02

Employment

2026 – present

AI Fellow (AI Assistant Professor)

Korea Institute for Advanced Study (KIAS), Center for AI and Natural Sciences

2025 – 2026

AI Junior Fellow

Korea Institute for Advanced Study (KIAS), Center for AI and Natural Sciences
Mentor: Prof. Jaesung Lee

Feb – May 2026

Visiting Scholar

Arizona State University, School of Electrical, Computer and Energy Engineering
Host: Prof. Ying-Cheng Lai (Regents Professor)

2023 – 2025

AI Research Fellow

Korea Institute for Advanced Study (KIAS), Center for AI and Natural Sciences
Mentor: Prof. Jaesung Lee

03

Education

2019 – 2023

Ph.D. in Mathematical Sciences

Ulsan National Institute of Science and Technology (UNIST)
Advisor: Prof. Pilwon Kim
Dissertation: Oscillator-based reservoir computing and its applications

2017 – 2019

M.S. in Mathematical Sciences

Ulsan National Institute of Science and Technology (UNIST)

2013 – 2017

B.S. in Mathematical Sciences & Physics

Inha University (Double Major)

04

Publications (†equal contribution · *corresponding author)

In Preparation
ForeSURE: Forecast-Calibrated SURE for Self-Supervised Broadband Time-Series Denoising
J. Choi
Manuscript in preparation
Thermodynamically Admissible Next-Generation Reservoir Computing
J. Choi
Manuscript in preparation
Submitted
Predicting the Onset of Global Chaos Beyond the Training Range with Topology-Aware Symplectic Learning
J. Choi
Under review
Extrapolating the Emergence of Hamiltonian Chaos with Random-Feature Hamiltonian Neural Networks
J. Choi
Under review arxiv
Learning a Quantitative Criterion for Distinguishing Chaos from Noise
J. Choi, A.L. Chanu, J. Park
Under review
Reconstructing Hidden Variables in Chaotic and Real-World Systems with a Single-Memristor Based Physical Reservoir Computing
J. Park†, J. Choi†, H. Kim, H. Park, J. Kim, J. Choi, S. Kim, M. Lee, K. Heo
Under review
A Triboelectric Nanogenerator-Driven Physical Reservoir Computing for Intelligent Cardiac Anomaly Detection
J. Park, H. Kim, J. Choi, J. Choi*, M. Lee*
Under review
2026
Stochastic Intracellular Calcium Dynamics Show Preserved Structures Identified by Deep Learning Classification
J. Choi†*, A.L. Chanu†, S. Awasthi†*
PLOS Computational Biology, 22(4), e1014240 journal
Human Brain State Classification via Permutation Entropy of EEG Phase Dynamics across Consciousness Levels and Inattentive-Type ADHD
A.L. Chanu, Y. Park, J. Choi, Y. Cha, U.C. Lee, J.Y. Moon, J.M. Park
Chaos, Solitons & Fractals, 209, 118416 arxiv
2025
Homotopy Reservoir Computing: Harnessing Chaos for Computation
J. Choi, P. Kim
Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(9), 093112 journal
Signal–Noise Separation Using Unsupervised Reservoir Computing
J. Choi, P. Kim
Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(8), 083136 journalarxiv
Unsupervised Reservoir Computing for Multivariate Denoising of Severely Contaminated Signals
J. Choi, P. Kim
Knowledge-Based Systems, 114574 journalarxiv
Pd-Modified Microneedle Array Sensor Integration with Deep Learning for Predicting Silica Aerogel Properties in Real Time
H.S. Park, I.W. Park, D. Kim, H.Y. Nah, J. Yang, J. Yeo, J. Choi, J. Choi, H.H. Park, H.J. Choi
ACS Applied Materials & Interfaces, 17(10), 15570–15578 journal
2023
Reservoir Concatenation and the Spectrum Distribution of Concatenated Reservoir State Matrices
J. Choi, E. Park, B. Jang, Y. Kim
AIP Advances, 13(11), 115110 journal
2022
Early Warning for Critical Transitions Using Machine-Based Predictability
J. Choi, P. Kim
AIMS Mathematics, 7(11), 20313–20327 journal
2020
Reservoir Computing Based on Quenched Chaos
J. Choi, P. Kim
Chaos, Solitons & Fractals, 140, 110131 journalarxiv
2019
Critical Neuromorphic Computing Based on Explosive Synchronization
J. Choi, P. Kim
Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(4), 043110 journal
05

Curriculum Vitae

Download PDF
06

Contact

Office
KIAS, Bldg 8, Room 214
85 Hoegi-ro, Dongdaemun-gu, Seoul 02455
Google Scholar