IEEE Systems, Man, and Cybernetics (SMC) Hiroshima Chapter

カテゴリー「Award受賞者」の記事一覧

IEEE SMC Hiroshima Chapter Young Researcher Award

2024年12月15日 / Award受賞者 日本語 /

– Masayuki Urabe (Hiroshima University)
“Improvement in Population-based Fluctuation GP for Dynamic Scheduling”,
co-authored with Tomohiro Hayashida, Shinya Sekizaki, and Ichiro Nishizaki

IEEE SMC Hiroshima Chapter Best Presentation Award

2024年04月20日 / Award受賞者 日本語 /

– Shinya Sekizaki (Hiroshima University)
“Distribution System Reconfiguration Using a Multiobjective Evolutionary Algorithm with an External Archive,” co-authored with Shuya Sato, Seigo Terayama, Ichiro Nishizaki, Tomohiro Hayashida, Takaaki Mutou and Yasuyuki Kunii

IEEE SMC Hiroshima Chapter Young Researcher Award

2023年12月10日 / Award受賞者 日本語 /

– Kotaro Asano (Hiroshima University)
“Development of Deep Reinforcement Learning Method for Multi-Agent Systems Using Data Sharing Based on Similarity between Agents”,
co-authored with Tomohiro Hayashida, Ichiro Nishizaki, and Shinya Sekizaki

IEEE SMC Hiroshima Chapter 若手研究会実行委員会奨励賞

2023年12月10日 / Award受賞者 日本語 /

– Ryuya Furukawa (Hiroshima University)
“Simulation Analysis of Path Optimization for Multiple Ball Picker Robots Using Hierarchical Reinforcement Learning”,
co-authored with Tomohiro Hayashida, Ichiro Nishizaki, and Shinya Sekizaki

– Soya Miyamoto (Hiroshima City University)
“Model Distillation Using Public Data for Time Series Classification Problem”,
co-authored with Akari Gengyo and Keiichi Tamura

– Shouta Abiru (Hiroshima City University)
“Based on Data-Free Model Distillation Decentralized Federated Learning”,
co-authored with Keiichi Tamura

IEEE SMC Hiroshima Chapter Young Researcher Award

2022年12月18日 / Award受賞者 日本語 /

– Ryuya Furukawa (Hiroshima University)
“Simulation Analysis of Path Optimization for Multiple Ball Picker Robots”,
co-authored with Tomohiro Hayashida, Daisuke Ishihira, Kazuhiro Kaneko, Ichiro Nishizaki, and Shinya Sekizaki

IEEE SMC Hiroshima Chapter 若手研究会実行委員会奨励賞

2022年12月18日 / Award受賞者 日本語 /

– Ibuki Maeda (Hiroshima University)
“Considerations for Rules for Periodic Dynamic Scheduling Problems Obtained by Evolutionary Computation Methods”, co-authored with Tomohiro Hayashida, Daisuke Hirotani, Ichiro Nishizaki, and Shinya Sekizaki

– Hiroto Funabashi (Hiroshima City University)
“Fireworks Algorithms with Bandit Algorithms for Function Optimization”, co-authored with Tetsuyuki Takahama and Akira Hara

– Keiji Kurume (Hiroshima City University)
“Image Classification based on Noisy Student with Transfer Learning”, co-authored with Keiichi Tamura

IEEE SMC Hiroshima Chapter 学生貢献賞

2022年12月18日 / Award受賞者 日本語 /

– Akari Gengyo (Hiroshima City University)
For significant contribution to the activities of IEEE SMC Hiroshima Chapter as a student committee member of IEEE SMC Hiroshima Chapter Young Researcher Workshop 2021 and 2022.

– Jun Teraoka (Hiroshima City University)
For significant contribution to the activities of IEEE SMC Hiroshima Chapter as a student committee member of IEEE SMC Hiroshima Chapter Young Researcher Workshop 2021 and 2022.

IEEE SMC Hiroshima Chapter Best Presentation Award

2022年04月18日 / Award Award受賞者 /

– Prof. Shinya Sekizaki (Hirohsima University)
“A multi-objective evolutionary algorithm for decision support using infeasible information”, co-authored Ichiro Nishizaki and Tomohiro Hayashida

IEEE SMC Hiroshima Chapter 若手研究会実行委員会奨励賞

2021年12月22日 / Award Award受賞者 /

– Daikichi Akagi (Hiroshima Institute of Technology)
“Chlorophyll Concentration Estimation Using
the Visible Light Spectrum of Water Surface Images”, co-authored with Ayumi Matsumoto and Toshihiko Hamasaki

– Ibuki Maeda (Hiroshima University)
“Solving the Cyclic Dynamic Scheduling Problem
with the Parallel Genetic Programming Using the Elite Individuals”, co-authored with Tomohiro Hayashida, Daisuke Hirotani, Ichiro Nishizaki, and Shinya Sekizaki

– Naoki Takahashi (Hiroshima University)
“A Study of Robust Unit Commitment based on
IGDT Against Uncertainties of Photovoltalic Power”, co-authored with Yutaka Sasaki, Yoshifumi Zoka, and Naoto Yorino

IEEE SMC Hiroshima Chapter Young Researcher Award

2021年12月22日 / Award Award受賞者 /

– Akari Gengyo (Hiroshima City University)
“Compression of Time Series Classification Model MC-MHLF
using Knowledge Distillation”, co-authored by Keiichi Tamura

– Makoto Ueoka (Hiroshima University)
“Basic Design for Microgrid Emergency Operation Considering Demand Response”, co-authored with Yutaka Sasaki, Yoshifumi Zoka, and Naoto Yorino