– 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

– 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

– 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.

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

– 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

– 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

The Award Selection Committee in IEEE SMC Hiroshima Chapter chose the award winner group of “IEEE SMC Hiroshima Chapter Contribution Award” from all the IEEE SMC Hiroshima Chapter (59) Members based on the achievements over the past 4 years. The 2017-2018 IEEE SMC Hiroshima Chapter Organizing Committee took the leadership for activating the SMC research fields by planning and conducting International Workshops (IEEE IWCIAs) and Special Sessions in IEEE SMC Conferences. In addition, the group serves Chapter members by conducting Young Researchers’ Workshops, and Invited special lectures.　Based on these activities, SMC Hiroshima Chapter was awarded “IEEE Outstanding SMCS Chapter Award” by the SMC Society in 2019. As a result, the SMC Hiroshima Chapter has been globally recognized as an outstanding chapter. Thus, the group contributed greatly for the development of the SMC fields in Hiroshima.

The Award Selection Committee in IEEE SMC Hiroshima Chapter chose the award winner of “IEEE SMC Hiroshima Chapter Best Presentation Award” from 10 candidates, whose papers have been submitted to “2019 IEEE 11th International Workshop on Computational Intelligence and Applications” held on November 9-10, 2019. The candidates must be under 35 years old and be IEEE SMC Society Members.

The Award Selection Committee, which is composed of five IEEE SMC Hiroshima Chapter Officers and two executive committee members of Young Researchers’ Workshop, chose the award winner of “IEEE SMC Hiroshima Chapter Young Researcher Award” from 35 candidates, whose papers have been submitted to “2019 IEEE SMC Hiroshima Chapter Young Researchers’ Workshop” held on July 20, 2019. The award winner must be students under 35 years old and be IEEE SMC Society Members.