Hamada Naoki

ハマダナオキ | Hamada Naoki

Affiliation and department：
Job title：研究員
Other affiliations (1)：

RIKEN AIP Visiting Researcher

Research field (2)： Soft computing , Mathematical informatics

Research keywords (6)： machine learning , singularity theory , topological data analysis , evolutionary computation , multi-objective optimization , optimization

Research theme for competitive and other funds (4)：

2019 - 2019 Development of multi-objective optimization benchmarks based on practice and mathematics
2018 - 2018 Multiobjective optimization and singularity theory: Classification of Pareto point singularities
2017 - 2017 Visualization of solution sets in many-objective optimization via vector-valued stratified Morse theory
2010 - 2013 多目的最適化のための次世代進化計算手法の構築

Papers (52)：

Naoki Hamada, Shunsuke Ichiki. Free Disposal Hull Condition to Verify When Efficiency Coincides with Weak Efficiency. Journal of Optimization Theory and Applications. 2021. 192. 1. 248-270
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada. Approximate Bayesian Computation of Bézier Simplices. CoRR. 2021. abs/2104.04679
Toshio Ito, Naoki Hamada, Kotaro Ohori, Hiroyuki Higuchi. A Fast Approximation of the Nadaraya-Watson Regression with the k-Nearest Neighbor Crossover Kernel. 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI). 2020
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada. Asymptotic Risk of Bézier Simplex Fitting. Proceedings of the AAAI Conference on Artificial Intelligence. 2020. 34. 03. 2416-2424
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada. Asymptotic Risk of Bézier Simplex Fitting. The Thirty-Fourth AAAI Conference on Artificial Intelligence(AAAI). 2020. 2416-2424

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MISC (6)：

濱田直希. Society 5.0のためのデータ解析と最適化. 計測と制御. 2019. 58. 9. 675-678(J-STAGE)
千葉一永, 梅田裕平, 濱田直希, 保江かな子. 設計情報学を利用した航空宇宙分野での非定常データ解析に向けた新たな試み. 計測と制御. 2019. 58. 9. 699-702(J-STAGE)
HAMADA Naoki. Editorial Essay. Journal of The Society of Instrument and Control Engineers. 2019. 58. 9. 728-728
上村健人, 濱田直希, 小林健, 岩根秀直. 適切な重みの推定による BS-AWA の効率化. 第 12 回進化計算学会研究会. 2017
濱田直希, 上村健人, 小林健, 岩根秀直, 稲越宏弥, 穴井宏和. Multiple Euclidean Distances 問題の性質について. 第 12 回進化計算学会研究会. 2017

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Lectures and oral presentations (25)：

Asymptotic Risk of Bézier Simplex Fitting
(The 22nd Information-Based Induction Sciences Workshop 2019)
Development of multi-objective optimization benchmarks based on practice and mathematics
(Development of Multi-objective Optimization Benchmarks Based on Practice and Mathematics 2019)
Projections and contours of Pareto fronts
(Development of a Mathematical Theory on Methods for Recognizing Contours and its Applications to Engineering 2019)
Asymptotic Risk of Bézier Simplex Fitting
(The 3rd International Conference on Compute and Data Analysis 2019)
Topology of Pareto sets of strongly convex C^2-mappings
(Geometry and Singularity 2019, Tokyo Gakugei University Small Seminar 2019)

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Education (3)：

2010 - 2013 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering Department of Computational Intelligence and Systems Science (PhD course)
2008 - 2010 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering Department of Computational Intelligence and Systems Science (MS course)
2003 - 2008 Tokyo Institute of Technology School of Life Science and Technology Department of Life Science

Professional career (1)：

PhD. Engineering (Tokyo Institute of Technology)

Work history (2)：

2013/04 - 現在 Fujitsu Laboratories Ltd. Artificial Intelligence Research Center Researcher
2010/04 - 2013/03 The Japan Society for the Promotion of Science JSPS Fellow (DC1)

Committee career (7)：

2020/01 - 2020/09 進化計算学会実世界ベンチマーク問題分科会代表幹事
2019/02 - 2019/02 ICACCP2019 Committee Session Chairs, Technical Program Committee
2017/01 - 2018/12 計測自動制御学会会誌編集委員会委員
2017/01 - 2017/12 2017 4th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2017) Program Co Chairs
2017/01 - 2017/12 2017 4th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2017) Program Co Chairs

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Awards (4)：

2016/12 - The Japanese Society for Evolutionary Computation 2016 Meeting Best Paper Award Knee Point Detection of Many-Objective Pareto Fronts Based on the Reeb Graph
2013/12 - The Japanese Society for Evolutionary Computation 2013 Best Paper Award Adaptive Weighted Aggregation: A Multi-Start Framework Taking Account of the Coverage of Solutions for Continuous Multi-Objective Optimization
2011/06 - The Japanese Society for Artificial Intelligence JSAI Incentive Award Improvement of Scalability of Adaptive Weighted Aggregation
2010/12 - IEEE Computational Intelligence Society Japan Chapter IEEE CIS Japan Chapter Young Researcher Award Analysis on Scalability of AWA for Multiobjective Function Optimization

Association Membership(s) (3)：

THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS , THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE , THE JAPANESE SOCIETY FOR EVOLUTIONARY COMPUTATION

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