Takeshi Kamio

カミオタケシ | Takeshi Kamio

Affiliation and department：
Job title： Associate Professor

Research field (2)： Sensitivity (kansei) informatics , Intelligent informatics

Research keywords (3)： Communication and Signal Processing , Machine Learning , Neural Networks

Research theme for competitive and other funds (7)：

2019 - 2022 強化学習ベース多船航路探索法における行動表現の高度化
2016 - 2019 マルチエージェント強化学習による実航路の改善
2012 - 2015 強化学習ベース多船航路探索法に基づく海上交通アセスメントツールの実現
2009 - 2011 Development of multipath-wave-distortion Equalizer over Guard Interval in Terrestrial Digital Broadcasting
2009 - 2010 A Development of Assessment tool for Ships' Courses Based on Multi-Agent System

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Papers (38)：

S. Yasuda, S. Indrapriyadarsini, H. Ninomiya, T. Kamio, H. Asai. addHessian: Combining quasi-Newton method with first-order method for neural network training. Nonlinear Theory and Its Applications, IEICE. 2022. 13. 2. 361-366
S. Indrapriyadarsini, S. Mahboubi, H. Ninomiya, T. Kamio, H. Asai. Accelerating Symmetric Rank-1 Quasi-Newton Method with Nesterov’s Gradient for Training Neural Networks. Algorithms. 2021. 15. 1
S. Indrapriyadarsini, S. Mahboubi, H. Ninomiya, T. Kamio, H. Asai. A Nesterov’s Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning. Nonlinear Theory and Its Applications, IEICE. 2021. 12. 3. 323-335
Yoshinao Suzuki, Hisato Fujisaka, Takeshi Kamio. Sigma-delta domain bandpass and band-elimination wave filters. Nonlinear Theory and Its Applications, IEICE. 2017. 8. 4. 319-341
Hisato Fujisaka, Takeshi Kamio, Chang-Jun Ahn, Masahiro Sakamoto, Kazuhisa Haeiwa. A Sigma-Delta Domain Lowpass Wave Filter. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I. 2015. 42. 1. 167-176

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Lectures and oral presentations (124)：

On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method
(Proceedings of the 36th AAAI Conference on Artificial Intelligence 2022)
A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks
(Proceedings of the 36th AAAI Conference on Artificial Intelligence 2022)
A Nesterov’s Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning
(Proc. of International Symposium on Nonlinear Theory and Its Applications 2020)
A Reinforcement Learning Based Approach to Search Ships’ Courses Using Tracking Control
(Proc. of International Symposium on Nonlinear Theory and Its Applications 2020)
A Neural Network Approach to Analog Circuit Design Optimization Using Nesterov’s Accelerated Quasi-Newton Method
(Proc. International Symposium on Circuits and Systems (ISCAS), IEEE 2020)

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Education (1)：

- 1999 Shizuoka University Graduate School, Division of Electronic Science and Technology Applied Electronic Technology

Professional career (2)：

Work history (4)：

Association Membership(s) (3)：

電子情報通信学会 , 日本航海学会 , 計測自動制御学会

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