Kenji Fujimoto

is a Japanese chef who was the personal sushi chef of former North Korean leader Kim Jong Il from 1988 to 2001. Fujimoto, who uses a pseudonym and whose real name is not public knowledge, published a memoir in 2003 entitled ''I was Kim Jong-il's Cook'', detailing many of his experiences with Kim Jong Il. The veracity of his claims were initially doubted by skeptics. However, Fujimoto correctly predicted that Kim Jong Un (who was relatively unknown at that time) would be appointed as his father's successor as Supreme Leader instead of Kim Jong-nam or Kim Jong-chul, which was contrary to the prevailing consensus of experts on North Korean politics. Fujimoto's prediction proved true in December 2011.

A leaked U.S. diplomatic cable from Tokyo revealed that he was the best and often the sole source of North Korean information for the Cabinet Intelligence and Research Office. Provided by Wikipedia
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  1. 1
    A Study on Numerical Solutions of Hamilton-Jacobi-Bellman Equations Based on Successive Approximation Approach

    A Study on Numerical Solutions of Hamilton-Jacobi-Bellman Equations Based on Successive Approximation Approach by Ichiro Maruta, Shuhei Nishida, Kenji Fujimoto

    Published 2020-05-01
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  2. 2
    Kernel-Based Hamilton–Jacobi Equations for Data-Driven Optimal and H-Infinity Control

    Kernel-Based Hamilton–Jacobi Equations for Data-Driven Optimal and H-Infinity Control by Yuji Ito, Kenji Fujimoto, Yukihiro Tadokoro

    Published 2020-01-01
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  3. 3
    System Identification of Nonlinear State-Space Models with Linearly Dependent Unknown Parameters Based on Variational Bayes

    System Identification of Nonlinear State-Space Models with Linearly Dependent Unknown Parameters Based on Variational Bayes by Kenji Fujimoto, Akihiro Taniguchi, Yoshiharu Nishida

    Published 2018-11-01
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  4. 4
    Numerical Solutions of Hamilton-Jacobi Inequalities by Constrained Gaussian Process Regression

    Numerical Solutions of Hamilton-Jacobi Inequalities by Constrained Gaussian Process Regression by Kenji Fujimoto, Hirofumi Beppu, Yuji Takaki

    Published 2018-09-01
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  5. 5
    Control of an omnidirectional mobile robot with wheels connected by passive sliding joints

    Control of an omnidirectional mobile robot with wheels connected by passive sliding joints by Tatsuro TERAKAWA, Masaharu KOMORI, Kenji FUJIMOTO

    Published 2019-01-01
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  6. 6
    Value iteration with deep neural networks for optimal control of input-affine nonlinear systems

    Value iteration with deep neural networks for optimal control of input-affine nonlinear systems by Hirofumi Beppu, Ichiro Maruta, Kenji Fujimoto

    Published 2021-01-01
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  7. 7
    A Unified Approach of Controller Design and System Identification for Optimal Control of Single-Input Nonlinear Systems

    A Unified Approach of Controller Design and System Identification for Optimal Control of Single-Input Nonlinear Systems by Yuji Ito, Kenji Fujimoto, Takayoshi Yoshimura, Yukihiro Tadokoro

    Published 2018-11-01
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  8. 8
    Locally deforming continuation method based on a shooting method for a class of optimal control problems

    Locally deforming continuation method based on a shooting method for a class of optimal control problems by Kiyoshi Hamada, Ichiro Maruta, Kenji Fujimoto, Kenniti Hamamoto

    Published 2021-06-01
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  9. 9
    On the Method of Generating a Circular-Clothoid Trajectory for Front-Steering Vehicles Based on L1/L2-Optimal Control

    On the Method of Generating a Circular-Clothoid Trajectory for Front-Steering Vehicles Based on L1/L2-Optimal Control by Kiyoshi Hamada, Ichiro Maruta, Kenji Fujimoto, Kenniti Hamamoto

    Published 2020-05-01
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  10. 10
    Highlighted Map for Mobile Robot Localization and Its Generation Based on Reinforcement Learning

    Highlighted Map for Mobile Robot Localization and Its Generation Based on Reinforcement Learning by Ryota Yoshimura, Ichiro Maruta, Kenji Fujimoto, Ken Sato, Yusuke Kobayashi

    Published 2020-01-01
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  11. 11
    Bayesian Inference for Path Following Control of Port-Hamiltonian Systems with Training Trajectory Data

    Bayesian Inference for Path Following Control of Port-Hamiltonian Systems with Training Trajectory Data by Yuki Okura, Kenji Fujimoto, Ichiro Maruta, Akio Saito, Hidetoshi Ikeda

    Published 2020-03-01
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  12. 12
    Diabetes severity measured by treatment control status and number of anti-diabetic drugs affects presenteeism among workers with type 2 diabetes

    Diabetes severity measured by treatment control status and number of anti-diabetic drugs affects presenteeism among workers with type 2 diabetes by Takahiro Mori, Tomohisa Nagata, Masako Nagata, Kenji Fujimoto, Yoshihisa Fujino, Koji Mori

    Published 2021-10-01
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  13. 13
    Epidemiological Study of Hospital Admissions for Food-Induced Anaphylaxis Using the Japanese Diagnosis Procedure Combination Database

    Epidemiological Study of Hospital Admissions for Food-Induced Anaphylaxis Using the Japanese Diagnosis Procedure Combination Database by Keiji Muramatsu, Hanaka Imamura, Kei Tokutsu, Kenji Fujimoto, Kiyohide Fushimi, Shinya Matsuda

    Published 2022-04-01
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  14. 14
    Estimation of the Number of Patients With Mitochondrial Diseases: A Descriptive Study Using a Nationwide Database in Japan

    Estimation of the Number of Patients With Mitochondrial Diseases: A Descriptive Study Using a Nationwide Database in Japan by Koki Ibayashi, Yoshihisa Fujino, Masakazu Mimaki, Kenji Fujimoto, Shinya Matsuda, Yu-ichi Goto

    Published 2023-02-01
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  15. 15
    Clinical characteristics in patients with non-alcoholic steatohepatitis in Japan: a case–control study using a 5-year large-scale claims database

    Clinical characteristics in patients with non-alcoholic steatohepatitis in Japan: a case–control study using a 5-year large-scale claims database by Kei Tokutsu, Shinya Matsuda, Kaoru Ito, Shigeki Kawazoe, Sota Minami, Kenji Fujimoto, Keiji Muramatsu

    Published 2023-08-01
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  16. 16
    Applying a Method for Augmenting Data Mixed from Two Different Sources Using Deep Generative Neural Networks to Management Science

    Applying a Method for Augmenting Data Mixed from Two Different Sources Using Deep Generative Neural Networks to Management Science by Shinya Watanuki, Yumiko Nomura, Yuki Kiyota, Minami Kubo, Kenji Fujimoto, Junko Okada, Katsue Edo

    Published 2023-12-01
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  17. 17
    Ruptured dermoid cyst consisting of two adjacent masses with different components in the middle and posterior cranial fossa

    Ruptured dermoid cyst consisting of two adjacent masses with different components in the middle and posterior cranial fossa by Yukihiro Imaoka, MD, Yuki Ohmori, MD, Ph. D, Kenji Fujimoto, MD, Junichi Kuratsu, MD, Ph. D, Shigetoshi Yano, MD, Ph. D

    Published 2018-03-01
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