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About me
About me
I am a fourth-year PhD student in the department of Industrial Engineering & Operations Research (IEOR) at University of California, Berkeley. I am very fortunate to be advised by Professor Javad Lavaei.
Previously, I received my Bachelor of Science degree in both Industrial Engineering and Statistics at Seoul National University (SNU).
I am highly interested in theoretical understanding of dynamic systems and learning-based controls under unforeseen attack. I am also intrigued by convex and non-convex optimization and those implemented in online learning and control.
Here is a link to my CV.
Publications
Publications
Preprints
Preprints
Jihun Kim,
preprint, 2025.
"On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks"
Jihun Kim, Yuchen Fang, and Javad Lavaei,
preprint, 2025.
Journal Papers
Journal Papers
"Online Bandit Nonlinear Control with Dynamic Batch Length and Adaptive Learning Rate"
Jihun Kim and Javad Lavaei,
Transactions on Machine Learning Research (TMLR), 2025.
[arXiv] [Published] [Talk Video]
"The landscape of deterministic and stochastic optimal control problems:
One-shot optimization versus Dynamic Programming"
Jihun Kim, Yuhao Ding, Yingjie Bi, and Javad Lavaei,
IEEE Transactions on Automatic Control, 2024.
Conference Papers
Conference Papers
"System Identification from Partial Observations under Adversarial Attacks"
Jihun Kim and Javad Lavaei,
to appear in Conference on Decision and Control (CDC), 2025.
"Prevailing against Adversarial Noncentral Disturbances:
Exact Recovery of Linear Systems with the l_1-norm Estimator"
Jihun Kim and Javad Lavaei,
American Control Conference (ACC), 2025,
has been selected as a Best Student Paper Award Finalist (ONLY 6 papers / around 700 accepted papers).
“6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network”
Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, and Sang-Ki Ko,
Machine Learning and Data Mining for Sports Analytics (MLSA), 2021.
TEACHING EXPERIENCEs
TEACHING EXPERIENCEs
IEOR 160: Nonlinear and Discrete Optimization TA (Spring 2024, Spring 2025)
UGBA 104: Introduction to Business Analytics TA (Summer 2025)
IEOR 262A: Mathematical Programming I TA (Fall 2025)
@ University of California, Berkeley
Operations Research 1 Tutor (Fall 2021)
Statistics for Industrial Engineering Tutor (Spring 2021)
Human Factors Engineering Tutor (Fall 2020)
Calculus 1 (English Medium Instruction) Tutor, College English Tutor (Spring 2020)
@ Seoul National University
ACADEMIC SerVICES
ACADEMIC SerVICES
Reviewer for:
Mathematical Programming, 2025.
Conference on Decision and Control (CDC), 2025.
American Control Conference (ACC), 2025.
International Conference on Learning Representations (ICLR), 2025.
Competences
Competences
Programming: Python, MySQL, R, MATLAB, Xpress Mosel
Skills: CVX, Gurobi, SOSTOOLS (optimization), Tensorflow, PyTorch, Scikit-learn (ML/DL)
Languages: Korean (Native), English (Fluent), Chinese (Rudimentary)
Hobby : Watching baseball, soccer, & football (KBO, MLB, EPL, NFL), Playing the violin
Undergraduate RESEARCH EXPERIENCEs
Undergraduate RESEARCH EXPERIENCEs
Adaptive Control for nonlinear high-order polynomial systems
Keyword: optimal control, HJB equation, online learning, Lyapunov function
challenges: difficult to find the proper initial Lyapunov function in nonlinear systems
WAE may generate better images but VAE offers better representation
Keyword: Wasserstein distance, deterministic encoder, generative model, representation learning
challenges: difficult to evaluate the interpretation of generative deep learning model
WORKING EXPERIENCEs
WORKING EXPERIENCEs
Sports data analysis intern @ Fitogether Inc.
Aimed to find the best embedding vector for soccer players via contrastive representation learning
Practical soccer player retrieval only using tracking data
Semiconductor image data analysis intern @ SK Hynix
Aimed to find the explainable AI to highlight the basic reason why some semiconductor images are classified as abnormal
Winner of 2020 Summer Digital Transformation Division intern Competition
CONTACT
CONTACT
Email: jihun.kim@berkeley.edu
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